ç$: -1.5 0.80623 [-1, -1, -1, -1, -3, -1, -3, -1, -2, -1] 🤑 -1.5 0.80623 [-1, -1, -1, -1, -3, -1, -3, -1, -2, -1] %) -0.4 1.0198 [-1, 0, -1, 0, 0, -2, -1, 2, -1, 0] %-) -1.5 1.43178 [-2, 0, -2, -2, -1, 2, -2, -3, -2, -3] &-: -0.4 1.42829 [-3, -1, 0, 0, -1, -1, -1, 2, -1, 2] &: -0.7 0.64031 [0, -1, -1, -1, 1, -1, -1, -1, -1, -1] ( '}{' ) 1.6 0.66332 [1, 2, 2, 1, 1, 2, 2, 1, 3, 1] (% -0.9 0.9434 [0, 0, 1, -1, -1, -1, -2, -2, -1, -2] ('-: 2.2 1.16619 [4, 1, 4, 3, 1, 2, 3, 1, 2, 1] 😉 2.2 1.16619 [4, 1, 4, 3, 1, 2, 3, 1, 2, 1] (': 2.3 0.9 [1, 3, 3, 2, 2, 4, 2, 3, 1, 2] ((-: 2.1 0.53852 [2, 2, 2, 1, 2, 3, 2, 2, 3, 2] (* 1.1 1.13578 [2, 1, 1, -1, 1, 2, 2, -1, 2, 2] 🙂 1.1 1.13578 [2, 1, 1, -1, 1, 2, 2, -1, 2, 2] (-% -0.7 1.26886 [-1, 2, 0, -1, -1, -2, 0, 0, -3, -1] (-* 1.3 1.26886 [4, 1, 2, 0, 2, -1, 1, 2, 1, 1] (-: 1.6 0.8 [2, 2, 1, 3, 1, 1, 1, 3, 1, 1] 🙂 1.6 0.8 [2, 2, 1, 3, 1, 1, 1, 3, 1, 1] (-:0 2.8 0.87178 [3, 2, 3, 4, 3, 2, 3, 1, 4, 3] (-:< -0.4 2.15407 [-3, 3, -1, -1, 2, -1, -2, 3, -3, -1] (-:o 1.5 0.67082 [3, 1, 1, 2, 2, 2, 1, 1, 1, 1] (-:O 1.5 0.67082 [3, 1, 1, 2, 2, 2, 1, 1, 1, 1] (-:{ -0.1 1.57797 [-2, -3, 1, -2, 1, 1, 0, 0, 2, 1] (-:|>* 1.9 0.83066 [3, 2, 2, 1, 0, 2, 3, 2, 2, 2] (-; 1.3 1.18743 [3, 2, 3, 0, 1, -1, 1, 2, 1, 1] (-;| 2.1 1.13578 [3, 2, 2, 4, 1, 1, 1, 4, 2, 1] (8 2.6 1.0198 [4, 2, 1, 3, 3, 3, 3, 1, 2, 4] 🤓 2.6 1.0198 [4, 2, 1, 3, 3, 3, 3, 1, 2, 4] (: 2.2 1.16619 [3, 1, 1, 2, 1, 2, 4, 3, 4, 1] (:0 2.4 1.11355 [0, 2, 3, 4, 3, 2, 3, 3, 1, 3] (:< -0.2 2.03961 [-2, -3, 1, 1, 2, -1, 2, 1, -4, 1] (:o 2.5 0.92195 [3, 3, 1, 3, 3, 1, 2, 2, 4, 3] 😇 2.5 0.92195 [3, 3, 1, 3, 3, 1, 2, 2, 4, 3] (:O 2.5 0.92195 [3, 3, 1, 3, 3, 1, 2, 2, 4, 3] 😇 2.5 0.92195 [3, 3, 1, 3, 3, 1, 2, 2, 4, 3] (; 1.1 1.22066 [3, 1, 1, -1, 1, 2, 2, -1, 1, 2] (;< 0.3 1.00499 [1, 2, -1, -1, 0, 0, 1, -1, 1, 1] (= 2.2 1.16619 [3, 1, 2, 2, 1, 1, 4, 3, 4, 1] (?: 2.1 0.83066 [2, 2, 1, 3, 2, 2, 4, 1, 2, 2] (^: 1.5 0.67082 [1, 2, 2, 1, 3, 2, 1, 1, 1, 1] (^; 1.5 0.5 [1, 2, 2, 1, 2, 1, 2, 1, 1, 2] (^;0 2.0 0.7746 [2, 2, 1, 2, 1, 4, 2, 2, 2, 2] (^;o 1.9 0.83066 [2, 2, 1, 2, 1, 4, 2, 1, 2, 2] (o: 1.6 0.8 [2, 1, 3, 1, 1, 1, 2, 3, 1, 1] 😮 1.6 0.8 [2, 1, 3, 1, 1, 1, 2, 3, 1, 1] )': -2.0 0.44721 [-2, -2, -2, -2, -1, -3, -2, -2, -2, -2] 😪 -2.0 0.44721 [-2, -2, -2, -2, -1, -3, -2, -2, -2, -2] )-': -2.1 0.53852 [-2, -2, -3, -2, -1, -2, -3, -2, -2, -2] )-: -2.1 0.9434 [-3, -2, -4, -1, -3, -2, -2, -2, -1, -1] )-:< -2.2 0.4 [-2, -2, -2, -2, -2, -2, -3, -3, -2, -2] )-:{ -2.1 0.9434 [-1, -3, -2, -1, -2, -2, -3, -4, -1, -2] ): -1.8 0.87178 [-1, -3, -1, -2, -1, -3, -1, -3, -1, -2] ):< -1.9 0.53852 [-1, -3, -2, -2, -2, -1, -2, -2, -2, -2] ):{ -2.3 0.78102 [-1, -2, -3, -3, -2, -2, -4, -2, -2, -2] 👿 -2.3 0.78102 [-1, -2, -3, -3, -2, -2, -4, -2, -2, -2] );< -2.6 0.8 [-2, -2, -2, -3, -2, -3, -2, -2, -4, -4] 🤮 -2.6 0.8 [-2, -2, -2, -3, -2, -3, -2, -2, -4, -4] *) 0.6 1.42829 [1, -1, 1, -3, 1, 1, 2, 1, 1, 2] *-) 0.3 1.61555 [1, -3, -2, 2, 1, 1, -1, 2, 1, 1] *-: 2.1 1.51327 [2, 2, 4, 4, 2, 1, -1, 4, 1, 2] *-; 2.4 1.62481 [2, 3, 4, 4, 2, 1, -1, 4, 1, 4] *: 1.9 1.04403 [2, 1, 1, 3, 1, 2, 4, 3, 1, 1] *<|:-) 1.6 1.28062 [0, 1, 3, 1, 1, 2, 3, 0, 4, 1] *\0/* 2.3 1.00499 [2, 0, 3, 1, 3, 3, 2, 3, 3, 3] *^: 1.6 1.42829 [2, 2, 1, 3, 2, 2, 3, 3, -1, -1] ,-: 1.2 0.4 [1, 1, 2, 1, 1, 1, 1, 1, 2, 1] ---'-;-{@ 2.3 1.18743 [0, 1, 3, 4, 2, 3, 2, 2, 2, 4] --<--<@ 2.2 1.249 [0, 1, 2, 4, 2, 1, 3, 2, 3, 4] .-: -1.2 0.4 [-1, -1, -1, -1, -1, -1, -2, -1, -2, -1] ..###-: -1.7 0.78102 [-2, -3, -3, -2, -1, -1, -1, -1, -1, -2] ..###: -1.9 1.04403 [-4, -1, -3, -1, -2, -2, -1, -3, -1, -1] 🤮 -1.9 1.04403 [-4, -1, -3, -1, -2, -2, -1, -3, -1, -1] /-: -1.3 0.64031 [-1, -1, -1, -1, -1, -1, -1, -2, -3, -1] /: -1.3 0.45826 [-2, -1, -1, -1, -2, -1, -1, -2, -1, -1] /:< -1.4 0.4899 [-1, -2, -2, -1, -1, -1, -1, -1, -2, -2] /= -0.9 0.53852 [-1, -1, -1, 0, -1, -2, -1, -1, -1, 0] /^: -1.0 0.7746 [-2, -1, -2, 1, -1, -1, -1, -1, -1, -1] /o: -1.4 0.66332 [0, -2, -1, -1, -2, -2, -1, -2, -1, -2] 0-8 0.1 1.44568 [2, -1, -2, 0, 2, 0, 2, 0, -2, 0] 0-| -1.2 0.4 [-2, -1, -1, -1, -1, -1, -1, -1, -2, -1] 0:) 1.9 1.04403 [2, 2, 2, 1, 0, 2, 4, 1, 3, 2] 0:-) 1.4 0.91652 [2, 1, 0, 1, 2, 3, 2, 1, 2, 0] 0:-3 1.5 0.92195 [2, 1, 0, 2, 2, 3, 2, 1, 2, 0] 0:03 1.9 1.22066 [2, 3, 2, 0, 0, 1, 4, 2, 3, 2] 0;^) 1.6 0.91652 [0, 1, 3, 1, 2, 1, 2, 1, 2, 3] 0_o -0.3 0.78102 [0, -2, 0, 1, 0, 0, -1, 0, -1, 0] 10q 2.1 1.22066 [1, 3, 1, 2, 1, 4, 3, 4, 1, 1] 1337 2.1 1.13578 [3, 1, 4, 0, 2, 3, 1, 2, 2, 3] 143 3.2 0.74833 [4, 4, 2, 3, 2, 3, 4, 3, 4, 3] 1432 2.6 0.8 [4, 3, 3, 2, 2, 4, 2, 2, 2, 2] 14aa41 2.4 0.91652 [3, 2, 2, 4, 2, 2, 1, 2, 4, 2] 182 -2.9 1.3 [-4, 0, -3, -3, -1, -3, -4, -4, -4, -3] 187 -3.1 1.22066 [-4, 0, -4, -3, -2, -4, -3, -3, -4, -4] 2g2b4g 2.8 0.6 [4, 2, 3, 2, 3, 3, 3, 3, 2, 3] 2g2bt -0.1 1.57797 [-1, 2, -1, 1, 0, 2, 0, -3, -2, 1] 2qt 2.1 0.83066 [3, 3, 3, 3, 2, 1, 2, 1, 2, 1] 3:( -2.2 0.87178 [-4, -3, -2, -3, -2, -1, -1, -2, -2, -2] 3:) 0.5 1.28452 [-2, 1, -2, 1, 1, 1, 1, 2, 1, 1] 3:-( -2.3 0.78102 [-2, -3, -2, -2, -2, -2, -4, -1, -3, -2] 3:-) -1.4 1.35647 [-1, -2, 1, 1, -2, -2, -3, -1, -3, -2] 4col -2.2 1.16619 [-2, -3, -1, -3, -4, -1, -2, -1, -4, -1] 4q -3.1 1.51327 [-3, -3, -4, -2, -4, -4, -4, 1, -4, -4] 5fs 1.5 1.11803 [1, 2, 1, 1, 2, 3, 2, 3, -1, 1] 8) 1.9 0.7 [2, 2, 2, 1, 1, 2, 2, 3, 3, 1] 8-d 1.7 0.64031 [1, 2, 0, 2, 2, 2, 2, 2, 2, 2] 8-o -0.3 0.78102 [1, -1, 0, 0, 0, -1, 0, -2, 0, 0] 86 -1.6 1.0198 [-1, -1, -1, -1, -1, -4, -1, -2, -1, -3] 8d 2.9 0.53852 [3, 3, 4, 2, 3, 3, 3, 3, 2, 3] :###.. -2.4 0.91652 [-3, -2, -4, -3, -1, -2, -2, -3, -1, -3] :$ -0.2 1.83303 [-2, -1, 0, 0, -1, 1, 4, -3, 1, -1] :& -0.6 1.0198 [-2, -1, 0, 0, -1, -1, 1, -2, 1, -1] :'( -2.2 0.74833 [-2, -1, -2, -2, -2, -2, -4, -3, -2, -2] :') 2.3 0.78102 [3, 1, 3, 2, 2, 2, 2, 4, 2, 2] :'-( -2.4 0.66332 [-2, -1, -2, -3, -2, -3, -3, -3, -2, -3] :'-) 2.7 0.64031 [2, 1, 3, 3, 3, 3, 3, 3, 3, 3] :( -1.9 1.13578 [-2, -3, -2, 0, -1, -1, -2, -3, -1, -4] :) 2.0 1.18322 [2, 2, 1, 1, 1, 1, 4, 3, 4, 1] :* 2.5 1.0247 [3, 2, 1, 1, 2, 3, 4, 3, 4, 2] :-###.. -2.5 0.92195 [-3, -2, -3, -2, -4, -3, -1, -3, -1, -3] :-& -0.5 0.92195 [-1, -1, 0, -1, -1, -1, -1, 0, 2, -1] :-( -1.5 0.5 [-2, -1, -1, -1, -2, -2, -2, -1, -2, -1] :-) 1.3 0.45826 [1, 1, 1, 1, 2, 1, 2, 1, 2, 1] :-)) 2.8 1.07703 [3, 4, 4, 1, 2, 2, 4, 2, 4, 2] :-* 1.7 0.64031 [1, 2, 1, 1, 1, 3, 2, 2, 2, 2] :-, 1.1 0.53852 [1, 1, 1, 0, 1, 1, 1, 1, 2, 2] :-. -0.9 0.53852 [-1, -1, 0, -1, 0, -1, -1, -1, -2, -1] :-/ -1.2 0.6 [0, -1, -1, -1, -1, -2, -2, -1, -1, -2] :-< -1.5 0.5 [-2, -1, -1, -2, -1, -2, -2, -1, -2, -1] :-d 2.3 0.45826 [2, 2, 3, 3, 2, 3, 2, 2, 2, 2] :-D 2.3 0.45826 [2, 2, 3, 3, 2, 3, 2, 2, 2, 2] :-o 0.1 1.3 [2, -1, -2, 0, 1, 1, 2, 0, -1, -1] :-p 1.2 0.4 [1, 2, 1, 1, 1, 1, 2, 1, 1, 1] :-[ -1.6 0.4899 [-1, -2, -1, -2, -2, -1, -2, -1, -2, -2] :-\ -0.9 0.3 [-1, -1, -1, -1, -1, -1, -1, 0, -1, -1] :-c -1.3 0.45826 [-1, -1, -1, -2, -2, -1, -2, -1, -1, -1] :-p 1.5 0.5 [1, 1, 1, 1, 1, 2, 2, 2, 2, 2] :-| -0.7 0.64031 [-1, -1, 0, 0, 0, -1, -1, -2, 0, -1] :-|| -2.5 0.67082 [-2, -2, -2, -3, -2, -3, -3, -2, -2, -4] :-? 0.9 1.04403 [1, -1, 1, 2, 1, -1, 1, 2, 2, 1] :/ -1.4 0.66332 [-1, -1, -1, -1, -1, -1, -3, -2, -2, -1] :3 2.3 1.26886 [4, 1, 1, 1, 2, 2, 4, 3, 4, 1] :< -2.1 0.7 [-3, -1, -2, -2, -2, -2, -3, -3, -2, -1] :> 2.1 1.22066 [3, 1, 1, 1, 1, 2, 4, 3, 4, 1] :?) 1.3 0.64031 [3, 1, 1, 1, 1, 2, 1, 1, 1, 1] :?c -1.6 0.4899 [-1, -2, -1, -1, -2, -2, -1, -2, -2, -2] :@ -2.5 0.80623 [-1, -3, -3, -2, -1, -3, -3, -3, -3, -3] :d 2.3 1.1 [4, 2, 2, 1, 2, 1, 4, 3, 3, 1] :D 2.3 1.1 [4, 2, 2, 1, 2, 1, 4, 3, 3, 1] 😀 2.3 1.1 [4, 2, 2, 1, 2, 1, 4, 3, 3, 1] :l -1.7 0.9 [-1, -3, -1, -1, -1, -3, -2, -3, -1, -1] :o -0.4 1.35647 [2, -1, -2, 0, 1, 0, -3, 0, -1, 0] :p 1.0 0.7746 [-1, 1, 1, 1, 1, 1, 2, 1, 2, 1] :s -1.2 0.9798 [-2, -2, -1, -1, -1, 1, -3, -1, -1, -1] :[ -2.0 0.63246 [-2, -2, -1, -2, -2, -3, -3, -2, -1, -2] :\ -1.3 0.45826 [-2, -1, -1, -1, -1, -1, -2, -1, -1, -2] :] 2.2 1.16619 [3, 1, 1, 1, 3, 1, 4, 2, 2, 4] :^) 2.1 1.13578 [3, 2, 4, 1, 1, 1, 1, 2, 4, 2] :^* 2.6 0.91652 [2, 1, 2, 3, 4, 4, 3, 2, 3, 2] :^/ -1.2 0.6 [-2, -1, -2, 0, -1, -1, -1, -1, -2, -1] :^\ -1.0 0.44721 [-1, -1, -1, -1, -1, -2, 0, -1, -1, -1] :^| -1.0 0.0 [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1] :c -2.1 0.83066 [-3, -2, -1, -2, -2, -1, -3, -3, -3, -1] :c) 2.0 1.18322 [2, 1, 1, 1, 1, 2, 3, 4, 4, 1] :o) 2.1 0.9434 [1, 3, 3, 1, 1, 3, 2, 3, 1, 3] :o/ -1.4 0.4899 [-1, -1, -1, -2, -1, -1, -2, -2, -1, -2] :o\ -1.1 0.3 [-1, -1, -1, -2, -1, -1, -1, -1, -1, -1] :o| -0.6 1.0198 [0, 0, 0, 0, -1, 0, 0, -3, 0, -2] :p 1.4 0.8 [3, 1, 0, 2, 1, 1, 2, 2, 1, 1] :{ -1.9 0.83066 [-2, -1, -1, -2, -2, -1, -3, -3, -3, -1] :| -0.4 1.11355 [-1, -1, 0, -1, -1, -1, 1, -2, 2, 0] :} 2.1 1.22066 [3, 1, 1, 1, 2, 1, 4, 3, 4, 1] :? 1.1 0.53852 [1, 1, 1, 1, 0, 1, 1, 2, 2, 1] ;) 0.9 1.04403 [2, -1, 1, 1, 1, 1, -1, 2, 2, 1] ;-) 1.0 1.73205 [1, -2, 1, -2, 1, 4, 2, 1, 2, 2] ;-* 2.2 0.74833 [2, 2, 1, 3, 4, 2, 2, 2, 2, 2] ;-] 0.7 1.67631 [1, -2, 1, -3, 1, 2, 2, 1, 2, 2] ;d 0.8 1.249 [2, -1, 2, 1, 1, 1, -2, 2, 1, 1] ;D 0.8 1.249 [2, -1, 2, 1, 1, 1, -2, 2, 1, 1] ;] 0.6 1.11355 [1, -1, 1, 1, 1, 1, -2, 2, 1, 1] ;^) 1.4 0.91652 [2, 2, 1, 2, 1, 2, -1, 1, 2, 2] -: -2.0 0.89443 [-2, -3, -2, -4, -1, -1, -1, -2, -2, -2] >.< -1.3 0.45826 [-1, -2, -1, -2, -2, -1, -1, -1, -1, -1] >: -2.1 1.13578 [-4, -1, -1, -4, -2, -3, -1, -1, -2, -2] >:( -2.7 0.64031 [-2, -3, -2, -3, -3, -2, -4, -2, -3, -3] >:) 0.4 1.42829 [1, 1, 2, 1, -1, -2, 1, 2, -2, 1] >:-( -2.7 0.78102 [-3, -2, -3, -2, -4, -2, -3, -2, -2, -4] >:-) -0.4 1.68523 [1, 2, 1, -2, -2, -1, -1, -3, -1, 2] >:/ -1.6 0.8 [-1, -2, -1, -3, -1, -1, -1, -1, -2, -3] >:o -1.2 1.16619 [-3, -1, -2, 0, -2, -2, 0, -1, 1, -2] >:p 1.0 0.7746 [-1, 1, 1, 2, 1, 2, 1, 1, 1, 1] >:[ -2.1 0.53852 [-2, -2, -2, -2, -3, -3, -2, -1, -2, -2] >:\ -1.7 0.64031 [-1, -2, -1, -2, -2, -3, -1, -1, -2, -2] >;( -2.9 0.7 [-3, -4, -3, -2, -2, -3, -3, -3, -2, -4] >;) 0.1 1.04403 [-1, 1, 0, -1, 2, 0, -1, 1, 1, -1] >_>^ 2.1 0.9434 [2, 2, 1, 4, 3, 2, 1, 3, 1, 2] @: -2.1 0.9434 [-3, -2, -3, -1, -2, -4, -1, -2, -1, -2] @>-->-- 2.1 1.22066 [1, 1, 0, 2, 4, 2, 4, 2, 3, 2] @}-;-'--- 2.2 1.32665 [0, 1, 3, 2, 1, 4, 4, 1, 3, 3] aas 2.5 0.80623 [2, 3, 3, 4, 1, 2, 3, 2, 2, 3] aayf 2.7 0.78102 [2, 3, 2, 4, 3, 2, 2, 3, 4, 2] afu -2.9 0.83066 [-3, -3, -3, -3, -3, -1, -4, -4, -2, -3] alol 2.8 0.74833 [2, 2, 2, 3, 3, 2, 3, 4, 4, 3] ambw 2.9 0.7 [2, 3, 4, 2, 3, 2, 3, 3, 4, 3] aml 3.4 0.66332 [4, 3, 2, 4, 3, 3, 4, 4, 3, 4] atab -1.9 1.22066 [-2, 0, -1, -2, -1, -1, -2, -4, -4, -2] awol -1.3 0.78102 [0, -1, -1, -1, -1, -1, -2, -2, -3, -1] ayc 0.2 0.9798 [0, 1, -1, 1, 0, 1, 0, -1, 2, -1] ayor -1.2 0.6 [-1, -1, -2, -2, -1, -1, -1, 0, -2, -1] aug-00 0.3 1.18743 [2, 0, -2, 0, 0, 1, -1, 2, 1, 0] bfd -2.7 0.78102 [-3, -2, -4, -2, -3, -2, -3, -2, -4, -2] bfe -2.6 1.35647 [-3, -3, -4, -2, -3, -2, 1, -3, -4, -3] bff 2.9 0.83066 [3, 3, 4, 2, 4, 2, 2, 3, 4, 2] bffn 1.0 0.89443 [2, 1, -1, 1, 0, 1, 2, 1, 2, 1] bl 2.3 1.1 [2, 1, 4, 1, 2, 2, 4, 3, 1, 3] bsod -2.2 1.07703 [-1, -4, -3, -3, 0, -2, -3, -2, -2, -2] btd -2.1 0.83066 [-1, -2, -3, -3, -3, -1, -3, -2, -1, -2] btdt -0.1 1.22066 [0, -1, 0, -1, 0, 3, 1, -1, -1, -1] bz 0.4 1.35647 [-1, 0, 0, 0, 4, 1, -1, 1, 0, 0] b^d 2.6 0.8 [3, 2, 2, 4, 3, 1, 3, 3, 3, 2] cwot -2.3 0.45826 [-3, -2, -2, -2, -2, -3, -2, -3, -2, -2] d-': -2.5 0.67082 [-3, -3, -2, -2, -2, -4, -2, -3, -2, -2] d8 -3.2 0.6 [-3, -3, -3, -3, -4, -4, -2, -3, -3, -4] d: -2.9 0.83066 [-3, -3, -3, -3, -2, -4, -1, -3, -3, -4] d:< -3.2 0.9798 [-4, -4, -4, -1, -3, -3, -4, -2, -3, -4] d; -2.9 0.83066 [-1, -3, -3, -3, -3, -4, -2, -3, -3, -4] d= -3.0 0.89443 [-4, -3, -3, -3, -2, -4, -1, -3, -3, -4] doa -2.3 1.00499 [-2, -3, -3, -2, -2, -2, -4, 0, -2, -3] dx -3.0 0.63246 [-3, -2, -3, -3, -4, -3, -4, -2, -3, -3] ez 1.5 0.67082 [3, 2, 2, 1, 1, 1, 2, 1, 1, 1] fav 2.4 0.91652 [3, 1, 3, 2, 2, 3, 1, 2, 3, 4] fcol -1.8 0.74833 [-2, -2, -1, -2, -1, -2, -1, -3, -3, -1] ff 1.8 1.249 [4, 2, 1, 2, 1, 3, 3, 0, 2, 0] ffs -2.8 0.9798 [-2, -2, -3, -3, -2, -4, -4, -4, -1, -3] fkm -2.4 1.35647 [-4, -1, -4, -2, -2, -3, -1, 0, -3, -4] foaf 1.8 1.249 [2, 1, 2, 0, 4, 1, 1, 1, 2, 4] ftw 2.0 0.7746 [2, 1, 1, 2, 2, 2, 3, 3, 1, 3] fu -3.7 0.45826 [-3, -4, -4, -3, -3, -4, -4, -4, -4, -4] fubar -3.0 1.09545 [-4, -3, -3, -4, -3, -3, -3, -4, 0, -3] fwb 2.5 1.43178 [2, 3, 4, 0, 1, 2, 4, 1, 4, 4] fyi 0.8 1.66132 [0, 1, 0, -1, 0, 0, 4, 4, 0, 0] fysa 0.4 0.91652 [0, 0, 0, 1, 0, 3, 0, 0, 0, 0] g1 1.4 0.4899 [2, 1, 1, 1, 2, 1, 2, 1, 1, 2] gg 1.2 0.74833 [0, 2, 2, 1, 0, 1, 2, 2, 1, 1] gga 1.7 0.45826 [2, 2, 1, 2, 2, 1, 2, 2, 1, 2] gigo -0.6 1.11355 [-2, -1, 1, 0, 0, 0, -1, -2, -2, 1] gj 2.0 1.0 [2, 1, 2, 1, 1, 3, 4, 2, 3, 1] gl 1.3 0.64031 [1, 1, 1, 1, 3, 1, 1, 2, 1, 1] gla 2.5 0.92195 [1, 2, 2, 4, 2, 4, 2, 3, 3, 2] gn 1.2 0.74833 [1, 1, 1, 1, 3, 1, 1, 2, 1, 0] gr8 2.7 0.78102 [1, 3, 3, 4, 3, 2, 3, 2, 3, 3] grrr -0.4 1.42829 [-2, -1, 0, 1, -2, -1, -1, 3, 0, -1] gt 1.1 0.53852 [1, 1, 1, 1, 1, 1, 2, 1, 0, 2] h&k 2.3 0.78102 [2, 2, 2, 3, 4, 2, 3, 2, 1, 2] hagd 2.2 0.87178 [2, 2, 3, 2, 1, 3, 4, 1, 2, 2] hagn 2.2 0.87178 [2, 2, 3, 2, 1, 3, 4, 1, 2, 2] hago 1.2 0.4 [1, 2, 1, 1, 1, 2, 1, 1, 1, 1] hak 1.9 0.7 [3, 1, 2, 2, 1, 2, 3, 2, 1, 2] ma 2.2 0.87178 [2, 2, 1, 3, 2, 3, 4, 1, 2, 2] mans 2.2 0.87178 [2, 2, 1, 3, 2, 3, 4, 1, 2, 2] hho1/2k 1.4 1.11355 [1, -1, 2, 3, 1, 1, 1, 2, 3, 1] hhoj 2.0 1.09545 [4, 2, 1, 1, 2, 1, 1, 4, 2, 2] hhok 0.9 0.9434 [1, 2, 1, 0, -1, 0, 2, 1, 1, 2] hugz 2.0 0.7746 [2, 3, 1, 3, 1, 3, 1, 2, 2, 2] hi5 1.9 0.53852 [2, 2, 2, 1, 3, 2, 1, 2, 2, 2] idk -0.4 0.66332 [0, 0, 0, 0, -1, -2, 0, 0, 0, -1] ijs 0.7 1.84662 [0, -1, 0, -1, 0, 4, 0, 4, -1, 2] ilu 3.4 0.66332 [3, 4, 3, 4, 2, 3, 4, 3, 4, 4] iluaaf 2.7 1.1 [3, 3, 3, 2, 3, 0, 4, 3, 2, 4] ily 3.4 0.66332 [3, 4, 3, 4, 2, 3, 4, 3, 4, 4] ily2 2.6 0.66332 [3, 2, 3, 2, 3, 2, 3, 4, 2, 2] iou 0.7 1.34536 [0, 0, -1, 2, 0, 0, 0, 4, 1, 1] iyq 2.3 1.18743 [3, 3, 1, 1, 2, 1, 4, 4, 3, 1] j/j 2.0 1.34164 [4, 1, 1, 1, 1, 4, 4, 1, 2, 1] j/k 1.6 1.2 [1, 2, 1, 3, 0, 0, 2, 2, 1, 4] j/p 1.4 0.66332 [1, 1, 0, 2, 1, 2, 2, 2, 1, 2] j/t -0.2 1.46969 [1, -1, -1, -2, 1, 1, 2, -2, 1, -2] j/w 1.0 1.0 [1, 1, 1, 3, 0, 0, 0, 2, 0, 2] j4f 1.4 0.8 [2, 1, 1, 0, 3, 1, 1, 1, 2, 2] j4g 1.7 1.18743 [1, 4, 1, 1, 3, 1, 3, 0, 2, 1] jho 0.8 0.4 [1, 1, 1, 1, 0, 1, 1, 1, 0, 1] jhomf 1.0 0.63246 [1, 1, 1, 0, 1, 0, 2, 2, 1, 1] jj 1.0 0.63246 [1, 1, 1, 1, 2, 0, 2, 1, 1, 0] jk 0.9 1.22066 [1, 0, 0, 1, 0, 0, 2, 1, 4, 0] jp 0.8 0.74833 [1, 1, 1, 0, 2, 0, 2, 0, 1, 0] jt 0.9 0.83066 [1, 1, 0, 2, 2, 0, 2, 0, 1, 0] jw 1.6 1.68523 [3, 0, 0, 0, 0, 0, 3, 4, 2, 4] jealz -1.2 0.9798 [-1, -1, -1, 1, -2, -2, -1, -3, -1, -1] k4y 2.3 1.00499 [2, 1, 1, 2, 4, 2, 3, 4, 2, 2] kfy 2.3 0.64031 [2, 2, 2, 1, 3, 2, 3, 3, 2, 3] kia -3.2 0.6 [-3, -3, -3, -4, -3, -2, -3, -3, -4, -4] kk 1.5 1.0247 [2, 1, 0, 0, 1, 2, 3, 3, 2, 1] kmuf 2.2 1.4 [2, 2, 2, 3, 4, 3, -1, 1, 4, 2] l 2.0 0.7746 [2, 1, 2, 3, 2, 3, 1, 3, 2, 1] l&r 2.2 0.74833 [3, 2, 2, 3, 1, 3, 1, 3, 2, 2] laoj 1.3 1.73494 [1, -2, -1, 3, 3, 2, 4, 1, 1, 1] lmao 2.0 1.18322 [3, 0, 3, 0, 3, 1, 3, 2, 3, 2] lmbao 1.8 1.77764 [3, 2, 2, 2, 1, 3, -3, 2, 4, 2] lmfao 2.5 1.28452 [3, 2, 3, 3, 3, -1, 4, 2, 3, 2] lmso 2.7 0.78102 [3, 3, 4, 3, 3, 1, 3, 3, 2, 2] lol 2.9 0.83066 [4, 2, 2, 2, 4, 2, 3, 3, 4, 3] lolz 2.7 0.78102 [2, 3, 3, 2, 2, 4, 4, 3, 2, 2] lts 1.6 0.66332 [1, 1, 2, 2, 1, 3, 1, 1, 2, 2] ly 2.6 0.91652 [2, 2, 1, 3, 4, 4, 3, 2, 2, 3] ly4e 2.7 0.78102 [3, 3, 3, 2, 1, 3, 3, 4, 2, 3] lya 3.3 0.78102 [3, 4, 4, 4, 2, 2, 3, 4, 3, 4] lyb 3.0 0.63246 [3, 3, 4, 3, 2, 3, 2, 4, 3, 3] lyl 3.1 0.7 [4, 3, 4, 3, 2, 3, 3, 2, 4, 3] lylab 2.7 0.78102 [3, 3, 3, 1, 3, 4, 2, 2, 3, 3] lylas 2.6 0.8 [3, 3, 3, 1, 3, 4, 2, 2, 2, 3] lylb 1.6 1.56205 [2, 2, 3, -2, 4, 1, 3, 1, 1, 1] m8 1.4 1.0198 [3, 0, 1, 0, 1, 3, 2, 2, 1, 1] mia -1.2 0.4 [-2, -1, -1, -2, -1, -1, -1, -1, -1, -1] mml 2.0 1.0 [1, 1, 2, 3, 3, 2, 1, 2, 4, 1] mofo -2.4 2.2 [-4, -4, -4, 0, -3, -2, -2, -4, 3, -4] muah 2.8 1.07703 [1, 2, 4, 4, 4, 2, 4, 2, 2, 3] mubar -1.0 2.36643 [-4, -2, -3, -2, -2, -2, 1, 4, 2, -2] musm 0.9 2.07123 [-1, 1, 1, 1, 4, 3, 1, -4, 1, 2] mwah 2.5 0.80623 [2, 2, 2, 4, 2, 3, 2, 2, 4, 2] n1 1.9 1.04403 [1, 1, 3, 2, 2, 3, 4, 1, 1, 1] nbd 1.3 1.34536 [2, 1, 0, 0, 0, 4, 2, 0, 3, 1] nbif -0.5 0.67082 [-1, -2, 0, 0, 0, 0, -1, -1, 0, 0] nfc -2.7 0.9 [-3, -2, -2, -3, -1, -2, -4, -3, -4, -3] nfw -2.4 1.0198 [-2, -2, -1, -3, -1, -2, -4, -3, -4, -2] nh 2.2 0.6 [2, 2, 2, 2, 1, 3, 3, 3, 2, 2] nimby -0.8 0.6 [0, 0, -1, 0, -1, -2, -1, -1, -1, -1] nimjd -0.7 0.78102 [0, -2, -1, -2, 0, -1, 0, 0, 0, -1] nimq -0.2 0.6 [0, 0, 0, 0, 0, 0, 0, 0, -2, 0] nimy -1.4 1.68523 [-1, -2, -3, -2, -1, 2, -3, 0, 0, -4] nitl -1.5 0.92195 [-1, -1, -2, -3, -1, -3, -1, -2, 0, -1] nme -2.1 1.13578 [-1, -2, -2, -1, -4, -2, -3, -3, 0, -3] noyb -0.7 1.67631 [-1, -2, 0, -1, -1, -2, -2, -1, 4, -1] np 1.4 1.0198 [0, 1, 1, 1, 1, 2, 2, 4, 1, 1] ntmu 1.4 0.66332 [1, 1, 0, 1, 2, 2, 2, 2, 2, 1] o-8 -0.5 1.5 [2, -1, 0, 0, -2, -2, 0, -2, 2, -2] o-: -0.3 1.18743 [2, -1, 0, 0, -1, -2, 0, -2, 1, 0] o-| -1.1 0.53852 [-1, -1, -1, 0, -1, -1, -1, -2, -2, -1] o.o -0.6 0.8 [-1, -1, -2, 0, 1, 0, -1, 0, -1, -1] O.o -0.6 0.8 [-1, -1, -2, 0, 1, 0, -1, 0, -1, -1] o.O -0.6 0.8 [-1, -1, -2, 0, 1, 0, -1, 0, -1, -1] o: -0.2 0.87178 [-1, 0, -1, -2, 0, 1, 0, 1, 0, 0] o:) 1.5 0.67082 [3, 1, 1, 2, 2, 2, 1, 1, 1, 1] o:-) 2.0 1.18322 [1, 4, 1, 2, 4, 1, 1, 2, 3, 1] o:-3 2.2 0.9798 [1, 4, 2, 3, 3, 2, 1, 2, 3, 1] o:3 2.3 0.78102 [3, 3, 2, 2, 1, 2, 4, 2, 2, 2] o:< -0.3 1.1 [-1, -1, -2, 0, -1, 0, 1, 2, 0, -1] o;^) 1.6 0.8 [1, 2, 1, 2, 1, 2, 2, 0, 3, 2] ok 1.6 1.42829 [0, 0, 1, 1, 1, 4, 3, 4, 1, 1] o_o -0.5 0.92195 [0, -1, 0, -2, -2, 0, -1, 1, 0, 0] O_o -0.5 0.92195 [0, -1, 0, -2, -2, 0, -1, 1, 0, 0] o_O -0.5 0.92195 [0, -1, 0, -2, -2, 0, -1, 1, 0, 0] pita -2.4 1.2 [-2, -1, -1, -4, -4, -2, -4, -2, -3, -1] pls 0.3 0.45826 [0, 1, 1, 1, 0, 0, 0, 0, 0, 0] plz 0.3 0.45826 [0, 1, 1, 1, 0, 0, 0, 0, 0, 0] pmbi 0.8 1.32665 [3, 0, 0, 1, 1, -2, 2, 2, 0, 1] pmfji 0.3 0.78102 [0, 0, 1, 0, 2, -1, 0, 1, 0, 0] pmji 0.7 1.00499 [1, 2, 0, -1, 0, 0, 2, 2, 1, 0] po -2.6 0.91652 [-2, -3, -4, -3, -3, -3, -1, -3, -1, -3] ptl 2.6 1.11355 [3, 4, 2, 4, 1, 2, 3, 1, 4, 2] pu -1.1 1.3 [-3, -1, -3, -2, -1, -1, -1, -1, 1, 1] qq -2.2 0.6 [-2, -2, -1, -3, -3, -2, -2, -3, -2, -2] qt 1.8 0.6 [2, 2, 1, 2, 1, 3, 2, 1, 2, 2] r&r 2.4 1.0198 [2, 4, 2, 3, 1, 4, 2, 2, 1, 3] rofl 2.7 0.78102 [3, 2, 2, 2, 4, 4, 2, 3, 3, 2] roflmao 2.5 1.11803 [4, 2, 2, 4, 1, 1, 2, 4, 3, 2] rotfl 2.6 0.66332 [3, 2, 3, 3, 1, 3, 3, 3, 2, 3] rotflmao 2.8 1.07703 [4, 3, 2, 4, 1, 1, 4, 3, 3, 3] rotflmfao 2.5 1.11803 [3, 4, 1, 3, 3, 3, 0, 3, 2, 3] rotflol 3.0 1.09545 [1, 4, 4, 4, 2, 2, 2, 3, 4, 4] rotgl 2.9 0.7 [4, 3, 2, 2, 3, 3, 3, 2, 4, 3] rotglmao 1.8 2.4 [3, 3, 4, 3, -1, 1, 4, -4, 2, 3] s: -1.1 0.83066 [-1, -1, -2, -2, -1, -1, -2, -1, 1, -1] sapfu -1.1 1.57797 [-2, 0, -3, -1, -1, 1, -2, 2, -2, -3] sete 2.8 0.87178 [3, 3, 3, 2, 3, 3, 4, 4, 1, 2] sfete 2.7 0.78102 [4, 3, 3, 3, 2, 4, 2, 2, 2, 2] sgtm 2.4 1.0198 [2, 1, 1, 2, 3, 3, 2, 2, 4, 4] slap 0.6 2.15407 [2, -1, 1, -1, 0, 4, -3, 4, 1, -1] slaw 2.1 1.04403 [3, 2, 0, 2, 2, 2, 3, 1, 4, 2] smh -1.3 0.64031 [-2, -1, 0, -1, -1, -2, -2, -1, -2, -1] snafu -2.5 1.11803 [-3, -4, -3, -3, -1, 0, -2, -3, -3, -3] sob -2.8 0.9798 [-3, -4, -3, -2, -2, -1, -2, -4, -4, -3] swak 2.3 1.00499 [2, 2, 2, 1, 4, 2, 3, 2, 1, 4] tgif 2.3 1.34536 [1, 3, 3, 3, -1, 2, 4, 2, 3, 3] grcs 1.4 0.4899 [1, 2, 1, 2, 1, 2, 1, 1, 2, 1] gracies 1.5 0.92195 [0, 1, 3, 2, 1, 2, 1, 1, 3, 1] tia 2.3 0.9 [3, 1, 2, 1, 4, 3, 2, 3, 2, 2] tmi -0.3 1.61555 [-1, -1, 2, -1, 1, -2, -2, -1, 3, -1] tnx 1.1 0.53852 [2, 1, 1, 0, 1, 1, 2, 1, 1, 1] veritat 1.8 1.32665 [2, 1, 1, 0, 1, 4, 3, 1, 4, 1] tx 1.5 0.92195 [3, 2, 1, 0, 2, 1, 3, 1, 1, 1] grcs 1.1 0.7 [1, 2, 0, 1, 2, 0, 1, 2, 1, 1] ty 1.6 0.66332 [1, 2, 3, 1, 2, 2, 1, 2, 1, 1] tyvm 2.5 1.11803 [2, 2, 1, 3, 1, 4, 2, 4, 2, 4] urw 1.9 1.13578 [1, 2, 1, 2, 4, 2, 4, 1, 1, 1] vbg 2.1 1.75784 [2, 3, 3, 3, 3, -3, 3, 2, 2, 3] vbs 3.1 0.53852 [2, 3, 3, 3, 4, 4, 3, 3, 3, 3] vip 2.3 1.00499 [2, 1, 1, 3, 4, 2, 2, 4, 2, 2] vwd 2.6 0.91652 [4, 2, 4, 2, 1, 3, 3, 2, 3, 2] vwp 2.1 0.7 [3, 1, 2, 2, 3, 2, 2, 3, 1, 2] wag -0.2 0.74833 [-1, 0, 0, 0, 0, 0, -2, 1, 0, 0] wd 2.7 1.1 [3, 1, 4, 3, 4, 2, 1, 3, 2, 4] wilco 0.9 0.9434 [1, 3, 1, 0, 1, 0, 2, 1, 0, 0] wp 1.0 0.0 [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] wtf -2.8 0.74833 [-4, -3, -2, -3, -2, -2, -2, -4, -3, -3] wtg 2.1 0.7 [1, 3, 2, 3, 2, 2, 2, 1, 2, 3] wth -2.4 0.4899 [-2, -3, -2, -3, -2, -2, -2, -3, -3, -2] x-d 2.7 0.78102 [1, 3, 4, 2, 3, 3, 3, 2, 3, 3] x-p 1.8 0.87178 [2, 1, 3, 1, 3, 1, 3, 1, 2, 1] xd 2.7 0.9 [1, 4, 4, 3, 2, 2, 3, 3, 2, 3] 😂 2.7 0.9 [1, 4, 4, 3, 2, 2, 3, 3, 2, 3] xlnt 3.0 0.89443 [4, 3, 3, 1, 4, 4, 3, 3, 3, 2] xoxo 3.0 0.7746 [2, 2, 4, 2, 3, 3, 4, 3, 3, 4] xoxozzz 2.3 0.78102 [3, 1, 2, 2, 2, 2, 3, 2, 4, 2] xp 1.2 0.4 [1, 1, 1, 1, 2, 1, 2, 1, 1, 1] xqzt 1.6 1.42829 [0, 2, 1, 2, 4, -1, 3, 1, 1, 3] xtc 0.8 1.93907 [2, 0, -3, 3, 3, -1, 3, 1, -1, 1] yolo 1.1 0.83066 [0, 1, 1, 2, 1, 1, 1, 3, 0, 1] yoyo 0.4 1.85472 [-1, 0, -1, -1, 4, 2, -2, 2, 2, -1] yvw 1.6 0.4899 [1, 2, 1, 1, 2, 2, 2, 1, 2, 2] yw 1.8 1.32665 [1, 1, 1, 4, 1, 1, 4, 0, 3, 2] ywia 2.5 1.11803 [3, 2, 3, 4, 1, 1, 1, 3, 3, 4] zzz -1.2 0.87178 [0, -1, 0, -1, -3, -1, -1, -2, -2, -1] [-; 0.5 1.28452 [1, -1, -1, 1, 1, 1, 2, -2, 2, 1] [: 1.3 0.45826 [1, 1, 2, 1, 2, 2, 1, 1, 1, 1] [; 1.0 1.34164 [2, 1, 2, 2, 1, 2, 2, -2, -1, 1] [= 1.7 0.64031 [2, 2, 1, 1, 1, 2, 2, 3, 2, 1] \-: -1.0 1.18322 [-3, -1, -1, -1, -1, -1, 2, -2, -1, -1] \: -1.0 0.0 [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1] \:< -1.7 1.18743 [-1, -3, -2, -2, -3, -3, -2, -1, 1, -1] \= -1.1 0.3 [-1, -1, -1, -1, -1, -1, -1, -2, -1, -1] \^: -1.3 0.45826 [-1, -1, -1, -2, -1, -1, -1, -2, -2, -1] \o/ 2.2 0.9798 [2, 1, 1, 2, 4, 2, 2, 4, 2, 2] \o: -1.2 0.4 [-1, -1, -1, -1, -2, -1, -1, -2, -1, -1] ]-: -2.1 0.53852 [-2, -3, -3, -2, -2, -2, -1, -2, -2, -2] ]: -1.6 0.66332 [-1, -2, -1, -2, -3, -2, -1, -1, -1, -2] ]:< -2.5 0.80623 [-2, -2, -2, -3, -4, -2, -2, -2, -2, -4] ^<_< 1.4 1.11355 [3, 1, 3, 2, 1, 1, 1, -1, 2, 1] ^urs -2.8 0.6 [-2, -3, -3, -2, -3, -3, -2, -3, -4, -3] abando -1.9 0.53852 [-1, -2, -2, -2, -2, -3, -2, -2, -1, -2] abandonat -2.0 1.09545 [-1, -1, -3, -2, -1, -4, -1, -3, -3, -1] deixar -1.9 0.83066 [-1, -1, -3, -2, -1, -3, -1, -2, -3, -2] deixadors -1.9 0.83066 [-2, -3, -2, -3, -2, -1, -2, -2, 0, -2] abandonant -1.6 0.8 [-3, -2, -3, -2, -1, -1, -1, -1, -1, -1] abandonament -2.4 1.0198 [-4, -2, -1, -4, -2, -1, -2, -3, -3, -2] abandonaments -1.7 0.45826 [-2, -1, -2, -2, -1, -2, -1, -2, -2, -2] abandons -1.3 0.9 [-2, -1, -1, -2, -1, -2, -1, -2, 1, -2] abduït -2.3 1.18743 [-3, -1, 0, -3, -1, -3, -4, -2, -3, -3] abducció -2.8 0.87178 [-4, -3, -3, -4, -1, -3, -2, -2, -3, -3] abduccions -2.0 1.41421 [-3, -4, -1, -3, -1, -3, 1, -2, -1, -3] odiar -2.0 1.09545 [-3, -3, -1, -1, -2, -1, -3, -3, 0, -3] odiat -2.4 1.49666 [-4, -4, 0, -3, -2, -1, -4, -3, -3, 0] abominable -3.1 1.3 [-4, -4, -4, -2, 0, -4, -2, -3, -4, -4] avorrir -2.9 1.51327 [0, -4, -3, -3, -4, -4, 0, -4, -3, -4] habilitats 1.0 0.63246 [1, 2, 0, 1, 0, 1, 1, 1, 1, 2] habilitat 1.3 0.64031 [1, 1, 1, 0, 1, 2, 2, 2, 2, 1] bord 0.1 0.3 [0, 0, 0, 0, 1, 0, 0, 0, 0, 0] absent -1.1 0.53852 [-1, -1, 0, -2, -1, -1, -2, -1, -1, -1] absents -0.8 0.6 [-1, 0, 0, -1, -1, 0, -2, -1, -1, -1] absolt 1.2 1.46969 [2, -3, 2, 2, 1, 1, 2, 1, 2, 2] absolts 1.5 0.92195 [3, 1, 2, 1, 0, 2, 3, 1, 1, 1] absol 1.3 1.00499 [3, 1, 1, 0, 0, 2, 3, 1, 1, 1] absolvent 1.6 0.8 [3, 1, 2, 1, 1, 2, 3, 1, 1, 1] abus -3.2 0.6 [-4, -2, -3, -4, -3, -4, -3, -3, -3, -3] abusat -2.3 0.64031 [-2, -2, -3, -2, -2, -4, -2, -2, -2, -2] abusada -2.3 0.64031 [-2, -2, -3, -2, -2, -4, -2, -2, -2, -2] abusó -2.6 0.4899 [-3, -2, -3, -3, -2, -3, -2, -2, -3, -3] abussadors -2.6 1.0198 [-2, -3, -3, -3, -3, -2, -3, -4, -3, 0] abus -2.6 0.66332 [-3, -2, -3, -3, -3, -3, -1, -2, -3, -3] abussant -2.0 1.41421 [-1, -2, -2, -4, -4, -2, -3, -1, 1, -2] agressiu -3.2 0.74833 [-4, -3, -3, -4, -4, -3, -4, -2, -3, -2] agressivament -2.8 0.6 [-3, -4, -3, -2, -3, -2, -2, -3, -3, -3] agressivitat -2.5 0.92195 [-2, -4, -2, -3, -2, -3, -4, -2, -1, -2] agressius -3.0 0.63246 [-3, -3, -4, -3, -4, -2, -2, -3, -3, -3] agressives -3.0 0.63246 [-3, -3, -4, -3, -4, -2, -2, -3, -3, -3] accepte 1.6 0.91652 [2, 1, 2, 1, 1, 2, 4, 1, 1, 1] acceptacions 1.6 0.66332 [0, 2, 2, 2, 1, 2, 2, 2, 1, 2] acceptabilitat 1.1 0.53852 [1, 0, 1, 2, 1, 2, 1, 1, 1, 1] acceptable 1.3 0.45826 [1, 2, 1, 1, 1, 2, 1, 1, 2, 1] acceptable 1.3 0.9 [1, 0, 2, 1, 2, 1, 1, 0, 2, 3] acceptablement 1.5 0.67082 [3, 2, 1, 1, 1, 2, 1, 1, 2, 1] acceptacio 2.0 0.63246 [3, 1, 3, 2, 1, 2, 2, 2, 2, 2] acceptacions 1.7 0.78102 [3, 1, 1, 1, 2, 2, 1, 2, 3, 1] acceptant 1.6 0.8 [0, 1, 2, 2, 2, 1, 2, 1, 3, 2] acceptacio 1.3 0.78102 [0, 1, 2, 1, 1, 1, 1, 3, 2, 1] acceptacions 0.9 0.83066 [1, 2, 0, 2, 0, 1, 0, 2, 1, 0] acceptat 1.1 0.3 [1, 1, 1, 1, 1, 2, 1, 1, 1, 1] acceptant 1.6 0.66332 [2, 2, 2, 1, 1, 2, 1, 3, 1, 1] accepta 1.3 0.45826 [1, 2, 1, 1, 1, 2, 2, 1, 1, 1] accident -2.1 0.83066 [-2, -2, -1, -3, -4, -2, -2, -1, -2, -2] accidental -0.3 0.45826 [-1, -1, 0, 0, 0, 0, 0, 0, -1, 0] accidentalment -1.4 0.91652 [-2, 0, -2, 0, -3, -1, -1, -1, -2, -2] accident -1.3 0.78102 [-1, -1, -1, -1, -2, 0, -3, -1, -2, -1] accidents -1.3 0.78102 [-1, -1, -1, -1, -2, 0, -3, -1, -2, -1] complir 1.8 0.6 [1, 2, 3, 2, 2, 2, 1, 1, 2, 2] compliment 1.9 0.53852 [2, 2, 2, 1, 2, 2, 3, 1, 2, 2] acompleix 1.7 0.9 [2, 2, 1, 0, 2, 3, 3, 1, 1, 2] acusació -1.0 1.09545 [-1, -1, -2, -2, -2, -1, -1, -1, 2, -1] acusacions -1.3 1.26886 [-2, -2, -1, -3, -2, -1, -1, 2, -2, -1] acuse -0.8 1.53623 [-3, -1, -1, -2, 1, -2, 1, -2, 2, -1] acusat -1.2 1.46969 [-2, -1, -2, 2, -2, -3, -2, -2, -1, 1] acuses -1.4 1.0198 [-2, -1, -2, 1, -2, -3, -1, -2, -1, -1] acusador -0.7 1.34536 [-2, -1, -1, 1, -3, -1, -1, 2, -1, 0] dolor -1.6 1.2 [-1, -2, -2, -2, -1, -4, -1, 1, -2, -2] mal -1.6 1.2 [-1, -2, -2, -2, -1, -4, -1, 1, -2, -2] dolorit -1.6 0.8 [-2, -2, -1, -2, -1, -2, -3, 0, -1, -2] dolorida -1.6 0.8 [-2, -2, -1, -2, -1, -2, -3, 0, -1, -2] dolors -1.0 0.7746 [-1, -2, -1, -1, -1, 1, -2, -1, -1, -1] dolorit -1.0 0.7746 [-1, -2, -1, -1, -1, 1, -2, -1, -1, -1] dolorida -1.0 0.7746 [-1, -2, -1, -1, -1, 1, -2, -1, -1, -1] assequible 1.3 0.45826 [2, 1, 1, 1, 1, 1, 1, 2, 2, 1] assolible 1.3 0.45826 [2, 1, 1, 1, 1, 1, 1, 2, 2, 1] dolorit -2.2 0.74833 [-2, -3, -2, -1, -3, -3, -2, -3, -1, -2] dolorida -2.2 0.74833 [-2, -3, -2, -1, -3, -3, -2, -3, -1, -2] acord 0.8 1.72047 [-3, 3, -1, 3, 2, 1, 1, 1, 0, 1] acords 0.1 1.37477 [1, -3, -1, 0, 2, 0, -1, 1, 1, 1] acordem 1.0 0.89443 [2, 2, 1, 1, 2, 0, 1, 1, -1, 1] absoldre 1.3 0.78102 [3, 2, 0, 1, 1, 1, 2, 1, 1, 1] perdonar 1.3 0.78102 [3, 2, 0, 1, 1, 1, 2, 1, 1, 1] caustic -1.7 1.73494 [-1, -3, -2, -3, 3, -3, -1, -2, -2, -3] corrosiu -1.7 1.73494 [-1, -3, -2, -3, 3, -3, -1, -2, -2, -3] agre -1.7 1.73494 [-1, -3, -2, -3, 3, -3, -1, -2, -2, -3] actiu 1.7 1.26886 [1, 2, 1, 1, 1, 4, 2, 4, 0, 1] activament 1.3 0.78102 [0, 1, 0, 2, 2, 1, 1, 2, 2, 2] activeness 0.6 0.8 [0, 2, 0, 0, 1, 0, 1, 0, 2, 0] activenesses 0.8 0.74833 [2, 0, 1, 0, 0, 0, 1, 2, 1, 1] actives 1.1 0.7 [2, 1, 0, 1, 1, 0, 1, 1, 2, 2] adequat 0.9 0.7 [0, 0, 1, 1, 0, 2, 1, 1, 2, 1] admirability 2.4 0.4899 [2, 3, 3, 3, 3, 2, 2, 2, 2, 2] admirable 2.6 0.66332 [2, 3, 3, 3, 4, 3, 2, 2, 2, 2] admirableness 2.2 0.87178 [2, 2, 3, 3, 3, 1, 3, 1, 3, 1] admirablement 2.5 0.67082 [2, 3, 3, 3, 4, 2, 2, 2, 2, 2] admirall 1.3 1.18743 [0, 0, 1, 3, 3, 2, 2, 0, 2, 0] admiralls 1.5 0.80623 [2, 2, 0, 2, 2, 0, 1, 2, 2, 2] admiralties 1.6 0.66332 [2, 2, 2, 1, 0, 2, 2, 2, 1, 2] admiralty 1.2 1.53623 [0, 4, 0, 0, 0, 2, 2, 3, 2, -1] admiració 2.5 0.80623 [3, 1, 1, 3, 3, 2, 3, 3, 3, 3] admiracions 1.6 0.66332 [2, 2, 1, 1, 2, 2, 2, 2, 2, 0] admire 2.1 0.83066 [3, 3, 1, 3, 3, 2, 1, 2, 1, 2] admira 2.1 0.83066 [3, 3, 1, 3, 3, 2, 1, 2, 1, 2] admirat 2.3 0.78102 [4, 2, 2, 2, 2, 2, 3, 3, 1, 2] admirador 1.8 0.74833 [2, 1, 1, 2, 3, 2, 3, 1, 1, 2] admiradora 1.8 0.74833 [2, 1, 1, 2, 3, 2, 3, 1, 1, 2] admiradors 1.7 1.00499 [2, 3, 2, 2, 2, 1, -1, 2, 2, 2] admiradores 1.7 1.00499 [2, 3, 2, 2, 2, 1, -1, 2, 2, 2] admires 1.5 0.67082 [3, 1, 1, 2, 1, 2, 2, 1, 1, 1] admirant 1.6 0.8 [1, 2, 1, 1, 3, 3, 2, 1, 1, 1] admirablement 2.3 0.64031 [1, 3, 3, 2, 2, 2, 2, 3, 3, 2] admetre 0.8 1.07703 [0, 0, 0, 0, 0, 1, 3, 2, 2, 0] admiteix 1.2 0.87178 [1, 2, 2, 2, 0, 0, 1, 2, 0, 2] admés 0.4 0.66332 [0, 1, 0, 1, 0, 0, 2, 0, 0, 0] amonestat -1.9 0.9434 [-2, -2, -2, -1, -2, -3, -1, -1, -1, -4] adoptar 0.7 0.64031 [0, 0, 1, 1, 1, 0, 1, 0, 1, 2] adoptess 0.7 0.64031 [0, 0, 1, 2, 1, 0, 1, 1, 0, 1] adorable 2.2 0.74833 [2, 2, 2, 2, 1, 2, 3, 2, 4, 2] adorable 2.2 0.6 [3, 2, 2, 3, 2, 2, 1, 3, 2, 2] adorabilitat 2.5 0.67082 [2, 3, 3, 2, 3, 2, 1, 3, 3, 3] adorablement 2.1 0.7 [3, 1, 2, 3, 2, 2, 1, 3, 2, 2] adoració 2.9 0.7 [3, 3, 3, 2, 3, 3, 4, 2, 4, 2] adoracions 2.2 0.87178 [2, 2, 3, 1, 3, 1, 3, 3, 1, 3] adore 2.6 0.91652 [3, 3, 1, 2, 3, 3, 3, 4, 1, 3] adorat 1.8 0.87178 [2, 3, 3, 2, 2, 1, 1, 0, 2, 2] adorador 1.7 1.1 [2, 4, 3, 1, 2, 1, 1, 0, 2, 1] adoradors 2.1 0.7 [3, 2, 1, 2, 2, 2, 3, 2, 3, 1] adores 1.6 0.66332 [2, 1, 3, 2, 2, 1, 1, 1, 2, 1] adorant 2.6 0.66332 [2, 3, 3, 3, 1, 3, 3, 2, 3, 3] apasionadament 2.4 0.8 [2, 3, 2, 3, 3, 3, 3, 1, 1, 3] decorar 0.9 0.53852 [1, 1, 1, 0, 2, 1, 1, 0, 1, 1] adornat 0.8 1.249 [1, 1, 0, 2, -1, 3, -1, 2, 1, 0] decorar 1.3 0.78102 [1, 1, 1, 2, 1, 3, 1, 2, 1, 0] decoradors 0.9 0.9434 [2, 2, 0, 1, -1, 2, 1, 1, 0, 1] adornar 1.0 0.7746 [0, 0, 1, 1, 1, 2, 2, 1, 0, 2] ornament 1.3 0.78102 [1, 3, 1, 0, 2, 2, 1, 1, 1, 1] embelliment 0.8 1.16619 [2, -1, 0, 0, 2, 1, 2, -1, 1, 2] adorns 0.5 1.56525 [3, -1, 1, 0, 2, -1, 3, -1, 0, -1] avançat 1.0 0.63246 [1, 0, 1, 1, 1, 0, 1, 2, 1, 2] avantatge 1.0 0.63246 [1, 2, 1, 1, 2, 0, 1, 0, 1, 1] avantajat 1.4 0.91652 [1, 0, 3, 0, 1, 1, 2, 2, 2, 2] ventajos 1.5 0.67082 [2, 0, 2, 2, 2, 1, 1, 1, 2, 2] ventajosament 1.9 0.53852 [2, 2, 2, 3, 2, 2, 2, 1, 1, 2] advantageousness 1.6 1.28062 [-2, 2, 3, 1, 2, 2, 2, 2, 2, 2] avantatges 1.5 0.80623 [1, 0, 3, 1, 1, 1, 2, 2, 2, 2] avançant 1.6 0.66332 [3, 1, 1, 2, 1, 1, 2, 2, 2, 1] aventura 1.3 0.45826 [1, 2, 1, 1, 2, 1, 1, 1, 1, 2] aventurat 1.3 0.45826 [1, 2, 1, 2, 1, 2, 1, 1, 1, 1] aventurer 1.2 0.6 [1, 2, 0, 2, 1, 2, 1, 1, 1, 1] aventurers 0.9 0.9434 [0, 1, 0, 1, 0, 1, 0, 1, 3, 2] aventures 1.4 1.2 [2, 2, 1, 2, -2, 2, 2, 1, 2, 2] aventurer 1.7 1.1 [0, 3, 0, 1, 2, 2, 3, 1, 2, 3] intrepid 1.7 1.1 [0, 3, 0, 1, 2, 2, 3, 1, 2, 3] riscos 1.3 1.00499 [1, 0, 0, 2, 3, 2, 2, 0, 1, 2] aventurera 0.8 1.72047 [3, -1, 2, 2, 0, 0, 1, 2, -3, 2] adventuresses 1.4 1.11355 [1, 0, 0, 3, 2, 2, 3, 0, 1, 2] adventuring 2.3 0.78102 [2, 3, 2, 3, 1, 3, 3, 1, 2, 3] adventurism 1.5 0.67082 [1, 0, 2, 2, 2, 2, 1, 1, 2, 2] adventurist 1.4 0.4899 [1, 1, 2, 1, 2, 2, 2, 1, 1, 1] adventuristic 1.7 0.64031 [2, 1, 1, 2, 2, 1, 3, 2, 2, 1] adventurists 1.2 0.9798 [3, 1, 0, 0, 1, 2, 1, 0, 2, 2] aventurer 1.4 1.11355 [0, 1, 2, 1, 2, 0, 3, 2, 3, 0] aventurera 1.4 1.11355 [0, 1, 2, 1, 2, 0, 3, 2, 3, 0] adventurously 1.3 0.9 [0, 1, 2, 2, 1, 2, 1, 1, 0, 3] adventurousness 1.8 0.87178 [0, 1, 3, 2, 1, 3, 2, 2, 2, 2] contrari -1.5 0.92195 [-2, 0, -1, -3, -2, -2, 0, -1, -2, -2] adversaris -1.0 0.63246 [-1, -1, -1, -1, 0, -2, -2, -1, -1, 0] adversari -0.8 1.72047 [-3, -1, -2, -2, -2, 2, 1, -1, 2, -2] adversatiu -1.2 0.74833 [-1, -1, -2, -1, -1, -1, -3, -1, 0, -1] adversativament -0.1 1.37477 [0, -2, -1, 0, -1, -1, 1, 1, 3, -1] rivals -1.0 0.7746 [-1, -1, -2, -1, -2, 1, -1, -1, -1, -1] advers -1.5 0.80623 [-2, -2, -2, -1, -1, 0, -1, -3, -1, -2] adversament -0.8 1.6 [-2, -2, 0, -2, -2, 2, -2, 2, -2, 0] adverseness -0.6 1.35647 [-1, -2, -1, 2, -1, -2, -1, 2, -1, -1] adversities -1.5 0.67082 [-2, -2, -1, -1, -2, 0, -2, -1, -2, -2] adversitat -1.8 0.6 [-3, -2, -1, -2, -2, -2, -1, -1, -2, -2] afectat -0.6 1.35647 [-1, -2, 0, -2, 0, 0, 2, -2, 1, -2] afecte 2.4 0.8 [3, 2, 2, 3, 4, 1, 3, 2, 2, 2] afectiu 1.9 1.04403 [3, 3, 2, 0, 2, 2, 2, 3, 2, 0] afectivament 1.5 0.92195 [1, 1, 3, 1, 1, 0, 2, 2, 3, 1] carinyos 1.9 1.13578 [1, 0, 3, 1, 3, 2, 2, 1, 2, 4] carinyosa 1.9 1.13578 [1, 0, 3, 1, 3, 2, 2, 1, 2, 4] estimat 1.9 1.13578 [1, 0, 3, 1, 3, 2, 2, 1, 2, 4] estimada 1.9 1.13578 [1, 0, 3, 1, 3, 2, 2, 1, 2, 4] afectuosament 2.2 0.87178 [4, 1, 1, 2, 2, 2, 3, 3, 2, 2] afecte 1.8 0.4 [2, 2, 1, 2, 2, 1, 2, 2, 2, 2] desafecte -2.0 0.44721 [-2, -1, -2, -2, -2, -2, -2, -2, -2, -3] aficcions 1.5 1.11803 [-1, 3, 2, 2, 1, 1, 2, 1, 3, 1] afligit -1.5 1.0247 [-1, -2, -3, -2, 1, -1, -1, -2, -2, -2] afligida -1.5 1.0247 [-1, -2, -3, -2, 1, -1, -1, -2, -2, -2] afrontat 0.2 2.03961 [1, -2, 2, -2, -2, 4, 0, 2, 1, -2] fer greu -2.5 0.80623 [-3, -3, -2, -3, -2, -4, -3, -2, -2, -1] empitjorat -1.9 1.04403 [-4, -3, -3, -1, -1, -1, -1, -2, -2, -1] agreujat -1.9 1.04403 [-4, -3, -3, -1, -1, -1, -1, -2, -2, -1] irrita -1.9 0.83066 [-3, -2, -2, -2, -3, -1, -2, -2, 0, -2] irritant -1.2 0.9798 [-2, -2, -1, -2, -2, -1, 0, 1, -1, -2] agredir -1.3 1.55242 [-2, -2, 2, -2, -1, -3, -3, -1, 1, -2] agresit -1.4 0.4899 [-1, -1, -1, -1, -2, -1, -2, -2, -2, -1] agredeix -0.5 1.43178 [-1, -2, -1, -1, -3, 0, -1, 1, 2, 1] agredeixes -0.5 1.43178 [-1, -2, -1, -1, -3, 0, -1, 1, 2, 1] agredint -0.6 1.28062 [-1, -2, -1, 0, -1, -2, 2, -2, 1, 0] agressió -1.2 1.77764 [-2, -2, 1, 1, -4, 2, -2, -2, -2, -2] agressions -1.3 1.48661 [-1, -2, -2, -2, -2, -3, 1, -2, 2, -2] agressiu -0.6 1.28062 [-2, 1, -2, -2, 0, -2, -1, 1, 1, 0] agresivament -1.3 1.55242 [-1, -2, 3, -2, -3, -2, -1, -1, -2, -2] aggressiveness -1.8 0.74833 [-1, -2, -1, -2, -2, -1, -3, -1, -3, -2] aggressivities -1.4 1.28062 [-1, -1, -1, -2, 2, -2, -2, -2, -3, -2] agresivitat -0.6 1.35647 [-3, -1, 1, 0, 0, 0, -3, -1, 1, 0] agresor -0.8 1.32665 [-2, 0, -1, 2, -2, -2, -1, -1, -2, 1] agresors -0.9 1.13578 [-2, -2, -1, -1, -1, 1, 1, 0, -2, -2] horroritzat -1.9 1.04403 [-2, -3, -1, 0, -2, -1, -4, -2, -2, -2] horror -1.9 1.04403 [-2, -3, -1, 0, -2, -1, -4, -2, -2, -2] agitat -1.7 0.64031 [-2, -2, -3, -1, -1, -1, -2, -1, -2, -2] preocupat -2.0 0.63246 [-2, -2, -2, -2, -1, -3, -3, -2, -2, -1] agitadament -1.6 0.8 [-1, -2, -1, -3, -1, -3, -1, -1, -2, -1] preocupadament -1.6 0.8 [-1, -2, -1, -3, -1, -3, -1, -1, -2, -1] preocupa -1.4 0.8 [-2, 0, -1, -2, -1, -1, -3, -1, -2, -1] preocupant -1.8 0.87178 [-2, -1, -1, -1, -2, -3, -1, -3, -3, -1] preocupacio -1.0 1.09545 [-2, -1, 1, -1, -2, -1, -2, -1, 1, -2] agitational -1.2 1.66132 [-3, -3, -2, 1, -1, -2, 0, 2, -1, -3] intranquilitats -1.3 1.18743 [-1, -2, -1, -3, -2, -3, 0, -1, 1, -1] agitative -1.3 1.26886 [-2, -2, -1, -2, -1, -3, 1, -2, 1, -2] agitat -0.1 1.13578 [1, 2, 0, 0, 0, 0, -2, 0, -2, 0] agitador -1.4 0.8 [-1, -1, -1, -2, -1, -1, -2, -3, -2, 0] activista -1.4 0.8 [-1, -1, -1, -2, -1, -1, -2, -3, -2, 0] agitadors -2.1 0.9434 [-2, -3, -3, -2, -2, -1, -3, -2, 0, -3] activistes -2.1 0.9434 [-2, -3, -3, -2, -2, -1, -3, -2, 0, -3] ansios 1.9 0.7 [2, 1, 3, 3, 2, 1, 2, 2, 1, 2] ansiosa 1.9 0.7 [2, 1, 3, 3, 2, 1, 2, 2, 1, 2] agonise -2.1 0.9434 [-3, -3, -2, -3, -1, -3, -1, -3, -1, -1] agonia -2.1 0.9434 [-3, -3, -2, -3, -1, -3, -1, -3, -1, -1] aturmentat -2.3 0.64031 [-2, -3, -3, -2, -2, -2, -2, -3, -1, -3] turmentat -2.3 0.64031 [-2, -3, -3, -2, -2, -2, -2, -3, -1, -3] agonises -2.4 0.91652 [-1, -4, -3, -3, -2, -2, -2, -3, -1, -3] agonising -1.5 1.43178 [-3, -2, -3, -3, -1, 1, 0, 0, -1, -3] agonize -2.3 0.9 [-2, -3, -1, -2, -2, -2, -4, -1, -3, -3] agonized -2.2 1.249 [-2, -3, -3, -3, -3, -2, -1, -3, 1, -3] agonizes -2.3 1.18743 [-1, -3, -4, -3, -3, -2, -1, -3, 0, -3] agonizing -2.7 0.78102 [-3, -2, -2, -2, -4, -3, -3, -2, -4, -2] agonizingly -2.3 1.48661 [-3, -1, -3, -4, -4, -2, -3, 1, -1, -3] patiment -1.8 1.16619 [-3, -1, -2, -4, -2, -1, 0, -3, -1, -1] acord 1.5 1.11803 [1, 0, 3, 1, 2, 1, 4, 1, 1, 1] d'acord 1.5 1.11803 [1, 0, 3, 1, 2, 1, 4, 1, 1, 1] agreeability 1.9 1.04403 [1, 1, 1, 3, 3, 2, 1, 2, 4, 1] agreeable 1.8 0.4 [2, 1, 2, 1, 2, 2, 2, 2, 2, 2] agreeableness 1.8 0.9798 [2, 3, 2, 1, 1, 1, 4, 1, 2, 1] agreeablenesses 1.3 0.45826 [2, 1, 1, 2, 1, 2, 1, 1, 1, 1] agreeably 1.6 0.4899 [1, 1, 2, 1, 1, 2, 2, 2, 2, 2] acordat 1.1 0.53852 [1, 1, 2, 1, 1, 2, 1, 0, 1, 1] decidit 1.1 0.53852 [1, 1, 2, 1, 1, 2, 1, 0, 1, 1] agreeing 1.4 0.4899 [1, 1, 1, 1, 2, 1, 1, 2, 2, 2] acord 2.2 0.74833 [2, 1, 1, 3, 3, 3, 2, 2, 2, 3] acords 1.1 1.13578 [0, 1, 0, 1, 1, 2, 1, 0, 4, 1] agrees 0.8 1.4 [1, 1, 1, 1, 3, 1, -3, 1, 1, 1] alarma -1.4 0.91652 [-1, -1, -2, -2, -2, -2, -1, 1, -2, -2] alarmat -1.4 0.4899 [-2, -1, -2, -2, -1, -1, -1, -2, -1, -1] alarmada -1.4 0.4899 [-2, -1, -2, -2, -1, -1, -1, -2, -1, -1] alarmant -0.5 1.62788 [-1, 1, -1, 1, -3, 1, -2, -3, 1, 1] alarmingly -2.6 0.91652 [-3, -3, -4, -3, -2, -1, -3, -3, -1, -3] alarmisme -0.3 1.26886 [-2, 0, -2, -1, 0, 1, 1, -1, 2, -1] alarmistes -1.1 1.3 [-1, -2, -3, -2, -1, -2, 1, 1, 0, -2] alarmes -1.1 1.04403 [-2, 0, -2, -1, 0, 0, 0, -1, -2, -3] alas -1.1 1.22066 [-1, -2, -1, 0, -1, 0, 1, -3, -1, -3] alerta 1.2 0.87178 [1, 2, 0, 1, 0, 2, 2, 0, 2, 2] alienacio -1.1 1.51327 [-3, -2, -3, -1, -2, -1, 2, -1, 1, -1] alive 1.6 0.8 [1, 1, 2, 3, 3, 2, 1, 1, 1, 1] alergic -1.2 0.4 [-1, -2, -1, -2, -1, -1, -1, -1, -1, -1] permet 0.9 0.83066 [0, 0, 0, 1, 2, 2, 1, 1, 2, 0] soles -1.0 0.63246 [-2, -1, -1, -1, -2, -1, 0, -1, -1, 0] d'acord 1.0 0.7746 [0, 1, 0, 3, 1, 1, 1, 1, 1, 1] sorpresa 2.5 1.0247 [3, 2, 3, 4, 2, 3, 1, 4, 2, 1] sorpres 2.2 1.07703 [1, 0, 3, 2, 2, 4, 3, 3, 2, 2] amazedly 2.1 0.53852 [2, 2, 2, 2, 3, 2, 2, 3, 1, 2] amazement 2.5 0.80623 [3, 3, 2, 4, 1, 2, 2, 3, 2, 3] amazements 2.2 0.87178 [3, 1, 1, 3, 3, 2, 1, 2, 3, 3] amazes 2.2 0.9798 [1, 0, 3, 2, 2, 3, 3, 3, 2, 3] increible 2.8 0.87178 [1, 4, 3, 2, 4, 2, 3, 3, 3, 3] sorprenent 2.8 0.87178 [1, 4, 3, 2, 4, 2, 3, 3, 3, 3] amazon 0.7 0.64031 [0, 1, 1, 0, 1, 0, 1, 0, 1, 2] amazonite 0.2 0.6 [0, 0, 2, 0, 0, 0, 0, 0, 0, 0] amazons -0.1 0.3 [0, 0, 0, 0, 0, 0, 0, 0, -1, 0] amazonstone 1.0 1.61245 [0, 0, 0, 0, 4, 4, 2, 0, 0, 0] amazonstones 0.2 0.6 [0, 0, 0, 0, 0, 0, 0, 0, 2, 0] ambiciòs 2.1 0.53852 [2, 3, 2, 2, 2, 2, 2, 2, 3, 1] ambivalent 0.5 0.92195 [0, 0, -1, 2, 1, 1, 1, -1, 1, 1] amor 3.0 0.63246 [3, 3, 2, 4, 3, 2, 4, 3, 3, 3] amoral -1.6 0.66332 [-1, -2, 0, -2, -2, -2, -2, -2, -1, -2] amoralisme -0.7 1.34536 [-2, -1, -2, 0, 0, -3, 2, 0, -1, 0] amoralismes -0.7 1.00499 [-2, 0, 1, -1, -2, -1, -1, 1, -1, -1] amoralities -1.2 1.6 [-3, 0, 0, -2, 1, -1, 0, -4, -3, 0] amoralitat -1.5 0.92195 [0, -1, -1, -2, -1, -3, -1, -3, -2, -1] amoralment -1.0 1.61245 [-2, 0, 1, -4, -1, 1, 1, -2, -2, -2] amoretti 0.2 0.4 [0, 0, 0, 1, 0, 0, 0, 0, 0, 1] amoretto 0.6 0.8 [0, 1, 0, 1, 0, 0, 2, 0, 0, 2] amorettos 0.3 0.64031 [0, 1, 0, 1, 0, 0, 0, 1, 1, -1] amorino 1.2 0.87178 [2, 1, 1, 0, 3, 1, 1, 0, 1, 2] amorist 1.6 1.0198 [3, 0, 0, 2, 2, 1, 3, 1, 2, 2] amoristic 1.0 1.67332 [1, 0, 2, 3, -1, 3, 1, 3, 0, -2] amorists 0.1 0.9434 [0, 2, 0, 0, 1, 0, -2, 0, 0, 0] amoros 2.3 0.78102 [3, 1, 1, 2, 3, 3, 3, 3, 2, 2] amorosa 2.3 0.78102 [3, 1, 1, 2, 3, 3, 3, 3, 2, 2] amoros 1.8 0.9798 [3, 1, 2, 2, 1, 1, 3, 0, 2, 3] amorosament 2.3 0.78102 [1, 1, 3, 2, 3, 3, 2, 3, 2, 3] amorousness 2.0 0.89443 [2, 3, 1, 2, 0, 2, 2, 3, 3, 2] amorph -0.2 0.4 [0, 0, 0, 0, 0, 0, -1, 0, 0, -1] amorphously 0.1 0.7 [-1, 0, 0, 0, 0, 0, 2, 0, 0, 0] amorphousness 0.3 0.45826 [0, 0, 0, 0, 0, 1, 1, 1, 0, 0] a mort -2.1 0.83066 [-3, -1, -2, -2, -2, -2, -2, -4, -1, -2] recuperar 0.5 1.43178 [0, 1, 1, 0, -3, 2, 0, 0, 2, 2] amortizat -0.2 1.16619 [-1, -3, 0, 0, 0, 2, 0, 0, 0, 0] amortises 0.1 0.83066 [-1, -1, 0, 0, 0, 2, 1, 0, 0, 0] amortizable 0.5 1.0247 [2, 0, 1, 0, 1, 1, -2, 1, 0, 1] amortization 0.6 1.0198 [0, 0, 0, 0, 1, 0, 0, 0, 3, 2] amortizations 0.2 1.07703 [-1, 1, 0, 0, 1, 0, 2, 1, -2, 0] amortitzat -0.1 1.04403 [0, 0, 0, 0, 2, -2, -1, 1, -1, 0] amortitzat 0.8 0.74833 [0, 2, 0, 0, 1, 1, 1, 0, 1, 2] amortizes 0.6 0.8 [0, 2, 0, 0, 1, 1, 0, 0, 0, 2] amortizing 0.8 1.249 [0, 3, 0, 0, 0, 0, 0, 0, 3, 2] amusable 0.7 1.18743 [2, 1, 1, 1, 1, 1, 2, -2, -1, 1] divertir 1.7 0.78102 [1, 2, 1, 1, 2, 1, 1, 3, 3, 2] divertit 1.8 0.6 [1, 2, 2, 2, 2, 2, 1, 2, 3, 1] divertidament 2.2 0.74833 [3, 3, 2, 2, 3, 2, 2, 3, 1, 1] diversio 1.5 1.11803 [3, 2, 3, 1, 2, 2, -1, 1, 1, 1] amusements 1.5 1.0247 [2, 1, 2, 1, 2, 2, 3, -1, 2, 1] amuser 1.1 1.7 [2, 1, -3, 2, 2, 3, -1, 1, 2, 2] amusers 1.3 0.45826 [1, 1, 2, 1, 2, 1, 2, 1, 1, 1] amuses 1.7 0.64031 [1, 2, 1, 2, 2, 2, 1, 2, 3, 1] amusia 0.3 1.48661 [0, -1, 1, -1, 2, 2, -1, -1, -1, 3] amusias -0.4 0.66332 [-1, 0, 0, 1, 0, 0, -1, -1, -1, -1] amusing 1.6 0.91652 [2, 2, 2, -1, 2, 2, 1, 2, 2, 2] amusingly 0.8 1.249 [1, 2, 1, 1, 1, 2, 2, -2, -1, 1] amusingness 1.8 0.6 [1, 2, 3, 2, 1, 2, 2, 1, 2, 2] amusive 1.7 1.1 [3, 1, 3, 1, 2, 2, 2, 2, -1, 2] indignacio -2.7 1.18743 [-1, -2, -3, -2, -4, -4, -2, -1, -4, -4] disgust -2.7 1.18743 [-1, -2, -3, -2, -4, -4, -2, -1, -4, -4] indignat -2.3 0.78102 [-2, -3, -2, -4, -2, -2, -3, -2, -2, -1] disgustat -2.3 0.78102 [-2, -3, -2, -4, -2, -2, -3, -2, -2, -1] angering -2.2 0.6 [-3, -2, -1, -3, -2, -2, -3, -2, -2, -2] agrament -1.9 0.53852 [-2, -2, -1, -1, -3, -2, -2, -2, -2, -2] agre -2.3 0.9 [-3, -1, -2, -3, -2, -2, -4, -1, -3, -2] enfadat -2.3 0.64031 [-2, -3, -2, -3, -1, -3, -2, -3, -2, -2] angriest -3.1 0.83066 [-4, -3, -2, -2, -2, -4, -3, -4, -4, -3] rabiosament -1.8 0.4 [-2, -1, -2, -2, -2, -1, -2, -2, -2, -2] indignació -1.7 0.64031 [-2, 0, -2, -2, -1, -2, -2, -2, -2, -2] enfadat -2.3 0.9 [-2, -2, -1, -3, -1, -2, -4, -2, -3, -3] enfadada -2.3 0.9 [-2, -2, -1, -3, -1, -2, -4, -2, -3, -3] angoixa -2.9 0.83066 [-3, -3, -2, -3, -4, -1, -3, -3, -4, -3] angoixat -1.8 1.4 [-3, -4, -1, -3, -2, -1, -1, 1, -1, -3] anguishes -2.1 1.44568 [-4, -4, -2, -3, 1, -2, -1, -1, -2, -3] anguishing -2.7 0.9 [-2, -2, -1, -3, -2, -4, -4, -3, -3, -3] hostilitat -1.9 1.75784 [-2, -3, -3, -3, -2, 2, 1, -3, -3, -3] molestar -1.9 0.53852 [-2, -2, -1, -2, -2, -1, -2, -2, -2, -3] disgust -1.3 1.55242 [-2, -3, -2, -2, -1, 1, -3, -2, 2, -1] disgustos -1.8 0.6 [-2, -2, -2, -1, -1, -2, -3, -1, -2, -2] molestat -1.6 1.11355 [-3, -1, 1, -3, -1, -1, -2, -2, -2, -2] molest -2.2 0.87178 [-3, -2, -1, -3, -2, -4, -2, -1, -2, -2] molesta -2.2 0.87178 [-3, -2, -1, -3, -2, -4, -2, -1, -2, -2] molestos -1.5 1.0247 [-2, -1, -2, -3, -2, -1, -1, -2, 1, -2] molestes -1.5 1.0247 [-2, -1, -2, -3, -2, -1, -1, -2, 1, -2] irritant -1.7 0.64031 [-1, -2, -1, -2, -1, -1, -2, -2, -3, -2] incordi -1.8 0.6 [-1, -2, -3, -2, -2, -2, -1, -2, -1, -2] antagonisme -1.9 1.04403 [-1, -1, -3, -2, -4, -2, -2, 0, -2, -2] antagonismes -1.2 1.53623 [0, -2, -2, -2, -2, -2, 3, -2, -1, -2] antagonista -1.9 0.7 [-3, -1, -2, -3, -2, -2, -1, -2, -2, -1] antagonistic -1.7 0.9 [-2, -2, -2, 1, -2, -2, -2, -2, -2, -2] antagonisticament -2.2 0.87178 [-2, -3, -4, -2, -2, -3, -2, -2, -1, -1] antagonistes -1.7 0.64031 [-2, -1, -1, -2, -1, -2, -2, -3, -1, -2] antagonize -2.0 0.44721 [-2, -2, -2, -3, -2, -1, -2, -2, -2, -2] antagonized -1.4 0.66332 [-2, -1, -2, -2, -1, 0, -2, -1, -1, -2] antagonizes -0.5 1.9105 [-2, 4, -2, -2, 1, 0, -2, 1, -1, -2] antagonizing -2.7 0.64031 [-4, -2, -2, -3, -2, -3, -3, -2, -3, -3] anti -1.3 0.78102 [0, -2, -3, -1, -1, -2, -1, -1, -1, -1] anticipació 0.4 1.28062 [1, 1, -1, 0, -1, 1, 1, 2, -2, 2] ansietats -0.6 1.85472 [-2, -3, -3, -2, -1, 2, -1, 1, 1, 2] ansietat -0.7 2.1 [-2, -2, -2, -3, 3, -1, -3, 2, 2, -1] ansios -1.0 0.44721 [-1, -2, -1, -1, 0, -1, -1, -1, -1, -1] ansiosament -0.9 0.83066 [-1, -1, -2, -1, -1, -1, -1, 0, 1, -2] anxiousness -1.0 1.48324 [-2, -1, -1, -1, -1, -2, 3, -3, -1, -1] aok 2.0 0.89443 [2, 3, 2, 1, 2, 1, 1, 4, 2, 2] apathetic -1.2 0.87178 [-1, -1, 0, -2, -2, -1, -1, 0, -3, -1] apathetically -0.4 1.28062 [-1, -1, 0, -1, -2, 2, -1, -1, 2, -1] apathies -0.6 1.0198 [-1, -1, -1, -2, 0, 1, -1, -2, 1, 0] apatia -1.2 1.32665 [-2, -2, -1, 1, -1, -3, -1, 1, -1, -3] apeshit -0.9 2.21133 [-4, -3, 2, -3, -2, -3, 1, 0, 2, 1] apocalyptic -3.4 0.66332 [-4, -2, -3, -4, -3, -4, -4, -3, -3, -4] apologise 1.6 0.66332 [2, 3, 2, 2, 1, 1, 2, 1, 1, 1] apologised 0.4 0.91652 [-1, 0, 2, 0, 0, 1, 0, 2, 0, 0] apologises 0.8 1.07703 [2, 0, 2, 0, 0, 1, 0, 3, 0, 0] apologising 0.2 1.6 [0, -1, -1, 2, 2, 1, -2, -1, 3, -1] apologize 0.4 0.8 [1, -1, 0, 1, 1, 1, -1, 1, 0, 1] apologized 1.3 0.64031 [1, 1, 1, 2, 0, 2, 1, 2, 2, 1] apologizes 1.5 0.80623 [2, 1, 1, 2, 0, 2, 1, 2, 3, 1] apologizing -0.3 1.34536 [1, 2, -1, 1, -1, 0, -3, 0, -1, -1] apology 0.2 1.249 [1, 1, 1, 1, -1, 1, -1, -1, -2, 2] horroritzar -2.4 0.66332 [-3, -2, -2, -3, -2, -3, -1, -3, -2, -3] espantat -2.0 0.63246 [-3, -2, -3, -2, -2, -1, -1, -2, -2, -2] appalling -1.5 1.5 [-2, -4, 1, -1, 1, -1, -2, -3, -2, -2] appallingly -2.0 1.67332 [-3, -2, 0, -2, 2, -3, -4, -3, -2, -3] appalls -1.9 1.37477 [0, -3, -2, -3, -3, -2, -1, -3, 1, -3] appease 1.1 0.9434 [1, 1, 1, -1, 2, 0, 1, 2, 2, 2] appeased 0.9 0.53852 [0, 1, 1, 1, 1, 1, 0, 1, 2, 1] appeases 0.9 0.53852 [0, 1, 1, 1, 1, 1, 0, 1, 2, 1] appeasing 1.0 1.09545 [1, 2, -1, 1, 2, 1, 2, 2, 1, -1] aplaudir 2.0 0.63246 [3, 2, 2, 2, 1, 2, 3, 1, 2, 2] aplaudit 1.5 0.5 [2, 2, 1, 2, 2, 2, 1, 1, 1, 1] applauding 2.1 0.83066 [2, 2, 4, 1, 2, 2, 2, 1, 2, 3] aplaudiments 1.4 0.66332 [1, 1, 2, 1, 3, 1, 1, 1, 2, 1] aplaudiment 1.8 0.6 [2, 1, 1, 2, 3, 2, 1, 2, 2, 2] apreciat 1.7 0.78102 [2, 1, 2, 1, 1, 3, 1, 2, 3, 1] apreciats 2.3 0.78102 [2, 1, 3, 2, 3, 4, 2, 2, 2, 2] apreciades 2.3 0.9 [3, 1, 3, 1, 2, 4, 2, 3, 2, 2] appreciating 1.9 0.7 [1, 1, 2, 2, 2, 2, 1, 3, 2, 3] appreciation 2.3 0.9 [3, 3, 2, 1, 1, 3, 3, 1, 3, 3] appreciations 1.7 0.78102 [3, 2, 1, 2, 2, 1, 3, 1, 1, 1] appreciative 2.6 0.8 [3, 3, 3, 2, 1, 3, 4, 2, 2, 3] appreciatively 1.8 0.6 [2, 2, 2, 2, 2, 1, 3, 2, 1, 1] appreciativeness 1.6 0.8 [2, 1, 1, 2, 1, 1, 3, 3, 1, 1] appreciator 2.6 0.8 [2, 3, 2, 3, 3, 2, 1, 3, 4, 3] appreciators 1.5 0.80623 [1, 3, 1, 3, 1, 1, 2, 1, 1, 1] appreciatory 1.7 0.78102 [1, 2, 1, 3, 1, 3, 2, 2, 1, 1] apprehensible 1.1 1.04403 [2, 0, -1, 3, 1, 2, 1, 1, 1, 1] apprehensibly -0.2 1.16619 [0, 0, -1, 2, -1, 2, -1, -1, -1, -1] aprensió -2.1 0.83066 [-1, -2, -2, -1, -2, -3, -3, -3, -1, -3] apprehensions -0.9 1.04403 [-1, -1, -1, -1, -2, -2, -1, -1, -1, 2] apprehensively -0.3 1.18743 [-1, -1, -1, 0, 1, -2, -1, 1, -1, 2] apprehensiveness -0.7 0.9 [-1, 1, -1, -1, 1, -1, -2, -1, -1, -1] accepte 2.1 0.53852 [2, 2, 2, 2, 2, 1, 3, 3, 2, 2] acceptat 1.8 0.6 [1, 1, 1, 2, 3, 2, 2, 2, 2, 2] acceptada 1.8 0.6 [1, 1, 1, 2, 3, 2, 2, 2, 2, 2] acceptes 1.7 0.64031 [1, 1, 1, 2, 3, 2, 2, 2, 2, 1] ardent 2.1 0.7 [3, 3, 2, 2, 3, 1, 2, 2, 1, 2] discutible -1.0 0.63246 [-1, -1, -2, -1, -1, -2, 0, 0, -1, -1] discutiblement -1.0 1.09545 [0, -2, 0, -2, 0, 1, -1, -2, -2, -2] discutir -1.4 0.66332 [-1, -2, -1, -3, -2, -1, -1, -1, -1, -1] discutit -1.5 0.5 [-2, -2, -1, -1, -1, -1, -2, -2, -2, -1] discutidor -1.6 0.4899 [-2, -2, -1, -2, -1, -1, -2, -2, -2, -1] discutidora -1.6 0.4899 [-2, -2, -1, -2, -1, -1, -2, -2, -2, -1] discutidors -1.4 0.4899 [-2, -1, -1, -2, -1, -1, -2, -2, -1, -1] argues -1.6 0.4899 [-2, -2, -1, -2, -1, -1, -2, -2, -2, -1] discutint -2.0 0.63246 [-3, -3, -1, -1, -2, -2, -2, -2, -2, -2] discusió -1.5 0.80623 [-3, -1, -1, -1, -1, -2, 0, -2, -2, -2] argumentative -1.5 0.67082 [-3, -2, -1, -1, -1, -1, -1, -2, -2, -1] argumentatively -1.8 0.9798 [-4, -2, -1, -1, -3, -1, -2, -2, -1, -1] argumentive -1.5 0.80623 [-3, -2, -2, -1, 0, -1, -1, -1, -2, -2] discusions -1.7 0.64031 [-1, -1, -2, -2, -2, -3, -2, -1, -1, -2] arrest -1.4 1.42829 [-1, 0, -1, 0, -2, -3, 0, -4, -3, 0] arrestat -2.1 1.04403 [-2, -2, -2, -1, -1, -4, -1, -4, -2, -2] arrests -1.9 0.83066 [-4, -2, -1, -1, -1, -2, -2, -2, -2, -2] arrogancia -2.4 0.66332 [-3, -2, -2, -3, -1, -2, -3, -3, -2, -3] arrogancies -1.9 0.53852 [-1, -2, -3, -2, -2, -2, -2, -1, -2, -2] arrogant -2.2 0.6 [-2, -2, -2, -3, -2, -3, -3, -2, -1, -2] arrogantment -1.8 1.4 [-3, -2, 2, -3, -1, -3, -2, -2, -2, -2] avergonyit -2.1 1.3 [-3, -3, -3, -2, -2, 1, -2, -4, -1, -2] avergonyida -2.1 1.3 [-3, -3, -3, -2, -2, 1, -2, -4, -1, -2] ashamedly -1.7 0.64031 [-2, -2, -2, -1, -2, -3, -1, -2, -1, -1] cul -2.5 1.43178 [-4, -1, -2, -1, -3, 0, -2, -4, -4, -4] assassinat -2.9 0.9434 [-2, -4, -4, -3, -3, -4, -2, -3, -3, -1] assassinats -2.7 1.34536 [-4, -2, -3, -2, -3, -1, -4, -4, 0, -4] asalt -2.8 0.9798 [-3, -4, -2, -2, -4, -3, -1, -3, -2, -4] asaltat -2.4 1.28062 [-3, -3, 1, -3, -3, -3, -1, -3, -3, -3] asaltant -2.3 1.1 [-4, -3, -2, -1, -2, -1, -1, -4, -3, -2] assaultive -2.8 0.87178 [-3, -4, -2, -4, -3, -2, -3, -1, -3, -3] assaults -2.5 0.92195 [-1, -3, -3, -3, -4, -3, -1, -2, -2, -3] avantatge 1.5 0.80623 [2, 1, 1, 3, 2, 0, 2, 2, 1, 1] assets 0.7 1.00499 [0, 0, 1, 3, 0, 1, 0, 0, 2, 0] traició -2.5 1.43178 [-3, -3, 0, -3, 0, -2, -4, -4, -4, -2] culs -2.8 0.74833 [-3, -3, -3, -3, -4, -3, -2, -3, -1, -3] assurance 1.4 0.4899 [1, 1, 2, 2, 1, 1, 1, 2, 2, 1] assurances 1.4 0.4899 [2, 2, 1, 1, 1, 2, 2, 1, 1, 1] asegurar 1.4 0.4899 [1, 1, 1, 1, 2, 1, 1, 2, 2, 2] assegurat 1.5 0.67082 [1, 1, 2, 1, 1, 3, 2, 1, 2, 1] assuredly 1.6 0.66332 [1, 1, 1, 3, 2, 2, 2, 1, 2, 1] assuredness 1.4 0.8 [2, 2, 2, 1, 1, 0, 2, 0, 2, 2] assurer 0.9 1.13578 [2, 1, 0, 1, -2, 2, 2, 1, 1, 1] assurers 1.1 0.9434 [2, 0, 0, 1, 3, 2, 0, 1, 1, 1] assures 1.3 0.45826 [2, 1, 1, 1, 2, 1, 2, 1, 1, 1] assurgent 1.3 0.9 [2, 1, 0, 0, 1, 2, 1, 2, 3, 1] assuring 1.6 0.66332 [1, 2, 2, 3, 1, 1, 1, 1, 2, 2] assuror 0.5 0.67082 [0, 1, 0, 1, 2, 0, 0, 1, 0, 0] assurors 0.7 1.34536 [2, -1, 0, 2, 0, -2, 2, 1, 1, 2] sorprés 1.6 0.8 [3, 1, 0, 2, 2, 1, 2, 2, 1, 2] sorprendre 1.7 1.26886 [2, 2, 2, 2, 0, 3, 4, 0, 0, 2] astounded 1.8 0.9798 [1, 3, 0, 1, 2, 2, 3, 2, 1, 3] astounding 1.8 1.4 [3, 4, 2, 0, 1, 2, -1, 3, 2, 2] astoundingly 2.1 1.44568 [3, 0, 4, 1, 4, 3, 1, 3, 0, 2] astounds 2.1 1.22066 [3, 3, 1, 0, 3, 2, 3, 3, 0, 3] accessori 1.2 0.9798 [2, 0, 1, 2, 3, 1, 1, 2, 0, 0] accessoris 1.1 0.7 [1, 1, 2, 0, 2, 1, 2, 0, 1, 1] atac -2.1 0.83066 [-1, -3, -2, -3, -3, -1, -2, -1, -2, -3] atacat -2.0 1.78885 [-2, 3, -2, -2, -3, -3, -3, -4, -2, -2] atacant -2.7 0.9 [-2, -3, -2, -1, -3, -3, -4, -4, -2, -3] atacants -2.7 0.64031 [-3, -3, -3, -2, -3, -3, -4, -2, -2, -2] attacking -2.0 0.89443 [-3, -1, -1, -3, -3, -1, -3, -1, -2, -2] atacs -1.9 0.9434 [-2, -2, 0, -2, -2, -2, -1, -4, -2, -2] attracció 1.5 0.92195 [1, 3, 1, 1, 3, 1, 1, 2, 0, 2] attractancy 0.9 0.7 [1, 0, 2, 1, 0, 2, 1, 1, 0, 1] attractant 1.3 0.9 [0, 1, 0, 1, 1, 2, 3, 2, 1, 2] attractants 1.4 0.8 [1, 1, 0, 2, 2, 2, 3, 1, 1, 1] atret 1.8 0.6 [1, 3, 1, 2, 2, 2, 2, 2, 2, 1] atractiu 2.1 0.83066 [3, 1, 2, 2, 3, 1, 1, 3, 2, 3] atracció 2.0 0.7746 [2, 2, 1, 1, 2, 3, 3, 2, 3, 1] atraccions 1.8 0.87178 [1, 3, 0, 2, 2, 2, 2, 3, 1, 2] atractiu 1.9 0.53852 [2, 2, 2, 1, 3, 2, 1, 2, 2, 2] atractiva 1.9 0.53852 [2, 2, 2, 1, 3, 2, 1, 2, 2, 2] atractivament 2.2 0.6 [3, 2, 2, 3, 2, 2, 2, 3, 1, 2] attractiveness 1.8 1.16619 [3, 2, 2, 1, 4, 2, 0, 0, 2, 2] attractivenesses 2.1 0.7 [2, 1, 2, 3, 2, 3, 3, 1, 2, 2] attractor 1.2 1.16619 [1, 1, 2, 2, 2, -2, 2, 1, 2, 1] attractors 1.2 0.87178 [1, 1, 2, 2, 0, 1, 3, 1, 0, 1] attracts 1.7 1.00499 [2, 1, 2, 0, 2, 4, 2, 1, 1, 2] agosarat 0.9 2.02237 [3, -1, -2, 2, 1, 2, -3, 2, 2, 3] audaç 0.9 2.02237 [3, -1, -2, 2, 1, 2, -3, 2, 2, 3] autoritat 0.3 0.64031 [0, 0, 0, 1, 0, 0, 2, 0, 0, 0] aversió -1.9 1.04403 [-3, -3, -1, -2, 0, -3, -1, -2, -1, -3] aversions -1.1 1.13578 [-2, -1, -2, -2, -2, 1, -1, -2, 1, -1] aversive -1.6 0.66332 [-2, -1, -1, -1, -2, -2, -1, -2, -3, -1] aversively -0.8 1.53623 [-3, -1, -2, -1, 1, -2, 2, -2, 1, -1] evitar -0.7 0.78102 [-1, 0, -2, -1, -1, 1, -1, 0, -1, -1] averted -0.3 1.00499 [-1, 1, 0, 0, 1, 0, -2, 0, 0, -2] averts -0.4 1.0198 [-2, -2, -1, -1, 0, 0, 1, 0, 1, 0] avid 1.2 0.87178 [-1, 2, 2, 1, 1, 1, 2, 2, 1, 1] evitar -1.2 0.6 [-1, -1, -1, -1, -2, -2, -1, -2, 0, -1] avoidance -1.7 0.45826 [-2, -2, -1, -1, -1, -2, -2, -2, -2, -2] avoidances -1.1 0.53852 [-1, -1, -1, -1, -2, 0, -1, -2, -1, -1] avoided -1.4 0.4899 [-2, -1, -2, -1, -1, -1, -2, -1, -2, -1] avoider -1.8 0.6 [-2, -1, -3, -1, -2, -2, -2, -1, -2, -2] evitadors -1.4 0.66332 [-2, -2, -1, -2, -1, -1, 0, -1, -2, -2] avoiding -1.4 0.91652 [-2, 1, -2, -2, -1, -2, -1, -1, -2, -2] evitem -0.7 0.45826 [-1, -1, -1, -1, -1, -1, 0, 0, 0, -1] esperar 0.4 0.4899 [0, 0, 0, 1, 0, 1, 0, 1, 1, 0] esperat -0.1 0.83066 [1, 0, 0, 0, 1, -1, 0, 0, -2, 0] esperada -0.1 0.83066 [1, 0, 0, 0, 1, -1, 0, 0, -2, 0] espera 0.3 0.78102 [0, 0, 0, 1, 2, 1, 0, 0, -1, 0] premi 2.5 0.92195 [2, 1, 1, 3, 3, 2, 4, 3, 3, 3] awardable 2.4 0.8 [3, 3, 3, 1, 3, 1, 2, 3, 2, 3] awarded 1.7 0.78102 [2, 0, 1, 3, 2, 2, 2, 1, 2, 2] awardee 1.8 0.6 [2, 2, 1, 3, 2, 2, 1, 1, 2, 2] awardees 1.2 0.74833 [1, 1, 1, 1, 0, 1, 1, 1, 3, 2] awarder 0.9 1.04403 [2, 0, 1, 3, 0, 2, 1, 0, 0, 0] awarders 1.3 1.18743 [2, 1, 0, 2, 2, 0, 0, 4, 1, 1] awarding 1.9 0.7 [3, 2, 1, 2, 1, 2, 3, 1, 2, 2] awards 2.0 0.44721 [2, 2, 2, 2, 1, 2, 2, 3, 2, 2] impressionant 3.1 0.83066 [3, 4, 2, 3, 2, 2, 4, 4, 4, 3] terrible -2.0 2.04939 [-2, -2, -3, -3, -2, -3, 4, -3, -3, -3] horrible -2.0 2.04939 [-2, -2, -3, -3, -2, -3, 4, -3, -3, -3] espantos -2.0 2.04939 [-2, -2, -3, -3, -2, -3, 4, -3, -3, -3] incomode -0.6 1.56205 [-2, -1, -1, -1, -1, -1, -1, -1, 4, -1] pocatraça -0.6 1.56205 [-2, -1, -1, -1, -1, -1, -1, -1, 4, -1] awkwardly -1.3 0.45826 [-1, -1, -2, -1, -1, -1, -1, -2, -2, -1] awkwardness -0.7 1.41774 [-1, -2, -2, -1, -2, 2, -1, -1, 2, -1] retallar -0.4 0.8 [-2, 0, 0, 0, 0, 0, -1, -1, -1, 1] retallada -1.3 0.78102 [-1, -2, 0, -3, -1, -2, -1, -1, -1, -1] suportat 0.1 0.3 [0, 0, 1, 0, 0, 0, 0, 0, 0, 0] backing 0.1 0.83066 [1, 1, -1, 0, 0, 0, -1, 1, -1, 1] backs -0.2 0.4 [0, 0, -1, 0, 0, 0, 0, -1, 0, 0] mal -2.5 0.67082 [-3, -2, -4, -3, -2, -2, -3, -2, -2, -2] fotut -0.6 1.85472 [-2, 3, 0, 0, -1, -3, -1, -3, 2, -1] agressiu -0.6 1.85472 [-2, 3, 0, 0, -1, -3, -1, -3, 2, -1] malament -2.1 0.7 [-2, -3, -2, -1, -3, -2, -3, -2, -1, -2] bailout -0.4 1.35647 [-1, 0, 0, 2, -2, -1, -2, 2, -1, -1] bamboozle -1.5 1.0247 [-3, -2, -2, -1, -2, -2, 1, -1, -1, -2] bamboozled -1.5 1.11803 [-1, 0, -2, -4, -2, -1, -2, -1, 0, -2] bamboozles -1.5 1.0247 [-1, 0, -2, -4, -2, -1, -2, -1, -1, -1] prohibicio -2.6 1.0198 [-4, -3, -4, -3, -2, -1, -3, -2, -1, -3] banish -1.9 0.9434 [-2, -2, -2, -2, -1, -3, -1, -1, -1, -4] fer fallida -2.6 1.0198 [-4, -4, -2, -2, -4, -3, -2, -2, -1, -2] bankster -2.1 0.53852 [-3, -1, -2, -2, -2, -2, -2, -3, -2, -2] prohibit -2.0 1.0 [-2, -1, -1, -1, -2, -2, -4, -3, -3, -1] ganga 0.8 1.16619 [1, 1, 1, 1, 0, 1, 2, 3, -1, -1] barrier -0.5 0.92195 [-2, 0, 0, -2, -1, -1, 1, 0, 0, 0] timida -0.1 1.13578 [-1, 2, -1, 0, -1, 2, 0, 0, -1, -1] timidament 0.2 0.9798 [0, 0, 0, -1, 1, 1, 1, 1, -2, 1] bashfulness -0.8 0.9798 [-2, -1, 1, 1, -1, -2, -1, -1, -1, -1] bastard -2.5 0.67082 [-2, -4, -2, -3, -2, -2, -3, -3, -2, -2] adulterat -2.5 0.67082 [-2, -4, -2, -3, -2, -2, -3, -3, -2, -2] bastardies -1.8 0.87178 [-2, -1, -3, -2, -2, -2, -1, 0, -2, -3] bastardise -2.1 0.83066 [-2, -1, -4, -2, -2, -3, -2, -2, -2, -1] bastardised -2.3 0.9 [-3, -2, -3, -1, -2, -3, -4, -1, -2, -2] bastardises -2.3 1.18743 [-1, -4, -2, -3, -3, 0, -2, -4, -2, -2] bastardising -2.6 0.8 [-3, -2, -3, -2, -2, -1, -3, -4, -3, -3] bastardization -2.4 1.28062 [-1, -3, -4, -4, -2, -2, -2, 0, -2, -4] bastardizations -2.1 0.7 [-2, -1, -3, -3, -2, -2, -3, -1, -2, -2] bastardize -2.4 0.66332 [-2, -2, -3, -2, -2, -3, -4, -2, -2, -2] bastardized -2.0 0.7746 [-2, -1, -1, -2, -3, -2, -3, -2, -1, -3] bastardizes -1.8 0.87178 [-2, -1, -1, -2, -2, -2, -3, -3, 0, -2] bastardizing -2.3 0.9 [-2, -2, -1, -4, -3, -2, -1, -2, -3, -3] bastardament -2.7 0.64031 [-3, -3, -2, -2, -3, -2, -2, -4, -3, -3] bastards -3.0 0.63246 [-4, -2, -3, -3, -4, -3, -3, -3, -3, -2] bastardy -2.7 1.1 [-4, -3, -2, -2, -4, -3, -3, -3, -3, 0] batalla -1.6 1.28062 [-1, -3, 0, -3, -2, -3, -2, -2, 1, -1] combatut -1.2 0.87178 [0, 0, -2, 0, -2, -1, -2, -1, -2, -2] battlefield -1.6 0.8 [-2, -2, 0, -1, -2, -1, -3, -2, -1, -2] camp de batalla -0.9 1.22066 [-1, -1, 0, 0, -4, -1, 0, 0, 0, -2] front de batalla -1.2 0.87178 [-1, 0, -2, -1, 0, -3, -1, -2, -1, -1] battlefronts -0.8 1.16619 [0, 0, -2, -1, 0, -3, -1, 1, -2, 0] battleground -1.7 0.78102 [-2, 0, -2, -2, -1, -2, -2, -3, -1, -2] battlegrounds -0.6 1.35647 [2, -2, 0, -1, 0, -2, -2, -2, 0, 1] battlement -0.4 0.8 [0, -1, 0, -1, 0, -2, 0, 1, 0, -1] trinxeres -0.4 0.66332 [0, 0, 0, 0, 0, -1, -2, 0, -1, 0] battler -0.8 1.4 [2, 0, -2, 0, -2, 1, -2, -1, -2, -2] battlers -0.2 0.9798 [-1, 0, 2, -2, 0, 0, 0, -1, 0, 0] battles -1.6 0.4899 [-1, -1, -2, -1, -2, -2, -2, -1, -2, -2] battleship -0.1 1.3 [2, -3, -1, -1, 0, 0, 1, 1, 0, 0] battleships -0.5 0.80623 [-2, 0, 0, 0, 0, -1, -2, 0, 0, 0] battlewagon -0.3 0.64031 [0, 0, -1, -2, 0, 0, 0, 0, 0, 0] battlewagons -0.5 0.67082 [0, 0, 0, -1, -2, -1, 0, -1, 0, 0] battling -1.1 1.04403 [0, -1, -2, -2, -1, 1, -2, 0, -2, -2] colpejat -1.8 0.6 [-1, -2, -2, -2, -3, -2, -2, -2, -1, -1] beatific 1.8 1.6 [3, 0, 2, 4, -2, 2, 2, 2, 2, 3] colpejant -2.0 0.63246 [-2, -3, -2, -2, -1, -1, -2, -3, -2, -2] meravella 1.6 1.2 [2, 2, 2, 0, 1, -1, 2, 3, 3, 2] beauteous 2.5 1.0247 [2, 1, 4, 3, 3, 2, 1, 4, 2, 3] beauteously 2.6 0.8 [2, 3, 3, 3, 2, 1, 3, 4, 2, 3] beauteousness 2.7 1.00499 [1, 3, 4, 3, 4, 1, 2, 3, 3, 3] beautician 1.2 0.9798 [0, 0, 3, 2, 2, 0, 1, 1, 1, 2] beauticians 0.4 0.66332 [0, 1, 0, 0, 0, 0, 1, 0, 2, 0] beauties 2.4 0.8 [2, 3, 3, 3, 3, 1, 2, 1, 3, 3] beautification 1.9 0.7 [2, 2, 2, 1, 2, 1, 3, 1, 2, 3] beautifications 2.4 0.8 [3, 2, 3, 3, 1, 3, 2, 3, 1, 3] beautified 2.1 0.7 [2, 2, 3, 1, 2, 2, 3, 1, 2, 3] beautifier 1.7 0.64031 [2, 1, 2, 1, 2, 1, 3, 1, 2, 2] beautifiers 1.7 0.78102 [3, 3, 1, 2, 1, 2, 2, 1, 1, 1] beautifies 1.8 0.74833 [2, 1, 2, 1, 2, 1, 3, 1, 2, 3] beautiful 2.9 0.7 [2, 3, 2, 3, 2, 3, 4, 4, 3, 3] beautifuler 2.1 0.83066 [2, 0, 2, 2, 3, 2, 2, 2, 3, 3] beautifulest 2.6 0.8 [3, 3, 3, 3, 2, 2, 4, 2, 1, 3] beautifully 2.7 0.64031 [3, 3, 2, 2, 3, 3, 2, 2, 4, 3] beautifulness 2.6 0.8 [3, 3, 3, 2, 3, 4, 3, 2, 2, 1] beautify 2.3 0.45826 [2, 3, 3, 2, 2, 3, 2, 2, 2, 2] beautifying 2.3 0.78102 [1, 2, 1, 3, 2, 2, 3, 3, 3, 3] beauts 1.7 0.78102 [1, 2, 0, 3, 1, 2, 2, 2, 2, 2] bellesa 2.8 0.74833 [3, 3, 2, 3, 4, 4, 2, 2, 3, 2] menysprear -1.9 0.53852 [-2, -2, -2, -1, -2, -2, -1, -2, -3, -2] menyspreat -2.0 1.0 [-3, -2, -3, -3, -2, -3, -1, -1, -2, 0] menyspreada -2.0 1.0 [-3, -2, -3, -3, -2, -3, -1, -1, -2, 0] estimat 2.3 0.45826 [2, 2, 3, 2, 2, 2, 2, 3, 3, 2] estimada 2.3 0.45826 [2, 2, 3, 2, 2, 2, 2, 3, 3, 2] benefic 1.4 0.4899 [2, 2, 1, 1, 1, 2, 2, 1, 1, 1] benefice 0.4 0.66332 [0, 2, 0, 1, 0, 0, 1, 0, 0, 0] beneficed 1.1 0.7 [1, 1, 1, 0, 2, 0, 1, 1, 2, 2] beneficence 2.8 0.87178 [1, 4, 3, 4, 2, 2, 3, 3, 3, 3] beneficences 1.5 0.67082 [1, 1, 2, 2, 1, 1, 1, 3, 2, 1] beneficent 2.3 0.45826 [3, 2, 3, 2, 2, 2, 2, 3, 2, 2] beneficently 2.2 0.6 [3, 2, 3, 3, 2, 2, 1, 2, 2, 2] benefices 1.1 0.83066 [1, 1, 1, 0, 1, 0, 1, 1, 2, 3] beneficial 1.9 0.53852 [2, 2, 1, 2, 2, 1, 3, 2, 2, 2] beneficially 2.4 0.8 [3, 3, 2, 2, 2, 1, 3, 4, 2, 2] beneficialness 1.7 0.64031 [2, 1, 2, 2, 1, 1, 2, 2, 1, 3] beneficiaries 1.8 1.16619 [0, 1, 2, 1, 3, 4, 3, 1, 2, 1] beneficiary 2.1 0.83066 [1, 3, 2, 2, 2, 1, 3, 3, 1, 3] beneficiate 1.0 1.18322 [0, 0, 1, 3, 1, 0, 2, 0, 3, 0] beneficiation 0.4 1.0198 [2, 2, 0, -1, 1, 0, -1, 0, 0, 1] benefit 2.0 0.63246 [2, 3, 1, 2, 2, 3, 2, 1, 2, 2] beneficia 1.6 0.4899 [2, 2, 2, 1, 2, 1, 2, 2, 1, 1] benefitted 1.7 0.64031 [2, 2, 1, 2, 2, 2, 2, 2, 0, 2] benefitting 1.9 0.7 [1, 2, 2, 3, 1, 1, 2, 3, 2, 2] benevolence 1.7 1.1 [2, 1, 3, 2, 2, 1, 2, 2, -1, 3] benevolences 1.9 1.64012 [3, 2, -1, -1, 3, 1, 3, 4, 2, 3] benevolent 2.7 0.78102 [2, 2, 3, 2, 4, 2, 3, 2, 4, 3] benevolentament 1.4 1.11355 [2, 1, 2, 2, 1, -1, 2, 3, 0, 2] benevolentness 1.2 1.249 [2, 2, 1, -1, 2, 2, 3, -1, 1, 1] benigne 1.3 0.9 [1, 3, 2, 2, 1, 1, 2, 0, 0, 1] benignancy 0.6 1.2 [2, -1, -2, 1, 0, 1, 1, 2, 1, 1] benignant 2.2 0.9798 [2, 2, 2, 2, 2, 2, 4, 0, 3, 3] benignantly 1.1 1.3 [3, 2, 3, 0, 1, 1, -1, 2, 0, 0] benignities 0.9 0.9434 [-1, 2, 1, 0, 1, 1, 2, 2, 1, 0] benignity 1.3 1.18743 [2, -2, 2, 2, 2, 1, 2, 1, 1, 2] benignly 0.2 1.07703 [0, -1, 1, 1, 1, 0, 2, 0, -2, 0] furtar -2.1 1.13578 [0, -2, -2, -3, -3, -4, -3, -2, -1, -1] bereaved -2.1 0.9434 [-2, -2, -2, -1, -2, -1, -4, -1, -3, -3] bereaves -1.9 1.22066 [0, -3, 0, -1, -3, -2, -3, -1, -3, -3] bereaving -1.3 1.84662 [-3, -4, -3, 1, -2, 0, -3, -1, 1, 1] millor 3.2 0.6 [2, 4, 4, 3, 4, 3, 3, 3, 3, 3] trair -3.2 0.6 [-3, -4, -4, -3, -2, -3, -4, -3, -3, -3] betrayal -2.8 0.74833 [-3, -4, -4, -2, -3, -2, -3, -3, -2, -2] trait -3.0 0.63246 [-2, -3, -3, -3, -4, -4, -3, -3, -2, -3] traida -3.0 0.63246 [-2, -3, -3, -3, -4, -4, -3, -3, -2, -3] betraying -2.5 0.67082 [-2, -2, -3, -2, -3, -2, -4, -2, -2, -3] betrays -2.5 0.67082 [-2, -3, -3, -2, -2, -2, -4, -2, -3, -2] millor 1.9 0.7 [2, 1, 2, 1, 1, 3, 2, 2, 3, 2] desviació -0.4 1.11355 [-1, -2, 0, -2, -1, 1, -1, 1, 0, 1] tendenciós -1.1 0.83066 [-2, -2, -1, -1, -1, -1, -1, 1, -2, -1] bruixa -2.8 0.87178 [-1, -4, -2, -4, -3, -2, -3, -3, -3, -3] bitched -2.6 1.0198 [-1, -3, -2, -3, -2, -1, -4, -3, -3, -4] bitcheries -2.3 0.78102 [-2, -2, -2, -4, -2, -2, -3, -1, -3, -2] bitchery -2.7 1.18743 [-2, -2, -4, -2, -4, -4, -1, -1, -3, -4] bitches -2.9 0.9434 [-2, -1, -3, -3, -2, -4, -4, -3, -3, -4] bitchier -2.0 0.63246 [-2, -3, -1, -2, -3, -1, -2, -2, -2, -2] bitchiest -3.0 0.7746 [-2, -4, -2, -3, -4, -3, -3, -4, -2, -3] bitchily -2.6 1.11355 [-4, -4, -2, -2, -1, -4, -1, -2, -3, -3] bitchiness -2.6 0.66332 [-3, -3, -2, -2, -3, -3, -1, -3, -3, -3] bitching -1.1 1.64012 [-2, 2, -2, -1, 2, -1, -2, -2, -3, -2] bitchy -2.3 1.00499 [-4, -1, -2, -3, -3, -2, -1, -1, -3, -3] amarg -1.8 0.4 [-2, -2, -2, -1, -2, -2, -1, -2, -2, -2] bitterbrush -0.2 0.74833 [0, 0, 0, 0, -2, 1, 0, 0, -1, 0] bitterbrushes -0.6 0.8 [-1, 0, -2, -1, -2, 0, 0, 0, 0, 0] bittered -1.8 1.07703 [-1, -1, -3, -1, -2, -4, -2, 0, -2, -2] bitterer -1.9 1.04403 [-1, -2, -3, -1, -1, -4, -3, -1, -2, -1] bitterest -2.3 1.41774 [-4, -4, -2, -1, 1, -2, -3, -3, -2, -3] bittering -1.2 0.87178 [0, 0, -1, -2, 0, -2, -1, -2, -2, -2] bitterish -1.6 0.8 [0, -2, -1, -1, -2, -2, -2, -1, -3, -2] amargament -2.0 0.63246 [-2, -2, -1, -1, -2, -2, -3, -2, -2, -3] bittern -0.2 0.6 [0, 0, -2, 0, 0, 0, 0, 0, 0, 0] bitterness -1.7 0.45826 [-2, -2, -1, -2, -1, -2, -1, -2, -2, -2] bitterns -0.4 1.11355 [0, 0, 0, -3, 0, 0, 0, 1, 0, -2] bitterroots -0.2 0.4 [0, 0, 0, -1, -1, 0, 0, 0, 0, 0] bitters -0.4 0.4899 [-1, -1, -1, 0, 0, 0, 0, -1, 0, 0] bittersweet -0.3 0.64031 [0, -1, 0, 0, 0, 0, 0, 0, -2, 0] bittersweetness -0.6 0.91652 [0, 0, 0, -2, 0, -2, 0, 0, -2, 0] bittersweets -0.2 0.9798 [-2, 1, 0, 0, 0, -2, 0, 0, 0, 1] bitterweeds -0.5 0.67082 [0, -2, 0, -1, -1, 0, 0, -1, 0, 0] estrafolari -1.3 1.00499 [-2, 0, 0, -2, 0, -1, -3, -2, -1, -2] blah -0.4 1.49666 [-2, -1, -1, -1, -1, -1, -1, 3, 2, -1] blam -0.2 1.16619 [-1, 0, 0, -1, -1, -2, -1, 1, 2, 1] blamable -1.8 0.4 [-2, -2, -2, -2, -1, -1, -2, -2, -2, -2] blamably -1.8 0.4 [-2, -2, -2, -2, -1, -1, -2, -2, -2, -2] culpar -1.4 1.42829 [-4, -2, -2, -1, -1, -1, -2, 2, -2, -1] culpat -2.1 0.53852 [-2, -2, -2, -2, -3, -2, -2, -2, -3, -1] blameful -1.7 0.45826 [-2, -2, -2, -2, -2, -2, -1, -1, -2, -1] blamefully -1.6 0.66332 [-1, -2, -1, -1, -2, -1, -1, -2, -2, -3] blameless 0.7 1.73494 [3, 1, 2, 3, -2, 1, -1, 1, 1, -2] blamelessly 0.9 1.37477 [2, 0, 2, 0, 1, -1, 1, 4, 0, 0] blamelessness 0.6 1.35647 [0, 2, 1, 2, 1, 0, 1, -3, 1, 1] blamer -2.1 0.83066 [-2, -2, -1, -2, -3, -3, -3, -1, -1, -3] blamers -2.0 0.63246 [-3, -2, -2, -3, -1, -2, -2, -1, -2, -2] blames -1.7 0.45826 [-2, -2, -1, -2, -2, -2, -2, -1, -1, -2] blameworthiness -1.6 0.66332 [-2, -2, -1, -2, -2, -1, -3, -1, -1, -1] blameworthy -2.3 0.78102 [-3, -3, -2, -2, -2, -1, -1, -3, -3, -3] blaming -2.2 0.6 [-2, -3, -1, -3, -2, -2, -3, -2, -2, -2] beneir 1.8 0.6 [3, 2, 2, 1, 2, 2, 1, 2, 2, 1] beneit 2.9 0.3 [2, 3, 3, 3, 3, 3, 3, 3, 3, 3] blesseder 2.0 0.63246 [3, 3, 2, 2, 1, 1, 2, 2, 2, 2] blessedest 2.8 0.87178 [2, 4, 1, 4, 3, 3, 2, 3, 3, 3] blessedly 1.7 1.1 [2, 2, 1, -1, 3, 2, 3, 1, 2, 2] blessedness 1.6 1.35647 [2, 2, 2, 2, 2, 3, 3, -1, -1, 2] blesser 2.6 0.66332 [1, 3, 2, 3, 3, 3, 2, 3, 3, 3] blessers 1.9 0.7 [2, 2, 1, 2, 2, 2, 3, 1, 3, 1] blesses 2.6 0.66332 [1, 3, 3, 3, 3, 3, 2, 3, 2, 3] blessing 2.2 1.07703 [3, 1, 0, 3, 1, 3, 2, 3, 3, 3] blessings 2.5 0.92195 [3, 3, 3, 2, 1, 3, 2, 3, 4, 1] cec -1.7 1.00499 [-4, -1, -1, -2, -1, -1, -3, -2, -1, -1] cega -1.7 1.00499 [-4, -1, -1, -2, -1, -1, -3, -2, -1, -1] bliss 2.7 0.78102 [3, 3, 3, 2, 1, 2, 4, 3, 3, 3] blissful 2.9 0.83066 [4, 4, 2, 3, 3, 3, 1, 3, 3, 3] blithe 1.2 1.16619 [2, 2, -1, 1, 1, 2, 2, 2, -1, 2] block -1.9 1.13578 [-3, -2, -1, -2, 0, 0, -3, -2, -3, -3] blockbuster 2.9 0.9434 [3, 4, 3, 2, 3, 4, 3, 2, 1, 4] bloquejat -1.1 1.13578 [-1, 0, 0, -1, -2, -1, -1, -4, -1, 0] blocking -1.6 0.91652 [-1, -1, -1, -1, -2, -2, -4, -1, -2, -1] blocks -0.9 1.13578 [-1, 0, -1, -2, -2, -2, -1, -1, 2, -1] bloody -1.9 0.7 [-2, -2, -2, 0, -2, -2, -3, -2, -2, -2] borrós -0.4 1.28062 [-1, -1, -1, -1, 2, -2, -1, 2, 0, -1] borrosa -0.4 1.28062 [-1, -1, -1, -1, 2, -2, -1, 2, 0, -1] borrut -0.4 1.28062 [-1, -1, -1, -1, 2, -2, -1, 2, 0, -1] borruda -0.4 1.28062 [-1, -1, -1, -1, 2, -2, -1, 2, 0, -1] bold 1.6 0.66332 [2, 2, 2, 2, 1, 2, 0, 2, 1, 2] bolder 1.2 0.6 [2, 1, 1, 1, 1, 2, 1, 2, 0, 1] boldest 1.6 1.11355 [1, 3, 2, 3, 0, 0, 2, 3, 1, 1] boldface 0.3 0.64031 [1, 0, 0, 0, 0, 0, 0, 2, 0, 0] boldfaced -0.1 1.22066 [0, 0, 0, 2, -1, -2, 2, -1, -1, 0] boldfaces 0.1 1.3 [0, 0, 0, 2, -2, -2, 2, 1, 0, 0] boldfacing 0.1 0.7 [0, 0, -1, 2, 0, 0, 0, 0, 0, 0] boldly 1.5 1.62788 [3, -2, -1, 1, 2, 3, 2, 3, 2, 2] boldness 1.5 1.0247 [0, 1, 3, 1, 2, 0, 3, 1, 2, 2] boldnesses 0.9 0.83066 [0, 0, 1, 0, 2, 1, 1, 2, 0, 2] bolds 1.3 0.78102 [2, 2, 1, 1, 0, 2, 0, 2, 1, 2] fracassar -2.2 0.87178 [-2, -2, -1, -3, -4, -3, -2, -1, -2, -2] bonus 2.5 0.67082 [2, 2, 2, 3, 4, 3, 2, 2, 3, 2] bonuses 2.6 0.91652 [2, 2, 3, 4, 3, 4, 3, 1, 2, 2] promoure 1.7 0.64031 [1, 1, 2, 2, 2, 3, 1, 1, 2, 2] impulsat 1.5 1.5 [-1, 1, 0, 2, 1, 2, 3, 3, 4, 0] boosting 1.4 0.91652 [1, 1, 3, 0, 2, 2, 0, 2, 1, 2] boosts 1.3 0.9 [1, 1, 1, 1, 3, 0, 1, 1, 3, 1] avorrir -1.0 0.44721 [-1, -2, 0, -1, -1, -1, -1, -1, -1, -1] boreal -0.3 0.9 [0, 0, 0, 0, 1, -2, 0, 0, -2, 0] borecole -0.2 0.74833 [1, 0, 0, 0, -1, -2, 0, 0, 0, 0] borecoles -0.3 0.45826 [-1, 0, 0, 0, 0, 0, -1, 0, -1, 0] avorrit -1.1 0.9434 [-2, -1, -2, -1, 0, 0, -3, 0, -1, -1] avorrida -1.1 0.9434 [-2, -1, -2, -1, 0, 0, -3, 0, -1, -1] fastic -1.3 0.45826 [-1, -1, -1, -1, -2, -1, -1, -2, -2, -1] boredoms -1.1 0.83066 [-1, -1, -1, -2, 1, -1, -2, -1, -1, -2] boreen 0.1 0.3 [0, 0, 0, 0, 0, 1, 0, 0, 0, 0] boreens 0.2 0.6 [0, 0, 0, 2, 0, 0, 0, 0, 0, 0] boreholes -0.2 0.74833 [0, 0, 0, 0, 0, 1, -1, 0, -2, 0] fastigos -0.4 0.4899 [0, -1, 0, 0, -1, -1, 0, 0, 0, -1] borers -1.2 0.9798 [-1, 0, -2, -1, -1, -3, -2, 0, -2, 0] bores -1.3 0.78102 [-2, -1, -2, -1, -1, -1, -3, 0, -1, -1] borescopes -0.1 0.83066 [-1, 0, -1, 2, 0, 0, 0, 0, -1, 0] boresome -1.3 0.45826 [-2, -1, -1, -1, -1, -1, -2, -1, -2, -1] boring -1.3 0.45826 [-1, -1, -1, -1, -1, -2, -1, -1, -2, -2] bother -1.4 0.91652 [-1, -1, -1, -2, -3, -3, -1, -1, -1, 0] botheration -1.7 0.64031 [-1, -1, -1, -2, -2, -1, -2, -2, -2, -3] botherations -1.3 0.64031 [-2, -2, -2, -1, -2, 0, -1, -1, -1, -1] bothered -1.3 0.45826 [-1, -1, -2, -1, -2, -1, -1, -1, -1, -2] bothering -1.6 0.4899 [-2, -1, -2, -2, -1, -1, -1, -2, -2, -2] bothers -0.8 0.9798 [-1, -2, -1, -1, 2, -1, -1, -1, -1, -1] bothersome -1.3 0.45826 [-2, -1, -1, -1, -1, -1, -2, -2, -1, -1] borinot -1.3 0.45826 [-2, -1, -1, -1, -1, -1, -2, -2, -1, -1] boicot -1.3 0.45826 [-2, -1, -1, -1, -1, -2, -1, -1, -2, -1] boycotted -1.7 0.64031 [-1, -2, -2, -3, -1, -1, -2, -2, -2, -1] boycotting -1.7 0.64031 [-2, -2, -2, 0, -2, -1, -2, -2, -2, -2] boycotts -1.4 0.91652 [-2, -2, -2, -2, -1, -2, -1, 1, -1, -2] brainwashing -1.5 1.28452 [-2, -2, -2, -3, -1, -2, 2, -1, -2, -2] valent 2.4 0.8 [2, 3, 4, 3, 1, 3, 2, 2, 2, 2] desafiar 2.4 0.8 [2, 3, 4, 3, 1, 3, 2, 2, 2, 2] braved 1.9 0.83066 [3, 1, 3, 1, 1, 2, 3, 2, 2, 1] bravely 2.3 0.78102 [1, 3, 2, 2, 2, 4, 2, 2, 2, 3] braver 2.4 0.8 [3, 2, 2, 1, 4, 2, 3, 3, 2, 2] braveries 2.0 1.0 [2, 4, 2, 3, 1, 1, 2, 3, 1, 1] bravery 2.2 0.74833 [1, 2, 2, 2, 3, 2, 3, 3, 1, 3] braves 1.9 0.83066 [3, 1, 3, 1, 2, 2, 3, 2, 1, 1] bravest 2.3 0.64031 [1, 3, 3, 2, 3, 2, 3, 2, 2, 2] breathtaking 2.0 1.26491 [3, 1, 3, 2, -1, 1, 2, 3, 3, 3] subornar -0.8 1.98997 [-3, 0, -1, -2, -1, -2, -4, 1, 3, 1] intel·ligent 1.9 0.7 [2, 2, 1, 2, 1, 2, 1, 3, 3, 2] brighten 1.9 0.7 [2, 1, 1, 2, 3, 2, 1, 2, 2, 3] brightened 2.1 0.83066 [2, 3, 1, 1, 2, 2, 3, 1, 3, 3] brightener 1.0 1.18322 [0, 0, 0, 1, 0, 1, 2, 0, 3, 3] brighteners 1.0 0.89443 [0, 1, 0, 1, 1, 3, 0, 1, 2, 1] brightening 2.5 0.92195 [2, 3, 2, 1, 2, 3, 4, 4, 2, 2] brightens 1.5 0.5 [2, 1, 1, 2, 2, 1, 2, 2, 1, 1] brighter 1.6 0.66332 [1, 1, 1, 2, 2, 2, 1, 2, 1, 3] brightest 3.0 0.63246 [3, 3, 2, 3, 4, 3, 2, 3, 4, 3] brightly 1.5 0.67082 [2, 3, 1, 2, 1, 1, 2, 1, 1, 1] brightness 1.6 0.91652 [2, 2, 1, 1, 1, 3, 3, 0, 2, 1] brightnesses 1.4 0.91652 [2, 3, 1, 2, 1, 1, 0, 0, 2, 2] brights 0.4 0.66332 [0, 0, 2, 0, 0, 1, 0, 0, 1, 0] brightwork 1.1 0.83066 [1, 0, 1, 2, 1, 0, 3, 1, 1, 1] brilliance 2.9 0.83066 [4, 3, 2, 4, 4, 3, 2, 3, 2, 2] brilliances 2.9 0.83066 [3, 4, 3, 4, 4, 2, 3, 2, 2, 2] brilliancies 2.3 1.18743 [1, 4, 1, 3, 3, 2, 1, 3, 4, 1] brilliancy 2.6 1.0198 [4, 3, 2, 4, 2, 3, 1, 3, 1, 3] brillant 2.8 0.6 [2, 3, 3, 2, 3, 3, 4, 2, 3, 3] brilliantine 0.8 1.16619 [-1, 3, 1, 0, 1, 0, 2, 0, 2, 0] brilliantines 2.0 1.34164 [0, 1, 4, 2, 3, 1, 3, 0, 3, 3] brilliantly 3.0 0.44721 [3, 2, 3, 3, 3, 3, 3, 3, 4, 3] brilliants 1.9 0.83066 [3, 1, 2, 1, 2, 1, 3, 2, 1, 3] brisk 0.6 0.8 [0, 0, 0, 0, 1, 1, 0, 2, 0, 2] trencar -1.8 0.4 [-2, -2, -2, -2, -1, -2, -2, -1, -2, -2] trencat -2.1 0.53852 [-2, -2, -2, -2, -3, -2, -1, -3, -2, -2] trencada -2.1 0.53852 [-2, -2, -2, -2, -3, -2, -1, -3, -2, -2] brooding 0.1 1.3 [3, 0, -1, -1, -1, 1, 1, -1, 1, -1] brutal -3.1 0.7 [-3, -3, -4, -2, -3, -4, -3, -4, -3, -2] brutalise -2.7 1.1 [-4, -3, -3, -4, -3, -2, -2, -3, 0, -3] maltractat -2.9 0.83066 [-3, -3, -2, -3, -3, -4, -4, -1, -3, -3] brutalises -3.2 0.4 [-3, -3, -3, -3, -3, -4, -4, -3, -3, -3] brutalising -2.8 0.74833 [-3, -3, -4, -3, -2, -3, -3, -3, -1, -3] maltractaments -2.6 1.0198 [-4, -2, -2, -4, -2, -4, -2, -3, -1, -2] brutalitat -3.0 0.63246 [-2, -3, -4, -2, -3, -3, -3, -4, -3, -3] brutalization -2.1 2.16564 [-3, -2, -4, -2, -4, -4, 2, -3, 2, -3] brutalizations -2.3 0.64031 [-2, -2, -3, -2, -1, -3, -3, -2, -2, -3] brutalize -2.9 0.7 [-3, -4, -3, -3, -2, -2, -3, -4, -2, -3] maltractada -2.4 0.4899 [-3, -2, -2, -3, -2, -2, -3, -3, -2, -2] brutalizes -3.2 0.6 [-4, -4, -3, -2, -3, -4, -3, -3, -3, -3] brutalizing -3.4 0.66332 [-4, -3, -4, -3, -4, -4, -3, -4, -2, -3] brutalment -3.0 0.44721 [-3, -3, -3, -3, -3, -3, -3, -2, -3, -4] abusó -3.1 0.9434 [-4, -4, -4, -2, -2, -4, -4, -3, -2, -2] abusona -3.1 0.9434 [-4, -4, -4, -2, -2, -4, -4, -3, -2, -2] bestiesa -2.8 0.6 [-3, -3, -3, -3, -3, -4, -2, -3, -2, -2] bestieses -2.8 0.6 [-3, -3, -3, -3, -3, -4, -2, -3, -2, -2] aprofitat -2.2 1.6 [-2, -3, -3, -4, -2, -1, 2, -3, -3, -3] abusar -2.9 0.7 [-3, -2, -3, -2, -4, -2, -3, -3, -4, -3] abusant -2.9 0.7 [-3, -2, -3, -2, -4, -2, -3, -3, -4, -3] pesat -1.6 0.8 [-3, -1, -1, -1, -3, -1, -1, -2, -2, -1] pesada -1.6 0.8 [-3, -1, -1, -1, -3, -1, -1, -2, -2, -1] animat 0.9 0.83066 [0, 1, 1, 2, 1, 0, 0, 2, 0, 2] carrega -1.9 0.53852 [-2, -2, -1, -2, -3, -2, -1, -2, -2, -2] burdened -1.7 0.45826 [-2, -2, -2, -2, -1, -2, -1, -2, -2, -1] burdener -1.3 0.45826 [-1, -1, -2, -1, -1, -1, -2, -1, -2, -1] burdeners -1.7 1.00499 [-2, -2, -2, -1, -3, -2, 0, 0, -2, -3] burdening -1.4 0.66332 [-2, -1, -2, -2, -1, -1, -1, 0, -2, -2] burdens -1.5 0.5 [-2, -2, -1, -1, -2, -1, -1, -1, -2, -2] burdensome -1.8 0.9798 [-1, -1, -3, -2, -1, -2, -2, -1, -4, -1] bwahaha 0.4 1.0198 [0, 1, 0, 1, 0, 2, -1, -1, 2, 0] bwahahah 2.5 0.92195 [3, 4, 2, 2, 2, 3, 1, 2, 2, 4] tranquil 1.3 0.78102 [1, 1, 0, 1, 2, 3, 2, 1, 1, 1] calmative 1.1 0.9434 [3, 2, -1, 1, 1, 1, 1, 1, 1, 1] calmatives 0.5 0.80623 [-1, 1, 0, 1, 0, 0, 1, 2, 0, 1] calmed 1.6 0.4899 [2, 2, 2, 1, 1, 1, 2, 1, 2, 2] calmer 1.5 0.67082 [1, 2, 3, 1, 1, 1, 2, 1, 2, 1] calmest 1.6 0.8 [3, 2, 2, 2, 1, 1, 0, 2, 1, 2] calming 1.7 0.78102 [2, 1, 3, 2, 2, 1, 3, 1, 1, 1] calmly 1.3 0.9 [0, 0, 1, 3, 2, 2, 1, 1, 2, 1] calmness 1.7 0.9 [1, 1, 1, 2, 2, 2, 1, 4, 1, 2] calmnesses 1.6 0.4899 [1, 2, 1, 2, 1, 2, 2, 2, 1, 2] calmodulin 0.2 0.4 [0, 0, 0, 0, 0, 0, 1, 0, 0, 1] calms 1.3 0.64031 [2, 1, 1, 2, 0, 1, 1, 2, 2, 1] can't stand -2.0 0.63246 [-2, -2, -2, -1, -1, -2, -3, -2, -2, -3] cancel·lar -1.0 0.63246 [-2, -1, -1, -1, -1, 0, -1, 0, -2, -1] cancel·lat -1.0 0.44721 [-1, -1, -1, -1, 0, -1, -1, -2, -1, -1] cancelling -0.8 0.74833 [0, 0, -1, 0, -1, -1, 0, -2, -1, -2] cancels -0.9 0.53852 [0, -1, 0, -1, -1, -1, -1, -1, -2, -1] cancer -3.4 0.8 [-2, -4, -3, -4, -4, -2, -3, -4, -4, -4] capable 1.6 0.4899 [1, 2, 2, 2, 1, 1, 2, 2, 1, 2] captivat 1.6 0.4899 [2, 1, 2, 2, 2, 2, 1, 2, 1, 1] importa 2.2 0.74833 [2, 1, 2, 1, 2, 2, 3, 3, 3, 3] cared 1.8 0.74833 [1, 2, 1, 3, 1, 2, 2, 2, 3, 1] carefree 1.7 0.64031 [1, 1, 2, 2, 2, 2, 1, 1, 2, 3] careful 0.6 1.11355 [3, 0, 0, 0, 1, 0, -1, 2, 1, 0] curossament 0.5 0.67082 [1, 0, 1, 1, 0, 1, 0, 1, 1, -1] carefulness 2.0 0.44721 [3, 2, 2, 1, 2, 2, 2, 2, 2, 2] descuidat -1.5 0.5 [-2, -1, -1, -2, -2, -1, -2, -2, -1, -1] descuidada -1.5 0.5 [-2, -1, -1, -2, -2, -1, -2, -2, -1, -1] carelessly -1.0 0.44721 [-1, -1, -1, -2, -1, 0, -1, -1, -1, -1] carelessness -1.4 0.4899 [-2, -1, -1, -2, -1, -2, -1, -1, -2, -1] carelessnesses -1.6 1.11355 [-4, -2, -2, -3, -1, 0, -1, -1, -1, -1] cares 2.0 0.7746 [2, 3, 1, 3, 1, 2, 2, 2, 3, 1] caring 2.2 0.4 [2, 3, 2, 2, 2, 2, 2, 3, 2, 2] casual 0.8 0.74833 [1, 1, 0, 1, 0, 2, 0, 1, 2, 0] casually 0.7 1.00499 [1, 0, 0, 0, 1, 0, 0, 3, 2, 0] casualty -2.4 0.91652 [-4, -3, -3, -2, -1, -2, -3, -1, -2, -3] catastrofe -3.4 0.4899 [-3, -3, -3, -4, -4, -3, -3, -3, -4, -4] catastrofic -2.2 2.22711 [-3, -2, -4, -4, -4, -3, -2, -4, 2, 2] prudent -0.4 0.66332 [0, 1, -1, 0, 0, 0, -1, -1, -1, -1] celebrate 2.7 1.00499 [4, 4, 3, 2, 4, 2, 2, 2, 3, 1] celebrated 2.7 0.78102 [2, 3, 3, 2, 3, 4, 3, 3, 1, 3] celebrates 2.7 0.64031 [2, 3, 3, 2, 2, 3, 3, 3, 4, 2] celebrating 2.7 0.64031 [3, 3, 4, 2, 2, 2, 3, 3, 2, 3] censor -2.0 1.34164 [0, -3, -2, -3, -3, 0, -4, -1, -1, -3] censurat -0.6 1.68523 [-1, -1, -1, 2, -3, -2, -1, -1, -1, 3] censors -1.2 1.07703 [-1, 0, -3, 0, -1, 0, -1, -2, -1, -3] segur 1.1 0.7 [1, 0, 2, 0, 2, 2, 1, 1, 1, 1] segura 1.1 0.7 [1, 0, 2, 0, 2, 2, 1, 1, 1, 1] certament 1.4 1.0198 [3, 2, 0, 1, 3, 1, 0, 1, 1, 2] certeses 0.9 1.44568 [0, -2, 4, 0, 1, 1, 1, 1, 2, 1] certament 1.0 0.89443 [2, 1, 0, 1, 0, 0, 2, 2, 2, 0] chagrin -1.9 0.53852 [-1, -2, -3, -2, -1, -2, -2, -2, -2, -2] chagrined -1.4 1.2 [-1, -2, 2, -1, -2, -2, -2, -2, -2, -2] repte 0.3 1.00499 [1, 0, -1, 1, 1, -1, 1, 0, 2, -1] desafiament 0.3 1.00499 [1, 0, -1, 1, 1, -1, 1, 0, 2, -1] challenged -0.4 1.62481 [0, -2, 1, -1, -3, -1, 3, -1, 1, -1] challenger 0.5 1.43178 [0, 0, 2, -1, -2, 1, 3, 0, 2, 0] challengers 0.4 1.56205 [0, -2, -1, 1, 1, 2, 3, 2, -1, -1] challenges 0.3 1.48661 [0, -1, 2, -1, -2, 0, 3, 0, 2, 0] challenging 0.6 0.91652 [0, 0, 0, 1, 1, -1, 0, 2, 2, 1] challengingly -0.6 1.68523 [0, -1, -2, 1, -3, 2, -2, -1, 2, -2] campio 2.1 0.83066 [2, 2, 2, 3, 2, 3, 2, 0, 3, 2] campiona 2.1 0.83066 [2, 2, 2, 3, 2, 3, 2, 0, 3, 2] champac -0.2 0.6 [0, 0, -2, 0, 0, 0, 0, 0, 0, 0] champagne 1.2 1.07703 [1, 2, 2, 3, 0, 2, 0, 0, 2, 0] champagnes 0.5 0.92195 [0, 0, 0, 0, 0, 1, 1, 3, 0, 0] campanya 0.2 0.6 [0, 0, 0, 0, 2, 0, 0, 0, 0, 0] campanyes 0.5 0.67082 [1, 0, 0, 0, 0, 0, 0, 1, 2, 1] champaks -0.2 0.6 [0, 0, 0, 0, 0, 0, -2, 0, 0, 0] champed 1.0 0.63246 [1, 1, 2, 1, 1, 2, 1, 0, 0, 1] champer -0.1 0.53852 [0, -1, 1, 0, 0, 0, 0, -1, 0, 0] champers 0.5 0.67082 [1, 0, 0, 0, 0, 0, 0, 1, 1, 2] champerties -0.1 0.83066 [0, -1, 1, 1, 0, 0, 0, 0, -2, 0] champertous 0.3 0.78102 [0, 0, 0, 1, -1, 2, 1, 0, 0, 0] champerty -0.2 1.32665 [-2, -1, 0, -1, 0, 0, 0, -2, 2, 2] champignon 0.4 0.8 [0, 0, 0, 0, 0, 2, 0, 2, 0, 0] champignons 0.2 0.6 [0, 2, 0, 0, 0, 0, 0, 0, 0, 0] champing 0.7 1.34536 [0, 2, 0, 3, 1, 1, 2, 0, -2, 0] champion 2.9 0.83066 [3, 2, 3, 4, 4, 3, 2, 2, 4, 2] championed 1.2 1.53623 [2, 1, 3, 1, 1, -3, 2, 2, 1, 2] championing 1.8 0.9798 [1, 3, 2, 0, 3, 1, 2, 2, 1, 3] champions 2.4 1.42829 [4, 0, 0, 3, 1, 3, 4, 3, 3, 3] championship 1.9 1.04403 [3, 1, 1, 3, 2, 1, 3, 3, 0, 2] championships 2.2 0.74833 [2, 2, 1, 2, 3, 2, 4, 2, 2, 2] champs 1.8 0.4 [2, 2, 2, 2, 1, 2, 1, 2, 2, 2] champy 1.0 1.0 [3, 0, 0, 0, 0, 2, 1, 2, 1, 1] casualitat 1.0 0.7746 [1, 1, 0, 0, 0, 2, 1, 2, 1, 2] atzar 1.0 0.7746 [1, 1, 0, 0, 0, 2, 1, 2, 1, 2] oportunitat 1.0 0.7746 [1, 1, 0, 0, 0, 2, 1, 2, 1, 2] probabilitat 1.0 0.7746 [1, 1, 0, 0, 0, 2, 1, 2, 1, 2] oportinitats 0.8 0.4 [0, 1, 1, 0, 1, 1, 1, 1, 1, 1] probabilitats 0.8 0.4 [0, 1, 1, 0, 1, 1, 1, 1, 1, 1] caos -2.7 0.9 [-2, -2, -3, -1, -4, -3, -3, -2, -3, -4] caotic -2.2 1.4 [-3, -2, -1, -2, -3, 1, -2, -2, -4, -4] carregat -0.8 0.87178 [-1, -2, -2, -1, -1, 0, -1, 1, 0, -1] charges -1.1 0.7 [-2, -2, -2, -1, -1, 0, -1, -1, 0, -1] charitable 1.7 0.64031 [1, 2, 1, 2, 2, 1, 2, 1, 3, 2] charitableness 1.9 0.9434 [3, 1, 1, 3, 1, 3, 3, 2, 1, 1] charitablenesses 1.6 1.74356 [2, 2, 3, 4, 1, -1, -2, 3, 2, 2] charitably 1.4 0.66332 [1, 2, 1, 2, 2, 1, 0, 1, 2, 2] charities 2.2 0.6 [3, 3, 2, 2, 1, 2, 2, 3, 2, 2] charity 1.8 0.87178 [1, 3, 2, 2, 2, 1, 2, 0, 2, 3] encant 1.7 0.78102 [3, 1, 1, 3, 2, 2, 1, 1, 1, 2] atractiu 1.7 0.78102 [3, 1, 1, 3, 2, 2, 1, 1, 1, 2] encisador 2.0 0.63246 [3, 1, 2, 2, 2, 3, 1, 2, 2, 2] encisadora 2.0 0.63246 [3, 1, 2, 2, 2, 3, 1, 2, 2, 2] charmer 1.9 0.53852 [3, 2, 2, 2, 2, 2, 1, 1, 2, 2] charmers 2.1 0.83066 [2, 1, 2, 2, 4, 3, 2, 1, 2, 2] charmeuse 0.3 0.78102 [0, 0, 0, 1, 0, 2, 1, 0, -1, 0] charmeuses 0.4 0.66332 [0, 0, 1, 0, 1, 0, 0, 0, 0, 2] charming 2.8 0.4 [3, 3, 3, 3, 3, 3, 2, 3, 2, 3] charminger 1.5 0.67082 [2, 3, 1, 2, 1, 1, 2, 1, 1, 1] charmingest 2.4 0.66332 [2, 3, 3, 1, 3, 2, 3, 3, 2, 2] charmingly 2.2 0.87178 [2, 2, 2, 1, 2, 2, 3, 3, 4, 1] charmless -1.8 0.87178 [-3, -1, -3, -1, -1, -1, -2, -1, -3, -2] charms 1.9 0.7 [1, 2, 3, 2, 1, 2, 3, 1, 2, 2] chastise -2.5 0.92195 [-4, -3, -2, -1, -4, -3, -2, -2, -2, -2] chastised -2.2 1.16619 [-2, -3, -2, -4, -1, -1, -3, 0, -3, -3] chastises -1.7 1.61555 [-3, -3, -3, -1, 1, -2, 1, -1, -2, -4] chastising -1.7 0.78102 [-2, -3, -2, -2, -2, 0, -1, -1, -2, -2] fer trampa -2.0 0.7746 [-2, -3, -3, -2, -2, -1, -1, -1, -2, -3] cheated -2.3 0.64031 [-2, -4, -2, -2, -2, -2, -3, -2, -2, -2] cheater -2.5 0.67082 [-2, -4, -2, -3, -2, -2, -3, -2, -3, -2] cheaters -1.9 0.83066 [-2, -2, -2, -1, -1, -4, -2, -1, -2, -2] cheating -2.6 0.91652 [-2, -3, -3, -2, -4, -4, -3, -2, -1, -2] cheats -1.8 0.6 [-3, -1, -2, -1, -2, -1, -2, -2, -2, -2] cheer 2.3 0.64031 [2, 1, 2, 2, 2, 3, 3, 3, 2, 3] cheered 2.3 0.78102 [2, 3, 3, 4, 2, 1, 2, 2, 2, 2] cheerer 1.7 0.45826 [1, 2, 2, 2, 1, 1, 2, 2, 2, 2] cheerers 1.8 0.87178 [2, 2, 3, 2, 1, 2, 0, 1, 3, 2] cheerful 2.5 0.67082 [3, 2, 3, 2, 2, 2, 4, 2, 3, 2] cheerfuller 1.9 0.83066 [3, 3, 2, 3, 2, 1, 1, 2, 1, 1] cheerfullest 3.2 0.87178 [4, 4, 4, 4, 3, 2, 2, 3, 2, 4] cheerfully 2.1 0.83066 [3, 2, 2, 2, 1, 3, 1, 3, 1, 3] cheerfulness 2.1 0.9434 [3, 2, 1, 2, 3, 4, 1, 2, 1, 2] cheerier 2.6 0.4899 [2, 2, 3, 3, 2, 3, 3, 2, 3, 3] cheeriest 2.2 0.6 [3, 2, 3, 1, 2, 2, 3, 2, 2, 2] cheerily 2.5 0.67082 [3, 3, 2, 3, 2, 4, 2, 2, 2, 2] cheeriness 2.5 0.67082 [3, 2, 4, 2, 3, 2, 3, 2, 2, 2] cheering 2.3 0.64031 [3, 3, 2, 1, 3, 2, 2, 2, 3, 2] cheerio 1.2 0.6 [2, 1, 1, 1, 2, 1, 1, 1, 2, 0] cheerlead 1.7 0.78102 [1, 2, 0, 2, 2, 2, 2, 3, 1, 2] cheerleader 0.9 0.9434 [1, 1, 0, 2, 1, 0, 0, 1, 0, 3] cheerleaders 1.2 1.07703 [2, 0, 0, 1, 1, 0, 3, 3, 1, 1] cheerleading 1.2 1.07703 [2, 2, 0, 0, 1, 0, 3, 2, 0, 2] cheerleads 1.2 1.07703 [2, 3, 0, 3, 1, 0, 0, 1, 1, 1] cheerled 1.5 1.11803 [0, 2, 1, 4, 2, 2, 2, 1, 1, 0] cheerless -1.7 1.1 [-2, -3, -2, -2, -3, -2, -1, -1, 1, -2] cheerlessly -0.8 1.98997 [-2, 4, -1, -2, -1, -2, -2, -2, 2, -2] cheerlessness -1.7 1.48661 [-2, -1, -2, -3, -2, -4, -1, 2, -2, -2] cheerly 2.4 0.66332 [2, 2, 3, 2, 2, 3, 4, 2, 2, 2] cheers 2.1 1.3 [2, 2, 1, 3, 2, 3, 3, 4, -1, 2] cheery 2.6 0.66332 [3, 2, 2, 3, 2, 3, 4, 2, 3, 2] cherish 1.6 1.49666 [0, 3, 3, 3, 2, 2, 2, 1, -2, 2] cherishable 2.0 1.41421 [-2, 2, 2, 2, 3, 2, 3, 3, 2, 3] cherished 2.3 0.64031 [3, 2, 2, 3, 2, 2, 1, 3, 2, 3] cherisher 2.2 0.4 [2, 2, 3, 2, 2, 2, 2, 3, 2, 2] cherishers 1.9 0.7 [3, 3, 2, 2, 1, 1, 2, 2, 2, 1] cherishes 2.2 0.74833 [2, 2, 3, 2, 2, 2, 2, 4, 2, 1] cherishing 2.0 0.7746 [3, 3, 2, 2, 1, 2, 1, 3, 2, 1] chic 1.1 1.3 [1, 2, 2, -2, 2, 0, 1, 1, 3, 1] childish -1.2 0.74833 [-1, -1, -2, -3, -1, 0, -1, -1, -1, -1] chilling -0.1 1.92094 [3, -2, 0, 1, -2, -2, -1, -2, 1, 3] ofergar-se -2.5 0.92195 [-1, -2, -3, -3, -2, -4, -2, -4, -2, -2] atragantar-se -2.5 0.92195 [-1, -2, -3, -3, -2, -4, -2, -4, -2, -2] atragantar -2.5 0.92195 [-1, -2, -3, -3, -2, -4, -2, -4, -2, -2] ofegat -2.1 1.3 [-4, -3, 0, -2, -1, -3, -3, -2, 0, -3] chokes -2.0 0.89443 [-4, -3, -1, -2, -1, -2, -2, -2, -1, -2] choking -2.0 1.26491 [-4, -2, -2, -3, -2, -2, -3, -1, 1, -2] chuckle 1.7 0.45826 [2, 1, 2, 2, 2, 2, 1, 1, 2, 2] chuckled 1.2 0.9798 [2, 2, 1, 1, 2, 0, 1, 2, -1, 2] chucklehead -1.9 0.53852 [-2, -2, -1, -3, -2, -2, -2, -2, -1, -2] chuckleheaded -1.3 1.84662 [-3, -4, -2, 0, 3, -1, -2, 0, -2, -2] chuckleheads -1.1 0.9434 [-1, -2, 0, -1, -1, -3, 0, 0, -2, -1] chuckler 0.8 1.07703 [2, 1, -1, 0, 2, 1, 1, 2, -1, 1] chucklers 1.2 0.87178 [1, 1, 2, 3, 1, 0, 1, 0, 2, 1] chuckles 1.1 1.13578 [2, 2, -1, 1, 2, 1, 1, 2, -1, 2] chucklesome 1.1 0.53852 [1, 1, 2, 1, 1, 1, 0, 2, 1, 1] chuckling 1.4 0.4899 [1, 2, 1, 2, 1, 1, 2, 2, 1, 1] chucklingly 1.2 0.4 [1, 1, 1, 1, 2, 1, 1, 1, 2, 1] clarifies 0.9 1.13578 [-2, 1, 0, 2, 1, 2, 2, 1, 1, 1] clarity 1.7 0.78102 [2, 1, 2, 3, 3, 1, 1, 2, 1, 1] classy 1.9 0.53852 [1, 2, 2, 1, 3, 2, 2, 2, 2, 2] clar 1.7 0.78102 [3, 1, 2, 1, 2, 1, 3, 2, 1, 1] net 1.7 0.78102 [3, 1, 2, 1, 2, 1, 3, 2, 1, 1] cleaner 0.7 0.78102 [1, 0, 1, 0, 0, 0, 2, 1, 2, 0] transparent 1.6 1.2 [2, 1, 1, 0, 3, 1, 2, 4, 2, 0] aclarit 0.4 0.4899 [0, 0, 1, 1, 0, 0, 0, 0, 1, 1] clarament 1.7 0.78102 [2, 2, 2, 2, 1, 2, 0, 2, 1, 3] clears 0.3 0.78102 [0, 1, 0, 0, 0, -1, 1, 2, 0, 0] llest 2.0 0.7746 [2, 1, 2, 2, 2, 1, 3, 1, 3, 3] llesta 2.0 0.7746 [2, 1, 2, 2, 2, 1, 3, 1, 3, 3] inteligent 2.0 0.7746 [2, 1, 2, 2, 2, 1, 3, 1, 3, 3] cleverer 2.0 0.44721 [2, 2, 2, 3, 2, 2, 1, 2, 2, 2] cleverest 2.6 0.91652 [4, 3, 2, 2, 4, 3, 2, 1, 2, 3] cleverish 1.0 1.18322 [1, 1, 1, 1, 1, 1, 2, 1, -2, 3] cleverly 2.3 0.45826 [2, 3, 2, 2, 2, 3, 2, 2, 3, 2] cleverness 2.3 0.9 [2, 4, 2, 2, 1, 3, 3, 3, 1, 2] clevernesses 1.4 0.66332 [1, 1, 1, 2, 2, 2, 2, 0, 2, 1] clouded -0.2 0.9798 [-2, 0, 2, 0, 0, -1, 0, -1, 0, 0] clueless -1.5 0.5 [-1, -2, -1, -2, -2, -1, -1, -1, -2, -2] cock -0.6 1.49666 [0, 0, -4, 0, 0, 1, 0, -3, 0, 0] cocksucker -3.1 0.83066 [-3, -4, -2, -2, -4, -4, -4, -2, -3, -3] llepaculs -3.1 0.83066 [-3, -4, -2, -2, -4, -4, -4, -2, -3, -3] cocksuckers -2.6 1.42829 [-4, -3, -4, -3, -3, 1, -3, -1, -3, -3] lamebotas -2.6 1.42829 [-4, -3, -4, -3, -3, 1, -3, -1, -3, -3] cocky -0.5 1.0247 [2, 0, -1, 0, -1, -2, 0, -1, -1, -1] coerced -1.5 0.67082 [-1, -2, -2, -2, -1, 0, -1, -2, -2, -2] collapse -2.2 0.87178 [-3, -1, -2, -4, -3, -2, -2, -2, -1, -2] collapsed -1.1 1.64012 [-1, -2, -2, -1, -2, -2, 2, 2, -3, -2] collapses -1.2 0.87178 [-2, -1, -2, 0, -2, 0, 0, -2, -1, -2] collapsing -1.2 0.6 [-1, -1, -2, -2, -2, -1, 0, -1, -1, -1] collide -0.3 1.61555 [-3, 0, -1, 3, 0, -1, -1, 2, -1, -1] collides -1.1 1.22066 [-2, -2, -1, -1, 0, -2, 2, -2, -1, -2] colliding -0.5 1.36015 [-2, 2, -1, -1, 0, -1, -2, 2, -1, -1] collision -1.5 0.67082 [-1, -1, -2, -1, -2, -1, -1, -3, -2, -1] collisions -1.1 0.7 [0, -2, -1, 0, -1, -1, -2, -2, -1, -1] colluding -1.2 1.32665 [-1, -1, -2, -2, 0, -3, 2, -2, -1, -2] combat -1.4 1.0198 [0, -2, 0, -2, -2, -2, -1, -3, 0, -2] combats -0.8 1.16619 [0, -2, -3, -1, 0, 0, 0, -1, 1, -2] comediant 1.6 1.0198 [1, 0, 2, 3, 2, 0, 3, 1, 2, 2] comediants 1.2 1.16619 [0, 0, 0, 2, 3, 1, 3, 2, 0, 1] comedic 1.7 0.64031 [2, 1, 1, 3, 1, 2, 2, 2, 1, 2] comedically 2.1 0.7 [3, 2, 2, 1, 2, 3, 3, 2, 1, 2] comedienne 0.6 0.66332 [0, 2, 1, 0, 1, 1, 0, 1, 0, 0] comediennes 1.6 1.11355 [2, 1, 3, 0, 0, 3, 1, 1, 2, 3] comedies 1.7 1.00499 [0, 2, 1, 3, 3, 3, 1, 1, 2, 1] comedo 0.3 0.9 [0, 0, 0, 0, -1, 0, 2, 0, 2, 0] comedones -0.8 0.9798 [0, 0, 0, -1, 0, -3, 0, -1, -1, -2] comedown -0.8 1.07703 [-1, -1, -1, 0, -2, -1, 2, -1, -2, -1] comedowns -0.9 0.53852 [-1, -1, -1, -1, 0, -2, 0, -1, -1, -1] comedy 1.5 0.67082 [1, 1, 2, 1, 3, 2, 1, 1, 2, 1] comfort 1.5 0.67082 [1, 3, 1, 2, 1, 1, 2, 1, 1, 2] comoditat 1.5 0.67082 [1, 3, 1, 2, 1, 1, 2, 1, 1, 2] comfortable 2.3 0.64031 [1, 2, 3, 2, 2, 3, 3, 3, 2, 2] comfortableness 1.3 1.48661 [4, 2, 2, 3, 1, 1, 1, -1, -1, 1] comfortably 1.8 0.74833 [1, 2, 2, 1, 3, 3, 1, 2, 1, 2] comforted 1.8 0.6 [2, 2, 2, 0, 2, 2, 2, 2, 2, 2] comforter 1.9 0.53852 [2, 3, 2, 2, 2, 1, 2, 2, 2, 1] comforters 1.2 0.6 [2, 1, 0, 2, 1, 1, 2, 1, 1, 1] comforting 1.7 0.64031 [1, 2, 1, 1, 2, 2, 2, 3, 2, 1] comfortingly 1.7 0.45826 [1, 2, 1, 2, 2, 1, 2, 2, 2, 2] comfortless -1.8 0.6 [-3, -2, -1, -2, -1, -2, -1, -2, -2, -2] comforts 2.1 0.7 [3, 1, 3, 1, 2, 2, 3, 2, 2, 2] commend 1.9 0.7 [1, 2, 2, 1, 2, 1, 2, 3, 2, 3] commended 1.9 0.9434 [1, 3, 2, 3, 2, 2, 0, 1, 3, 2] cometre 1.2 0.87178 [1, 0, 2, 2, 0, 0, 2, 2, 1, 2] compromis 1.6 0.91652 [3, 1, 2, 0, 3, 1, 2, 1, 2, 1] promesa 1.6 0.91652 [3, 1, 2, 0, 3, 1, 2, 1, 2, 1] compromisos 0.5 0.92195 [1, 3, 0, 0, 0, 0, 0, 0, 0, 1] promeses 0.5 0.92195 [1, 3, 0, 0, 0, 0, 0, 0, 0, 1] commits 0.1 1.13578 [0, -1, 0, 2, 1, -1, 1, 1, -2, 0] committed 1.1 0.7 [0, 1, 1, 2, 0, 2, 1, 1, 2, 1] committing 0.3 1.18743 [0, 1, 0, 3, 0, -2, 1, 0, 0, 0] compassion 2.0 0.7746 [3, 2, 1, 1, 2, 1, 3, 2, 2, 3] compassionate 2.2 0.87178 [0, 3, 3, 2, 2, 3, 3, 2, 2, 2] compassionated 1.6 0.66332 [3, 1, 2, 2, 1, 2, 2, 1, 1, 1] compassionately 1.7 1.41774 [1, 3, 3, 2, 1, 2, 3, 2, -2, 2] compassionateness 0.9 1.37477 [-3, 2, 2, 1, 1, 1, 2, 1, 1, 1] compassionates 1.6 0.4899 [2, 1, 2, 2, 1, 2, 2, 1, 1, 2] compassionating 1.6 0.91652 [3, 0, 2, 1, 3, 1, 2, 1, 2, 1] compassionless -2.6 0.8 [-3, -2, -2, -3, -4, -3, -1, -2, -3, -3] compelled 0.2 1.07703 [-1, 0, 0, 0, 1, 2, -1, -1, 2, 0] compelling 0.9 0.94339 [1, 1, 1, 0, 1, 2, 2, -1, 2, 0] competent 1.3 0.78102 [1, 3, 1, 1, 2, 1, 1, 0, 2, 1] competitive 0.7 0.9 [0, 2, 0, 2, 0, 1, 0, 0, 0, 2] complacent -0.3 1.1 [2, -1, -1, 1, -1, -1, -1, 1, -1, -1] queixar-se -1.5 0.67082 [-1, -1, -1, -2, -1, -2, -3, -2, -1, -1] complainant -0.7 0.78102 [0, 0, -1, 0, 0, -2, 0, -1, -2, -1] complainants -1.1 1.3 [-2, -1, 0, -2, -3, -2, -1, 1, -2, 1] complained -1.7 0.64031 [-1, -3, -2, -2, -1, -1, -2, -2, -1, -2] queixos -1.8 0.4 [-2, -2, -2, -2, -1, -2, -2, -2, -1, -2] queixosa -1.8 0.4 [-2, -2, -2, -2, -1, -2, -2, -2, -1, -2] complainers -1.3 1.00499 [-2, -1, -1, -2, -3, 1, -1, -1, -2, -1] complaining -0.8 1.249 [-2, -1, -1, -1, -2, -1, -1, 2, 1, -2] complainingly -1.7 0.64031 [-1, -2, -1, -2, -1, -2, -1, -2, -3, -2] complains -1.6 0.66332 [-1, -2, -1, -2, -2, -3, -1, -1, -1, -2] complaint -1.2 1.249 [-1, -1, -2, -2, -1, -3, -1, -1, 2, -2] complaints -1.7 0.45826 [-2, -2, -2, -1, -2, -2, -2, -1, -1, -2] compliment 2.1 0.7 [2, 2, 3, 1, 2, 3, 3, 1, 2, 2] complimentarily 1.7 0.45826 [2, 2, 2, 2, 1, 1, 2, 1, 2, 2] complimentary 1.9 0.7 [1, 2, 2, 1, 2, 1, 2, 3, 3, 2] complimented 1.8 1.4 [3, 2, 2, 2, 3, 2, -2, 3, 1, 2] complimenting 2.3 0.64031 [2, 2, 1, 3, 3, 2, 2, 3, 3, 2] compliments 1.7 0.45826 [2, 1, 2, 2, 1, 2, 2, 1, 2, 2] comprehensive 1.0 0.63246 [1, 1, 1, 0, 2, 2, 1, 0, 1, 1] conciliate 1.0 1.18322 [2, 1, 1, 0, 2, 2, -2, 2, 1, 1] conciliated 1.1 0.9434 [1, 3, 0, 0, 2, 0, 2, 1, 1, 1] conciliates 1.1 0.9434 [1, 3, 0, 0, 2, 0, 2, 1, 1, 1] conciliating 1.3 0.78102 [2, 2, 1, 1, 2, 0, 2, 1, 2, 0] condemna -1.6 1.0198 [-2, -2, -1, -2, -2, 1, -2, -3, -1, -2] condemnation -2.8 0.9798 [-3, -4, -2, -4, -2, -4, -2, -1, -3, -3] condemnat -1.9 1.81384 [2, -2, -2, -3, -2, -3, -3, -4, 1, -3] condemns -2.3 0.64031 [-2, -2, -3, -3, -3, -2, -2, -3, -1, -2] confidence 2.3 0.64031 [3, 3, 3, 3, 1, 2, 2, 2, 2, 2] confident 2.2 0.87178 [1, 3, 3, 2, 3, 1, 3, 2, 1, 3] confidently 2.1 0.53852 [2, 2, 3, 1, 2, 2, 2, 2, 3, 2] conflicte -1.3 0.45826 [-2, -2, -1, -2, -1, -1, -1, -1, -1, -1] conflicting -1.7 0.64031 [-1, -2, -3, -1, -2, -1, -2, -1, -2, -2] conflictive -1.8 0.6 [-2, -2, -2, -2, -1, -1, -3, -2, -1, -2] conflicts -1.6 0.8 [-1, -1, -1, -2, -1, -1, -3, -2, -1, -3] confronta -0.7 0.78102 [0, -1, -1, 0, 1, -1, -1, -2, -1, -1] confrontation -1.3 1.55242 [-3, -2, -3, -2, -1, -2, 1, 2, -1, -2] confrontational -1.6 0.66332 [-1, -2, -1, -2, -1, -2, -1, -2, -3, -1] confrontationist -1.0 1.34164 [-1, -2, -2, 2, 1, -1, -2, -1, -2, -2] confrontationists -1.2 1.46969 [-2, -3, -1, -2, 2, 1, -1, -2, -2, -2] confrontations -1.5 1.0247 [-1, -3, -2, -1, -3, 0, -2, -2, 0, -1] confronted -0.8 0.74833 [-1, -2, -1, -1, -1, -1, -1, -1, 1, 0] confronter -0.3 1.1 [0, -2, 1, -2, 0, -1, -1, 0, 1, 1] confronters -1.3 1.26886 [-3, -2, -2, -2, -1, -2, 1, 1, -1, -2] confronting -0.6 1.11355 [-2, -1, -1, 0, -2, 2, -1, 0, 0, -1] confronts -0.9 0.53852 [-1, -1, -1, -1, 0, -1, 0, -1, -2, -1] confus -0.9 0.3 [-1, -1, -1, -1, -1, -1, -1, -1, 0, -1] confused -1.3 0.45826 [-1, -2, -1, -1, -1, -1, -1, -1, -2, -2] confusedly -0.6 1.42829 [-3, -1, -1, 1, -1, -1, -2, 2, 1, -1] confusedness -1.5 0.67082 [-3, -1, -1, -2, -1, -2, -2, -1, -1, -1] confuses -1.3 0.45826 [-1, -2, -1, -1, -1, -1, -1, -1, -2, -2] confusing -0.9 0.7 [-1, -1, -1, -2, -1, -1, 1, -1, -1, -1] confusingly -1.4 0.66332 [-1, -1, -1, -1, -3, -1, -2, -1, -1, -2] confusion -1.2 0.6 [-1, -1, -1, -1, -1, -2, 0, -1, -2, -2] confusional -1.2 0.6 [-2, -2, 0, -1, -2, -1, -1, -1, -1, -1] confusions -0.9 1.04403 [-1, -2, -1, -1, -1, 2, -2, -1, -1, -1] congrats 2.4 0.91652 [1, 3, 3, 3, 2, 2, 4, 1, 2, 3] congratulate 2.2 1.249 [3, 3, 2, 3, -1, 2, 1, 3, 3, 3] congratulation 2.9 0.9434 [3, 3, 3, 2, 4, 2, 4, 3, 4, 1] congratulations 2.9 0.53852 [2, 3, 3, 3, 3, 3, 3, 3, 4, 2] consent 0.9 0.7 [0, 0, 1, 1, 1, 2, 1, 2, 0, 1] consents 1.0 0.63246 [0, 2, 1, 0, 1, 1, 1, 2, 1, 1] considerate 1.9 1.22066 [2, -1, 3, 2, 2, 2, 4, 1, 2, 2] consolable 1.1 0.53852 [1, 1, 2, 1, 0, 1, 1, 1, 2, 1] conspiracy -2.4 0.66332 [-2, -2, -3, -3, -2, -2, -4, -2, -2, -2] constrained -0.4 1.0198 [-1, 0, -1, -1, -1, -1, 2, -1, 1, -1] contagion -2.0 1.18322 [-1, 0, -2, -1, -2, -4, -2, -4, -2, -2] contagions -1.5 0.92195 [-2, -2, -2, -2, 1, -2, -1, -1, -2, -2] contagios -1.4 0.91652 [-2, -2, -2, 0, -1, -1, -2, 0, -1, -3] contempt -2.8 0.6 [-3, -3, -4, -2, -3, -2, -3, -3, -2, -3] contemptibilities -2.0 1.09545 [-2, 1, -2, -2, -3, -3, -3, -2, -2, -2] contemptibility -0.9 1.51327 [-2, -1, -3, -1, 0, -3, -1, 1, 2, -1] contemptible -1.6 1.68523 [-2, -2, -3, -3, -2, -3, -1, -3, 1, 2] contemptibleness -1.9 0.7 [-2, -2, -1, -2, -2, -1, -1, -2, -3, -3] contemptibly -1.4 1.49666 [-3, 0, -2, -3, -2, -2, -1, -3, 1, 1] contempts -1.0 1.48324 [-2, -2, -1, 0, 1, -1, -2, -3, 2, -2] contemptuous -2.2 1.83303 [-2, -3, -4, -2, -3, -3, 3, -2, -3, -3] contemptuously -2.4 0.8 [-1, -3, -2, -3, -3, -2, -1, -3, -3, -3] contemptuousness -1.1 1.57797 [-3, -1, -2, 3, -2, 0, -1, -1, -2, -2] contend 0.2 1.07703 [0, 0, 1, 1, -2, 1, -1, 0, 2, 0] contender 0.5 1.0247 [1, 3, -1, 0, 0, 1, 0, 1, 0, 0] contented 1.4 1.56205 [1, 1, 3, 2, 2, 2, -3, 2, 2, 2] contentedly 1.9 0.9434 [3, 1, 2, 3, 2, 3, 0, 2, 1, 2] contentedness 1.4 0.4899 [1, 2, 1, 1, 2, 2, 2, 1, 1, 1] contentious -1.2 1.4 [-2, -2, -2, -2, -2, -2, -1, 2, 1, -2] contentment 1.5 1.74642 [2, 1, 3, 2, 2, 1, 2, 4, 1, -3] contestable 0.6 1.0198 [2, -1, 1, 0, 1, -1, 1, 1, 2, 0] contradict -1.3 0.78102 [-2, -1, -1, 0, -2, 0, -1, -2, -2, -2] contradictable -1.0 0.63246 [-1, -1, -2, 0, -1, -1, 0, -1, -1, -2] contradicted -1.3 0.45826 [-1, -1, -1, -1, -2, -1, -2, -1, -1, -2] contradicting -1.3 0.9 [-2, -2, -2, -1, -2, -1, 1, -1, -1, -2] contradiction -1.0 0.89443 [-1, 0, 0, -1, 0, -3, -2, -1, -1, -1] contradictions -1.3 0.78102 [0, -2, -1, -2, -1, -2, -1, 0, -2, -2] contradictious -1.9 1.04403 [-2, -3, 0, -3, -3, -1, -2, -1, -1, -3] contradictor -1.0 0.63246 [-1, -1, -1, -2, -1, -2, 0, 0, -1, -1] contradictories -0.5 1.11803 [-1, 0, -1, -2, 2, 1, -1, -1, -1, -1] contradictorily -0.9 1.3 [0, -1, -1, -1, -3, -1, 1, 1, -3, -1] contradictoriness -1.4 0.4899 [-2, -1, -1, -1, -2, -1, -1, -2, -2, -1] contradictors -1.6 0.66332 [-1, -2, -1, -2, -1, -1, -3, -1, -2, -2] contradictory -1.4 0.4899 [-1, -2, -1, -2, -1, -1, -1, -1, -2, -2] contradicts -1.4 0.66332 [-1, -2, -1, -2, -2, -2, 0, -1, -1, -2] controversial -0.8 0.87178 [0, 0, -1, 1, -2, -1, -1, -1, -1, -2] controversially -1.1 1.04403 [0, -1, -1, -2, -1, -2, -1, 1, -3, -1] convince 1.0 0.89443 [-1, 2, 2, 1, 1, 0, 1, 1, 2, 1] convençut 1.7 0.64031 [2, 1, 1, 2, 1, 2, 2, 2, 1, 3] convincer 0.6 0.66332 [2, 0, 1, 0, 1, 1, 0, 0, 0, 1] convincers 0.3 0.64031 [0, 0, 0, 0, 0, 1, 0, 0, 0, 2] convinces 0.7 0.78102 [1, 0, 2, 0, 1, 0, 0, 0, 1, 2] convincing 1.7 0.9 [2, 2, 0, 3, 3, 1, 1, 2, 2, 1] convincingly 1.6 0.66332 [3, 2, 1, 1, 1, 2, 2, 1, 2, 1] convincingness 0.7 1.34536 [0, 0, 0, 1, -2, 2, 0, 3, 1, 2] convivial 1.2 1.16619 [1, 2, -2, 2, 1, 2, 2, 1, 2, 1] cool 1.3 0.64031 [1, 1, 2, 1, 1, 1, 2, 2, 2, 0] cornered -1.1 0.83066 [-1, -1, -3, -1, 0, -1, 0, -1, -2, -1] corpse -2.7 1.18743 [-3, -4, 0, -4, -3, -3, -3, -1, -3, -3] costly -0.4 1.0198 [-1, 0, -1, -1, 2, -1, -1, 1, -1, -1] courage 2.2 0.74833 [2, 3, 1, 2, 3, 2, 3, 3, 1, 2] courageous 2.4 0.4899 [2, 3, 3, 3, 3, 2, 2, 2, 2, 2] courageously 2.3 0.78102 [3, 3, 3, 1, 3, 3, 2, 2, 2, 1] courageousness 2.1 0.7 [3, 3, 1, 2, 1, 2, 2, 2, 3, 2] courteous 2.3 0.45826 [2, 2, 2, 3, 3, 2, 3, 2, 2, 2] courtesy 1.5 0.67082 [1, 1, 2, 3, 1, 2, 1, 1, 2, 1] cover-up -1.2 1.16619 [-1, -1, -4, -1, 0, 0, -2, 0, -1, -2] coward -2.0 0.63246 [-3, -3, -1, -2, -2, -1, -2, -2, -2, -2] cowardly -1.6 0.8 [-1, -1, -1, -3, -1, -2, -3, -2, -1, -1] coziness 1.5 1.11803 [2, 3, 1, 3, 1, 2, 2, -1, 1, 1] cramp -0.8 1.66132 [0, -1, -1, -3, -3, 1, -2, 1, -2, 2] crap -1.6 0.66332 [-1, -1, -2, -2, -1, -2, -3, -1, -1, -2] crappy -2.6 0.8 [-1, -3, -3, -2, -3, -4, -2, -2, -3, -3] crash -1.7 1.18743 [-2, -3, -2, -1, -2, 0, 0, -1, -4, -2] craze -0.6 1.49666 [0, -3, -1, -1, -2, 0, 0, -1, 3, -1] crazed -0.5 2.24722 [-2, -1, 3, -3, -3, 1, 1, -1, 3, -3] crazes 0.2 1.6 [-2, -1, 3, -1, -1, 1, 2, 0, 2, -1] crazier -0.1 1.7 [2, -2, -2, 0, -1, 1, 3, 1, -1, -2] craziest -0.2 2.13542 [2, -2, -3, 3, -2, 0, 2, 2, -2, -2] locament -1.5 0.67082 [-2, -1, -1, -2, -1, -3, -2, -1, -1, -1] craziness -1.6 0.66332 [-2, 0, -2, -1, -2, -1, -2, -2, -2, -2] crazinesses -1.0 1.48324 [1, -2, -2, 2, -1, 0, -2, -1, -3, -2] crazing -0.5 0.80623 [0, 0, 0, 0, -2, -1, -2, 0, 0, 0] crazy -1.4 1.35647 [-2, -1, -1, -2, -3, -2, -3, -1, 2, -1] crazyweed 0.8 0.9798 [2, 0, 0, 0, 0, 2, 2, 0, 2, 0] create 1.1 1.13578 [1, 1, 1, 2, 3, 0, 0, 0, 3, 0] created 1.0 0.7746 [2, 0, 0, 1, 1, 2, 0, 1, 1, 2] creates 1.1 0.83066 [2, 0, 0, 1, 1, 2, 0, 1, 2, 2] creatin 0.1 0.53852 [0, 0, 0, 1, 0, 0, 0, 1, -1, 0] creatine 0.2 0.6 [0, 0, 0, 0, 0, 0, 0, 0, 0, 2] creating 1.2 1.249 [0, 0, 0, 0, 4, 1, 1, 2, 2, 2] creatinine 0.4 1.2 [0, 0, 0, 4, 0, 0, 0, 0, 0, 0] creation 1.1 0.83066 [2, 1, 1, 2, 0, 0, 0, 1, 2, 2] creationism 0.7 0.9 [2, 0, 0, 0, 0, 0, 2, 0, 2, 1] creationisms 1.1 1.37477 [2, 4, 0, 3, 0, 0, 1, 1, 0, 0] creationist 0.8 0.9798 [2, 0, 0, 0, 0, 0, 2, 0, 2, 2] creationists 0.5 0.67082 [0, 0, 0, 1, 1, 0, 2, 0, 1, 0] creations 1.6 0.91652 [3, 2, 1, 1, 1, 3, 1, 2, 2, 0] creatiu 1.9 0.53852 [2, 1, 2, 2, 2, 1, 3, 2, 2, 2] creativa 1.9 0.53852 [2, 1, 2, 2, 2, 1, 3, 2, 2, 2] creatively 1.5 0.80623 [2, 2, 1, 0, 2, 2, 2, 0, 2, 2] creativeness 1.8 1.07703 [3, 2, 1, 0, 2, 2, 2, 0, 3, 3] creativities 1.7 1.00499 [2, 2, 1, 0, 3, 2, 2, 0, 2, 3] creativitat 1.6 0.8 [2, 1, 2, 2, 3, 2, 0, 2, 1, 1] credit 1.6 0.91652 [1, 1, 0, 2, 3, 3, 2, 2, 1, 1] creditabilities 1.4 1.28062 [0, 3, -1, 2, 2, 2, 1, 2, 0, 3] creditability 1.9 1.3 [3, 0, 4, 0, 1, 1, 3, 2, 2, 3] creditable 1.8 0.6 [2, 1, 1, 1, 2, 2, 3, 2, 2, 2] creditableness 1.2 0.74833 [1, 1, 1, 3, 2, 1, 0, 1, 1, 1] creditably 1.7 0.78102 [3, 1, 1, 0, 2, 2, 2, 2, 2, 2] credited 1.5 1.11803 [1, 1, 1, 0, 3, 2, 0, 3, 1, 3] crediting 0.6 0.4899 [1, 0, 0, 0, 1, 1, 1, 0, 1, 1] creditor -0.1 1.44568 [-2, -1, 1, -2, -1, 1, 2, -1, 2, 0] credits 1.5 1.0247 [2, -1, 2, 0, 2, 2, 2, 2, 2, 2] creditworthiness 1.9 1.3 [4, 0, 3, 1, 2, 1, 4, 2, 1, 1] creditworthy 2.4 0.66332 [3, 3, 3, 1, 2, 3, 3, 2, 2, 2] crestfallen -2.5 0.67082 [-2, -3, -3, -2, -3, -2, -4, -2, -2, -2] cried -1.6 0.8 [-1, -3, -1, -2, -2, -2, 0, -2, -1, -2] cries -1.7 0.64031 [-1, -3, -1, -2, -2, -2, -1, -2, -1, -2] delicte -2.5 0.80623 [-3, -3, -4, -2, -2, -1, -2, -2, -3, -3] delinquent -2.4 0.91652 [-3, -2, -4, -3, -1, -2, -3, -2, -1, -3] delinquents -2.7 0.9 [-2, -2, -1, -3, -3, -4, -4, -3, -2, -3] crisis -3.1 0.7 [-3, -2, -4, -3, -3, -2, -4, -4, -3, -3] critic -1.1 0.53852 [-1, 0, -2, -1, -1, -1, -1, -1, -2, -1] critical -1.3 0.78102 [-2, 0, -1, -1, -1, -2, -1, -3, -1, -1] criticise -1.9 0.53852 [-2, -1, -2, -2, -2, -2, -3, -1, -2, -2] criticised -1.8 0.4 [-2, -2, -1, -2, -2, -2, -1, -2, -2, -2] criticises -1.3 1.26886 [-2, -1, -1, -1, 2, -1, -3, -2, -2, -2] criticising -1.7 0.78102 [-1, -1, -1, -3, -1, -2, -2, -2, -1, -3] criticism -1.9 0.53852 [-2, -1, -2, -2, -2, -2, -3, -1, -2, -2] criticisms -0.9 1.37477 [-1, -1, 1, -1, -2, -2, -1, -3, 2, -1] criticizable -1.0 0.63246 [-1, -2, 0, -1, -2, -1, 0, -1, -1, -1] criticize -1.6 1.0198 [-2, -1, 0, -2, -1, -3, 0, -3, -2, -2] criticized -1.5 0.92195 [-1, -2, -3, -1, -1, -1, -3, -1, -2, 0] criticizer -1.5 0.67082 [-1, -2, -2, -1, -1, -1, -3, -1, -2, -1] criticizers -1.6 0.4899 [-1, -1, -1, -2, -2, -2, -1, -2, -2, -2] criticizes -1.4 0.66332 [-1, -1, -2, -1, -1, -1, -3, -1, -2, -1] criticizing -1.5 0.67082 [-1, -1, -1, -2, -2, -1, -2, -1, -3, -1] critics -1.2 0.6 [-2, 0, -1, -1, -1, -1, -2, -1, -2, -1] crude -2.7 0.64031 [-2, -2, -3, -4, -2, -3, -3, -2, -3, -3] crudely -1.2 0.4 [-1, -2, -2, -1, -1, -1, -1, -1, -1, -1] crudeness -2.0 0.7746 [-3, -1, -1, -1, -3, -2, -3, -2, -2, -2] crudenesses -2.0 1.0 [-3, -1, -1, -2, -4, -1, -1, -2, -2, -3] cruder -2.0 0.89443 [-3, -2, -2, -1, -1, -2, -2, -1, -4, -2] crudes -1.1 0.83066 [-2, -1, -1, -1, 0, 0, -1, -1, -3, -1] crudest -2.4 1.0198 [-2, -1, -3, -3, -2, -1, -4, -4, -2, -2] cruel -2.8 1.16619 [-2, -4, -1, -4, -1, -4, -2, -3, -3, -4] crueler -2.3 0.45826 [-2, -3, -2, -2, -2, -3, -2, -2, -3, -2] cruelest -2.6 0.8 [-4, -3, -2, -4, -2, -2, -2, -2, -2, -3] crueller -2.4 0.4899 [-2, -3, -3, -3, -2, -2, -3, -2, -2, -2] cruellest -2.9 1.04403 [-2, -3, -4, -4, -4, -3, -1, -2, -2, -4] cruelment -2.8 0.4 [-3, -3, -3, -3, -3, -3, -2, -2, -3, -3] cruelness -2.9 0.3 [-3, -3, -3, -3, -3, -3, -3, -3, -2, -3] cruelties -2.3 1.00499 [-4, -3, -2, -1, -2, -2, -1, -4, -2, -2] crueltat -2.9 0.83066 [-3, -3, -3, -3, -4, -3, -1, -3, -4, -2] crush -0.6 1.11355 [0, 0, 0, -1, 1, 0, -2, -3, -1, 0] crushed -1.8 0.6 [-2, -2, -2, -1, -2, -1, -1, -3, -2, -2] crushes -1.9 0.53852 [-2, -2, -2, -2, -2, -1, -1, -3, -2, -2] crushing -1.5 1.85742 [-2, -3, -1, -3, 2, -2, -2, -3, 2, -3] plor -2.1 0.53852 [-2, -2, -2, -1, -2, -2, -3, -3, -2, -2] plorar -2.1 0.7 [-3, -1, -2, -2, -3, -2, -3, -2, -1, -2] cony -2.2 2.08806 [-4, -1, -4, -2, 2, -4, -4, -3, 1, -3] collons -2.9 1.44568 [-3, -4, -3, -4, -4, -4, -3, 1, -3, -2] curiòs 1.3 0.78102 [0, 1, 0, 2, 2, 2, 1, 1, 2, 2] curiosa 1.3 0.78102 [0, 1, 0, 2, 2, 2, 1, 1, 2, 2] maledicció -2.5 0.67082 [-3, -3, -4, -2, -2, -3, -2, -2, -2, -2] tallar -1.1 0.53852 [-2, -1, -1, -1, 0, -1, -1, -1, -2, -1] bonic 2.0 0.63246 [1, 3, 1, 2, 2, 2, 2, 3, 2, 2] adorablement 1.3 1.00499 [3, 1, 1, 2, 2, 1, 1, 2, -1, 1] cuteness 2.3 0.45826 [2, 2, 2, 3, 2, 3, 3, 2, 2, 2] cutenesses 1.9 0.53852 [1, 2, 2, 1, 3, 2, 2, 2, 2, 2] cuter 2.3 0.9 [1, 2, 3, 4, 1, 2, 2, 3, 3, 2] cutes 1.8 0.87178 [1, 2, 3, 0, 1, 2, 2, 2, 3, 2] cutesie 1.0 1.18322 [2, 2, 1, 1, 0, 2, 2, -1, 2, -1] cutesier 1.5 1.20416 [3, -1, 2, 1, 1, 2, 2, 3, 0, 2] cutesiest 2.2 1.4 [3, 3, 4, 2, 2, 4, 2, -1, 2, 1] cutest 2.8 0.87178 [2, 3, 3, 4, 4, 3, 1, 3, 2, 3] cutesy 2.1 0.83066 [2, 1, 2, 2, 4, 3, 1, 2, 2, 2] cutey 2.1 1.04403 [1, 2, 3, 4, 1, 1, 3, 2, 3, 1] cuteys 1.5 1.0247 [3, 2, 2, 0, 1, 2, 1, 1, 3, 0] cutie 1.5 0.80623 [3, 1, 1, 2, 1, 1, 1, 3, 1, 1] cutiepie 2.0 1.09545 [3, 1, 2, 4, 0, 2, 1, 3, 2, 2] cuties 2.2 0.6 [3, 2, 2, 2, 3, 1, 2, 2, 3, 2] cuts -1.2 0.6 [-1, -2, -1, 0, -1, -1, -2, -2, -1, -1] cutting -0.5 0.67082 [0, -1, 0, 0, 0, -1, -1, -2, 0, 0] cinic -1.4 0.8 [-1, -2, -1, 0, -2, -3, -1, -1, -1, -2] cinica -1.4 0.8 [-1, -2, -1, 0, -2, -3, -1, -1, -1, -2] cynical -1.6 0.66332 [-1, -1, -2, -2, -1, -1, -2, -2, -1, -3] cynically -1.3 1.00499 [-2, -1, -1, -1, -3, -2, -1, -2, 1, -1] cynicism -1.7 0.64031 [-2, -3, -1, -1, -2, -1, -2, -1, -2, -2] cynicisms -1.7 0.78102 [-1, -1, -3, -1, -2, -3, -1, -2, -2, -1] cynics -0.3 1.1 [-1, 0, -2, 0, 0, -1, 1, -1, 2, -1] d-: 1.6 0.66332 [1, 1, 1, 2, 2, 3, 1, 1, 2, 2] d: 1.2 0.87178 [1, 1, 1, 2, 1, 1, 2, 2, -1, 2] d= 1.5 0.67082 [1, 1, 1, 2, 3, 2, 1, 1, 1, 2] dany -2.2 0.4 [-2, -3, -2, -2, -3, -2, -2, -2, -2, -2] danyat -1.9 0.53852 [-2, -2, -2, -1, -2, -1, -2, -2, -3, -2] ferit -1.9 0.53852 [-2, -2, -2, -1, -2, -1, -2, -2, -3, -2] ferida -1.9 0.53852 [-2, -2, -2, -1, -2, -1, -2, -2, -3, -2] feridor -1.9 0.53852 [-2, -2, -2, -2, -2, -1, -2, -2, -3, -1] damagers -2.0 0.63246 [-2, -3, -1, -2, -2, -1, -3, -2, -2, -2] ferides -1.9 1.04403 [-1, 0, -2, -2, -2, -4, -2, -1, -3, -2] danys -1.9 1.04403 [-1, 0, -2, -2, -2, -4, -2, -1, -3, -2] damaging -2.3 0.9 [-4, -1, -2, -4, -2, -2, -2, -2, -2, -2] damagingly -2.0 0.7746 [-2, -2, -2, -2, -1, -3, -3, -1, -3, -1] maleït -1.7 0.64031 [-2, -1, -2, -1, -1, -3, -1, -2, -2, -2] maleida -1.7 0.64031 [-2, -1, -2, -1, -1, -3, -1, -2, -2, -2] damnable -1.7 0.45826 [-2, -1, -2, -2, -1, -2, -1, -2, -2, -2] damnableness -1.8 0.74833 [-2, -2, -2, -2, -1, -2, -2, 0, -3, -2] damnably -1.7 0.45826 [-2, -1, -2, -2, -1, -2, -1, -2, -2, -2] damnation -2.6 1.0198 [-3, -2, -3, -4, -4, -3, -1, -2, -1, -3] damnations -1.4 1.11355 [-2, -1, -2, -3, -2, 0, -1, 1, -2, -2] damnatory -2.6 1.42829 [-4, -1, -4, -2, -1, -3, -3, 0, -4, -4] maleït -1.6 0.66332 [-1, -1, -3, -1, -2, -2, -1, -2, -1, -2] maleida -1.6 0.66332 [-1, -1, -3, -1, -2, -2, -1, -2, -1, -2] damnedest -0.5 1.5 [1, 0, 0, 0, -1, -1, 0, 2, -3, -3] perjudicats -2.8 0.9798 [-1, -3, -3, -2, -2, -3, -4, -4, -2, -4] damnifies -1.8 0.87178 [-2, -2, -1, -2, -3, -2, -2, 0, -1, -3] damnify -2.2 0.74833 [-2, -2, -4, -2, -3, -2, -1, -2, -2, -2] damnifying -2.4 0.66332 [-3, -1, -2, -2, -2, -2, -3, -3, -3, -3] damning -1.4 0.8 [-1, -3, -1, -1, -1, -1, -3, -1, -1, -1] damningly -2.0 1.61245 [-3, -2, -1, -4, -3, -3, -3, -2, 2, -1] damnit -2.4 1.0198 [-3, -3, -2, -2, -3, -2, -4, -2, 0, -3] damns -2.2 0.74833 [-2, -3, -2, -1, -3, -2, -1, -2, -3, -3] perill -2.4 0.91652 [-3, -1, -2, -3, -3, -3, -2, -1, -2, -4] dangered -2.4 0.66332 [-3, -3, -2, -3, -3, -2, -1, -2, -3, -2] dangering -2.5 0.80623 [-1, -2, -2, -3, -4, -3, -3, -2, -2, -3] perillos -2.1 0.3 [-2, -3, -2, -2, -2, -2, -2, -2, -2, -2] perillosa -2.1 0.3 [-2, -3, -2, -2, -2, -2, -2, -2, -2, -2] perillosament -2.0 0.44721 [-2, -2, -2, -1, -2, -3, -2, -2, -2, -2] dangerousness -2.0 0.44721 [-2, -3, -2, -1, -2, -2, -2, -2, -2, -2] dangers -2.2 0.87178 [-1, -1, -2, -4, -2, -3, -3, -2, -2, -2] daredevil 0.5 0.92195 [0, 1, -1, 2, 0, 0, 1, 0, 0, 2] daring 1.5 1.5 [3, 0, 1, 1, 2, -2, 3, 2, 2, 3] daringly 2.1 0.7 [3, 1, 2, 1, 3, 2, 2, 3, 2, 2] daringness 1.4 0.8 [0, 2, 1, 3, 1, 2, 2, 1, 1, 1] darings 0.4 0.91652 [0, 1, 1, 1, 0, 1, 0, 1, -2, 1] darkest -2.2 0.6 [-3, -3, -2, -2, -3, -2, -1, -2, -2, -2] obscuritat -1.0 0.44721 [-2, -1, -1, -1, -1, 0, -1, -1, -1, -1] benvolguda 2.8 0.6 [3, 3, 2, 2, 3, 3, 4, 2, 3, 3] benvolgut 2.8 0.6 [3, 3, 2, 2, 3, 3, 4, 2, 3, 3] darlingly 1.6 0.66332 [1, 1, 2, 3, 1, 1, 2, 2, 2, 1] darlingness 2.3 0.45826 [3, 3, 2, 2, 2, 2, 2, 2, 3, 2] darlings 2.2 0.4 [3, 2, 2, 2, 2, 2, 2, 2, 3, 2] dauntless 2.3 0.78102 [3, 3, 2, 1, 3, 3, 2, 1, 2, 3] daze -0.7 0.78102 [-1, 0, -1, -1, 1, -1, -1, 0, -1, -2] dazed -0.7 0.64031 [0, -1, -1, 0, -1, -1, 0, -1, 0, -2] dazedly -0.4 1.0198 [-1, -1, -1, -1, -1, 2, -1, 1, 0, -1] dazedness -0.5 1.11803 [-1, 2, 0, -1, -1, -1, 1, -2, -1, -1] dazes -0.3 0.78102 [0, -1, 0, 0, 0, -1, 0, 1, 0, -2] mort -3.3 1.00499 [-4, -4, -1, -4, -4, -3, -4, -2, -3, -4] morta -3.3 1.00499 [-4, -4, -1, -4, -4, -3, -4, -2, -3, -4] punt mort -1.4 0.8 [-2, -2, -1, -3, -1, 0, -2, -1, -1, -1] deafening -1.2 1.6 [-4, -2, 0, -3, 1, -2, 1, -2, -1, 0] estimat 1.6 1.35647 [3, 3, 2, 2, 2, 2, 1, -2, 1, 2] estimada 1.6 1.35647 [3, 3, 2, 2, 2, 2, 1, -2, 1, 2] dearer 1.9 0.7 [2, 2, 1, 2, 1, 1, 2, 3, 2, 3] dearest 2.6 0.8 [1, 2, 3, 3, 2, 2, 3, 3, 4, 3] dearie 2.2 0.6 [2, 2, 2, 3, 2, 1, 3, 2, 3, 2] dearies 1.0 1.0 [0, 1, 2, -1, 1, 1, 1, 1, 1, 3] dearly 1.8 1.07703 [3, 4, 2, 1, 1, 0, 1, 2, 2, 2] dearness 2.0 0.7746 [1, 1, 2, 3, 2, 2, 2, 3, 1, 3] estimats 1.9 0.83066 [3, 2, 2, 2, 1, 2, 2, 2, 0, 3] estimades 1.9 0.83066 [3, 2, 2, 2, 1, 2, 2, 2, 0, 3] escassesa -2.3 1.00499 [-2, -2, -1, -4, -2, -1, -2, -4, -3, -2] dearths -0.9 0.7 [0, -1, 0, -1, -2, -1, -2, 0, -1, -1] deary 1.9 0.83066 [3, 2, 2, 1, 2, 2, 3, 2, 0, 2] mort -2.9 1.04403 [-3, -4, -4, -3, -3, -1, -1, -4, -3, -3] cavallerós 0.8 1.72047 [1, -1, -1, -3, 2, 2, 2, 2, 2, 2] cavallerosa 0.8 1.72047 [1, -1, -1, -3, 2, 2, 2, 2, 2, 2] deute -1.5 1.0247 [-2, -1, -2, -3, 1, -2, -2, -1, -1, -2] podredumbre -1.7 0.45826 [-2, -2, -2, -1, -2, -1, -1, -2, -2, -2] podrit -1.6 0.91652 [-2, -2, -2, -2, -2, 1, -1, -2, -2, -2] podrida -1.6 0.91652 [-2, -2, -2, -2, -2, 1, -1, -2, -2, -2] decayers -1.6 0.4899 [-2, -1, -1, -2, -1, -2, -2, -2, -1, -2] decaying -1.7 0.64031 [-1, -1, -2, -2, -1, -2, -3, -2, -2, -1] putrefacció -1.7 0.45826 [-2, -1, -2, -2, -1, -2, -1, -2, -2, -2] engany -2.0 1.34164 [-3, -2, -2, -3, -3, 0, 1, -2, -3, -3] enganyat -2.0 1.34164 [-3, -2, -2, -3, -3, 0, 1, -2, -3, -3] fraudulent -1.9 1.22066 [-3, -2, -2, -3, -1, -3, -1, -3, -2, 1] embolicar -1.7 0.64031 [-1, -2, -2, -1, -2, -1, -1, -3, -2, -2] decebut -1.9 1.3 [1, -3, -3, -1, -1, -2, -2, -2, -4, -2] decebuda -1.9 1.3 [1, -3, -3, -1, -1, -2, -2, -2, -4, -2] deceives -1.6 1.56205 [-1, 2, -2, -2, -3, -2, 0, -2, -4, -2] deceiving -1.4 1.68523 [-3, -2, -2, -2, -1, -1, 1, -4, 2, -2] decepcio -1.9 1.04403 [-1, -2, -2, -4, -2, 0, -2, -1, -3, -2] decisiu 0.9 0.83066 [2, 2, 0, 1, -1, 1, 1, 1, 1, 1] decisiva 0.9 0.83066 [2, 2, 0, 1, -1, 1, 1, 1, 1, 1] dedicated 2.0 0.44721 [2, 2, 2, 2, 2, 2, 2, 1, 3, 2] derrotar -2.0 1.67332 [0, -4, -3, -4, -2, -1, -2, -1, 1, -4] derrotat -2.1 0.83066 [-1, -2, -1, -2, -3, -2, -2, -2, -2, -4] derrotada -2.1 0.83066 [-1, -2, -1, -2, -3, -2, -2, -2, -2, -4] defeater -1.4 0.8 [-2, -1, -1, -3, -2, -1, -2, -1, 0, -1] defeaters -0.9 0.9434 [-2, 0, -1, -2, -2, -1, 0, -1, 1, -1] defeating -1.6 0.66332 [-2, -2, -1, -1, -1, -1, -2, -2, -3, -1] defeatism -1.3 1.00499 [-1, -2, -2, -1, -1, -3, 1, -2, -1, -1] defeatist -1.7 0.9 [0, -1, -2, -3, -1, -2, -1, -3, -2, -2] defeatists -2.1 0.9434 [-3, -2, -1, -2, -2, -1, -3, -4, -1, -2] defeats -1.3 1.1 [-1, 0, -1, -2, -1, -2, -3, 1, -2, -2] defeature -1.9 1.22066 [1, -2, -2, -2, -2, -1, -2, -3, -4, -2] defeatures -1.5 1.20416 [-3, -2, -3, 0, -1, -1, -2, 0, -3, 0] defecte -1.4 0.8 [-2, -1, -2, -1, 0, -2, -3, -1, -1, -1] defected -1.7 0.64031 [-3, -2, -2, -2, -1, -1, -1, -2, -1, -2] defecting -1.8 0.6 [-2, -1, -2, -2, -2, -1, -3, -1, -2, -2] defection -1.4 0.66332 [-1, -2, -1, -2, 0, -1, -2, -2, -2, -1] defections -1.5 0.67082 [-2, -2, -2, -1, 0, -1, -2, -2, -1, -2] defective -1.9 0.53852 [-2, -1, -2, -3, -2, -2, -2, -2, -1, -2] defectively -2.1 0.83066 [-1, -3, -2, -1, -3, -2, -1, -3, -2, -3] defectiveness -1.8 0.74833 [-1, -1, -2, -2, -2, -3, -1, -1, -2, -3] defectives -1.8 0.74833 [-3, -3, -1, -2, -2, -1, -2, -1, -1, -2] desertor -1.9 0.53852 [-2, -3, -2, -2, -1, -2, -1, -2, -2, -2] transfuga -1.9 0.53852 [-2, -3, -2, -2, -1, -2, -1, -2, -2, -2] desertores -1.3 1.26886 [-2, -1, -2, 0, -1, -1, -2, -4, 1, -1] transfugues -1.3 1.26886 [-2, -1, -2, 0, -1, -1, -2, -4, 1, -1] defects -1.7 0.9 [-1, -2, -1, 0, -2, -3, -2, -2, -1, -3] defensa 0.4 0.91652 [0, 0, 0, 1, 0, 0, 0, 2, 2, -1] defenceman 0.4 1.11355 [3, 0, 0, 0, 0, -1, 2, 0, 0, 0] defencemen 0.6 0.91652 [0, 0, 0, 2, 0, 2, 0, 2, 0, 0] defenses -0.2 1.16619 [0, 0, 0, 1, -2, -1, 0, -2, 0, 2] defensor 0.4 1.0198 [0, 0, 2, 1, -1, 2, 0, 1, -1, 0] defensora 0.4 1.0198 [0, 0, 2, 1, -1, 2, 0, 1, -1, 0] defenders 0.3 0.78102 [0, 1, 1, 0, 0, 0, 0, -1, 2, 0] justificacio 0.5 0.67082 [0, 1, 0, 1, 2, 1, 0, 0, 0, 0] escusa 0.5 0.67082 [0, 1, 0, 1, 2, 1, 0, 0, 0, 0] defenseless -1.4 0.8 [0, -1, -1, -2, -1, -1, -3, -1, -2, -2] defenselessly -1.1 0.9434 [-2, -2, -2, -1, 0, -1, 1, -1, -1, -2] defenselessness -1.3 1.18743 [-3, -1, -3, 0, -2, -1, -1, -2, 1, -1] defenseman 0.1 1.13578 [2, 0, 0, 0, 0, 0, -1, 0, 2, -2] defensemen -0.4 0.66332 [0, 0, -2, 0, -1, -1, 0, 0, 0, 0] defenses 0.7 1.41774 [3, 0, 2, 0, -1, 1, -2, 1, 1, 2] defensibility 0.4 1.56205 [1, -2, 1, 0, 4, 0, -1, 1, -1, 1] defensible 0.8 0.87178 [0, 2, 0, 0, 1, 0, 2, 0, 2, 1] defensibly 0.1 1.13578 [0, -1, 0, 0, -1, 0, 3, 0, -1, 1] defensive 0.1 1.13578 [2, -1, 0, -1, 2, 0, -1, 1, 0, -1] defensively -0.6 0.91652 [1, 1, -1, -1, -1, -1, -2, -1, 0, -1] defensiveness -0.4 1.11355 [2, -1, -1, -1, -1, 0, 0, 1, -2, -1] defensives -0.3 1.00499 [-1, 0, 0, -1, 0, -1, 0, -2, 2, 0] ajornar -1.2 0.6 [-1, -2, -1, 0, -1, -2, -2, -1, -1, -1] deferring -0.7 0.64031 [0, 0, -2, -1, -1, -1, -1, 0, -1, 0] defiant -0.9 1.44568 [-1, -2, -1, 2, 1, -2, 0, -1, -3, -2] deficit -1.7 0.78102 [-3, -3, -2, -1, -2, -2, -1, -1, -1, -1] definite 1.1 0.7 [2, 1, 0, 1, 0, 1, 1, 2, 2, 1] definitivament 1.7 0.64031 [2, 2, 2, 2, 2, 1, 2, 2, 0, 2] degradable -1.0 1.26491 [-1, -2, 0, -2, 0, -1, -2, -2, 2, -2] degradacio -2.4 1.0198 [-4, -3, -3, -3, -3, -2, -2, -2, 0, -2] degradacions -1.5 0.67082 [-2, -1, -3, -1, -2, -2, -1, -1, -1, -1] degradative -2.0 0.63246 [-2, -1, -3, -2, -2, -2, -1, -2, -3, -2] degrade -1.9 0.7 [-3, -2, -1, -3, -1, -2, -2, -2, -1, -2] degradat -1.8 0.87178 [-2, -3, -1, 0, -2, -1, -2, -2, -3, -2] degrader -2.0 0.63246 [-2, -3, -1, -1, -2, -2, -3, -2, -2, -2] degraders -2.0 0.63246 [-2, -3, -1, -2, -2, -2, -3, -2, -1, -2] degrades -2.1 0.83066 [-3, -1, -3, -3, -2, -3, -1, -1, -2, -2] degrading -2.8 0.87178 [-3, -3, -2, -3, -4, -2, -3, -4, -3, -1] degradingly -2.7 0.64031 [-3, -2, -3, -4, -2, -3, -3, -2, -3, -2] deshumanitzat -1.8 2.18174 [-2, -4, -1, -3, 2, -4, -3, 2, -1, -4] dehumanized -1.9 0.7 [-2, -2, -2, -2, -1, -3, -2, -1, -3, -1] dehumanitza -1.5 0.67082 [-1, -1, -1, -2, -1, -3, -2, -1, -2, -1] dehumanizing -2.4 0.91652 [-2, -3, -4, -2, -3, -2, -3, -1, -1, -3] deject -2.2 0.6 [-2, -3, -2, -3, -2, -2, -3, -2, -1, -2] desmmoralitzat -2.2 0.74833 [-2, -1, -2, -3, -2, -2, -2, -2, -2, -4] dejecting -2.3 0.64031 [-2, -2, -3, -2, -3, -2, -1, -2, -3, -3] dejects -2.0 0.63246 [-2, -2, -3, -1, -2, -1, -3, -2, -2, -2] retard -1.3 0.45826 [-1, -1, -1, -2, -1, -1, -2, -1, -2, -1] retrasat -0.9 0.3 [-1, -1, 0, -1, -1, -1, -1, -1, -1, -1] retrasada -0.9 0.3 [-1, -1, 0, -1, -1, -1, -1, -1, -1, -1] delectable 2.9 0.83066 [3, 4, 3, 2, 3, 4, 3, 1, 3, 3] delectables 1.4 1.35647 [1, 2, 0, 4, 2, 1, 3, -1, 1, 1] delectably 2.8 0.74833 [3, 4, 3, 2, 3, 3, 3, 1, 3, 3] delicat 0.2 0.74833 [2, 0, 0, 0, 0, 0, 1, 0, -1, 0] delicada 0.2 0.74833 [2, 0, 0, 0, 0, 0, 1, 0, -1, 0] delicadament 1.0 1.26491 [1, 1, 2, 0, 1, 3, -1, 2, -1, 2] delicates 0.6 1.35647 [3, 0, 2, 1, -1, -1, 2, 0, 1, -1] delicatessen 0.4 0.8 [0, 0, 0, 0, 0, 0, 0, 2, 2, 0] delicatessens 0.4 0.8 [0, 0, 2, 0, 0, 2, 0, 0, 0, 0] delicios 2.7 0.64031 [3, 2, 3, 4, 2, 3, 3, 3, 2, 2] deliciosa 2.7 0.64031 [3, 2, 3, 4, 2, 3, 3, 3, 2, 2] deliciosament 1.9 0.83066 [2, 2, 1, 3, 1, 3, 2, 3, 1, 1] ricura 1.8 0.87178 [1, 2, 3, 3, 2, 2, 1, 2, 2, 0] plaer 2.9 0.7 [2, 3, 4, 4, 3, 2, 3, 3, 2, 3] delighted 2.3 0.64031 [3, 3, 2, 3, 2, 1, 3, 2, 2, 2] delightedly 2.4 0.4899 [2, 3, 3, 3, 2, 2, 3, 2, 2, 2] delightedness 2.1 0.53852 [2, 2, 2, 2, 3, 2, 3, 2, 1, 2] delighter 2.0 0.63246 [3, 2, 2, 3, 1, 2, 2, 1, 2, 2] delighters 2.6 0.66332 [3, 2, 2, 2, 3, 2, 3, 2, 4, 3] delightful 2.8 0.6 [4, 3, 2, 3, 3, 3, 2, 2, 3, 3] delightfully 2.7 0.45826 [3, 2, 2, 2, 3, 3, 3, 3, 3, 3] delightfulness 2.1 0.7 [3, 2, 3, 1, 2, 3, 2, 2, 2, 1] delighting 1.6 1.90788 [3, 3, 3, 2, 3, 2, 3, -2, -2, 1] delights 2.0 1.54919 [2, 3, 1, -2, 2, 4, 2, 3, 3, 2] delightsome 2.3 0.45826 [3, 3, 2, 2, 2, 3, 2, 2, 2, 2] exigir -0.5 0.67082 [0, 0, 0, 0, 0, -1, -1, -1, 0, -2] demanded -0.9 0.7 [-2, 0, 0, 0, -2, -1, -1, -1, -1, -1] demanding -0.9 0.53852 [-1, -2, 0, -1, -1, -1, -1, -1, 0, -1] demonstration 0.4 0.91652 [0, 0, 0, 0, 0, 0, 3, 1, 0, 0] demoralized -1.6 1.62481 [-2, -2, -2, -2, -3, 2, -2, -3, 1, -3] rebutjat -1.9 0.53852 [-2, -3, -1, -2, -2, -1, -2, -2, -2, -2] denier -1.5 0.67082 [-1, -1, -1, -1, -2, -3, -2, -2, -1, -1] deniers -1.1 1.13578 [-2, 0, -2, -1, -3, 1, 0, -1, -2, -1] denies -1.8 0.6 [-1, -2, -1, -1, -2, -3, -2, -2, -2, -2] denounce -1.4 0.91652 [-2, -1, -2, -1, 1, -2, -2, -1, -2, -2] denounces -1.9 0.7 [-1, -3, -2, -3, -2, -1, -2, -2, -2, -1] negar -1.4 0.4899 [-1, -1, -1, -1, -2, -1, -2, -2, -1, -2] negant -1.4 0.4899 [-1, -1, -1, -2, -2, -2, -1, -2, -1, -1] depress -2.2 0.74833 [-2, -1, -3, -3, -2, -2, -3, -3, -1, -2] depressant -1.6 1.11355 [-3, -1, 0, -1, 0, -2, -3, -1, -3, -2] depressants -1.6 0.91652 [-1, -1, -3, -3, -2, 0, -1, -2, -2, -1] depressed -2.3 0.45826 [-2, -2, -2, -2, -2, -3, -3, -3, -2, -2] depresses -2.2 0.6 [-2, -2, -2, -2, -3, -3, -1, -2, -3, -2] depressible -1.7 0.78102 [-2, -1, 0, -3, -2, -2, -2, -1, -2, -2] depressing -1.6 1.28062 [-2, -2, -2, 2, -3, -1, -2, -2, -2, -2] depressingly -2.3 0.45826 [-2, -3, -2, -2, -2, -3, -3, -2, -2, -2] depression -2.7 0.64031 [-3, -2, -2, -2, -2, -3, -4, -3, -3, -3] depressions -2.2 0.6 [-2, -3, -3, -2, -2, -2, -3, -2, -2, -1] depressive -1.6 1.11355 [-2, -1, -1, -2, -1, -2, -3, 1, -3, -2] depressively -2.1 0.53852 [-3, -2, -3, -2, -2, -2, -2, -1, -2, -2] depressives -1.5 0.5 [-2, -1, -1, -2, -1, -1, -1, -2, -2, -2] depressor -1.8 1.16619 [-2, -4, -3, 0, 0, -2, -2, -2, -1, -2] depressors -1.7 0.9 [-1, -1, -1, -2, -1, -2, -4, -2, -2, -1] depressurization -0.3 0.78102 [1, 0, 0, -1, -1, 0, -2, 0, 0, 0] depressurizations -0.4 0.91652 [0, 0, 0, 0, 1, -2, -1, 0, -2, 0] depressurize -0.5 0.80623 [0, 0, -2, 0, -2, 0, 0, 0, 0, -1] depressurized -0.3 0.64031 [0, 0, 0, 0, 0, 0, -1, 0, -2, 0] depressurizes -0.3 0.64031 [0, 0, 0, 0, 0, 0, -1, 0, -2, 0] depressurizing -0.7 1.34536 [2, 0, -1, -1, -2, -2, 1, -2, 0, -2] deprival -2.1 0.7 [-1, -2, -2, -2, -1, -3, -3, -3, -2, -2] deprivals -1.2 0.87178 [0, -1, -2, -1, 0, -2, -1, -1, -3, -1] privacio -1.8 1.4 [-3, -2, -3, -2, -1, -2, -2, 2, -2, -3] carencies -1.8 0.74833 [-1, -2, -3, -1, -2, -1, -2, -2, -3, -1] deprive -2.1 0.7 [-3, -2, -1, -3, -1, -2, -2, -3, -2, -2] deprived -2.1 0.7 [-2, -2, -2, -2, -2, -4, -2, -2, -1, -2] depriver -1.6 0.91652 [-1, -2, -1, -2, -1, -4, -2, -1, -1, -1] deprivers -1.4 0.66332 [-2, -1, -1, -3, -1, -1, -1, -1, -2, -1] deprives -1.7 0.64031 [-2, -2, -1, -2, -1, -3, -2, -1, -1, -2] depriving -2.0 0.0 [-2, -2, -2, -2, -2, -2, -2, -2, -2, -2] arruinar -1.2 1.07703 [-1, 1, -1, -2, -1, -2, -1, -3, -2, 0] derailed -1.4 0.66332 [-1, -2, -2, 0, -1, -1, -2, -1, -2, -2] derails -1.3 0.78102 [-2, -3, -1, -2, -1, -1, 0, -1, -1, -1] arruina -1.1 1.22066 [-3, -2, -2, -1, -1, -1, 1, -2, -1, 1] derided -0.8 0.87178 [-2, -1, -2, 0, 0, -1, -1, -1, 1, -1] derides -1.0 1.0 [-1, -2, -2, 0, 0, 1, -1, -2, -1, -2] deriding -1.5 0.80623 [-2, -2, 0, 0, -2, -1, -2, -2, -2, -2] derision -1.2 1.249 [-1, -2, -2, -2, -1, -1, 1, 1, -3, -2] desirable 1.3 0.45826 [2, 1, 1, 1, 1, 1, 1, 2, 2, 1] desig 1.7 0.78102 [1, 1, 2, 1, 3, 3, 1, 2, 2, 1] desitjat 1.1 1.04403 [1, 1, 0, 3, 1, 0, 1, 1, 3, 0] desirous 1.3 0.64031 [1, 2, 1, 2, 2, 1, 2, 1, 0, 1] desesperar -1.3 1.9 [2, -1, -3, -1, -3, 1, -3, 1, -3, -3] desesperat -2.7 0.45826 [-2, -2, -3, -3, -3, -3, -3, -2, -3, -3] despairer -1.3 1.1 [-2, -2, -1, -3, -2, 1, -1, -1, 0, -2] despairers -1.3 1.00499 [-2, -1, -1, 1, -2, -1, -2, -1, -1, -3] desesperant -2.3 0.64031 [-2, -1, -3, -2, -3, -2, -2, -2, -3, -3] despairingly -2.2 0.74833 [-2, -2, -2, -2, -4, -2, -3, -1, -2, -2] despairs -2.7 1.00499 [-3, -4, -1, -3, -4, -2, -1, -3, -3, -3] desesperat -1.3 1.34536 [-2, -1, -2, 1, -1, -2, -3, -3, -1, 1] desesperada -1.3 1.34536 [-2, -1, -2, 1, -1, -2, -3, -3, -1, 1] desesperadament -1.6 1.11355 [-3, -3, -2, -1, -2, -1, -2, -2, -1, 1] desperateness -1.5 1.36015 [-1, -2, -2, -2, -3, -3, 1, -2, 1, -2] desesperacio -2.0 1.0 [-2, -1, -1, -2, -3, -3, -1, -4, -1, -2] desesperacions -2.2 1.66132 [-1, -4, -2, -4, -4, -1, -1, -2, 1, -4] menysprear -1.4 1.35647 [-2, -3, -1, -2, -1, 1, -3, 1, -2, -2] despised -1.7 1.48661 [-2, -1, -3, -2, -3, 1, -3, 1, -2, -3] despisement -2.4 0.91652 [-3, -3, -2, -1, -3, -1, -4, -2, -2, -3] despisements -2.5 1.0247 [-2, -2, -3, -2, 0, -3, -4, -3, -3, -3] despiser -1.8 1.07703 [-2, -1, -3, 1, -2, -2, -3, -2, -2, -2] despisers -1.6 1.35647 [-3, -3, -1, -3, -2, -1, -1, 1, 0, -3] despises -2.0 1.26491 [-3, -1, -3, 1, -2, -1, -3, -2, -3, -3] despising -2.7 0.9 [-4, -3, -3, -4, -1, -2, -3, -2, -2, -3] despondent -2.1 0.53852 [-2, -2, -2, -3, -2, -2, -1, -3, -2, -2] destruir -2.5 0.67082 [-2, -3, -3, -1, -3, -3, -3, -2, -2, -3] destruit -2.2 0.87178 [-1, -3, -3, -2, -1, -2, -1, -3, -3, -3] destructor -2.0 0.89443 [-2, -3, -3, -3, -1, -2, -2, -2, 0, -2] destructora -2.0 0.89443 [-2, -3, -3, -3, -1, -2, -2, -2, 0, -2] destructors -2.3 0.78102 [-1, -3, -3, -3, -2, -2, -3, -3, -1, -2] destruint -2.6 0.91652 [-2, -4, -4, -2, -1, -3, -2, -3, -2, -3] destrueix -2.6 0.4899 [-3, -3, -3, -2, -2, -2, -3, -3, -2, -3] destruct -2.4 0.4899 [-3, -3, -3, -2, -2, -2, -3, -2, -2, -2] destrossat -1.9 1.04403 [-4, -1, -2, -2, -2, -1, -3, -2, 0, -2] destructibilitat -1.8 1.07703 [-1, -2, -1, -1, -2, -3, -2, 0, -4, -2] destructible -1.5 1.11803 [-2, -2, -2, -1, 1, -1, -3, -1, -3, -1] destructing -2.5 0.67082 [-2, -3, -2, -3, -2, -2, -2, -3, -2, -4] destruction -2.7 0.9 [-4, -3, -4, -3, -2, -2, -3, -1, -2, -3] destructionist -2.6 0.8 [-3, -4, -2, -2, -2, -3, -3, -1, -3, -3] destructionists -2.1 0.53852 [-3, -1, -2, -2, -3, -2, -2, -2, -2, -2] destructions -2.3 0.78102 [-3, -2, -2, -2, -1, -3, -4, -2, -2, -2] destructive -3.0 0.63246 [-3, -4, -3, -2, -3, -3, -3, -2, -4, -3] destructively -2.4 0.91652 [-2, -3, -1, -4, -2, -3, -3, -3, -1, -2] destructiveness -2.4 0.91652 [-3, -3, -2, -4, -1, -2, -3, -2, -1, -3] destructivity -2.2 1.53623 [2, -3, -3, -4, -3, -2, -2, -2, -2, -3] destructs -2.4 0.91652 [-2, -1, -2, -4, -4, -2, -3, -2, -2, -2] indiferent -0.5 1.20416 [-1, 2, -1, -1, -2, 0, 1, -2, -1, 0] retardar -1.8 0.9798 [-3, -1, -2, -2, -4, -2, -1, -1, -1, -1] detardat -1.7 0.9 [-1, -1, -1, -1, -1, -2, -2, -2, -2, -4] castic -1.5 0.67082 [-1, -2, -1, -2, -1, -1, -3, -2, -1, -1] determinable 0.9 0.7 [2, 1, 1, 1, 0, 1, 2, 0, 0, 1] determinableness 0.2 1.07703 [0, 0, 0, 1, 0, 1, -1, 2, -2, 1] determinably 0.9 0.83066 [2, 0, 1, 1, 0, 1, 2, 2, 0, 0] determinacy 1.0 1.0 [0, 0, 0, 3, 1, 1, 2, 1, 0, 2] determinant 0.2 0.6 [0, 1, -1, 0, 1, 1, 0, 0, 0, 0] determinantal -0.3 1.41774 [0, 0, 0, -4, 0, -1, 0, 0, 2, 0] determinat 0.8 0.87178 [2, 1, 0, 0, 0, 2, 2, 0, 1, 0] determinadament 1.2 0.6 [1, 2, 0, 1, 1, 1, 2, 1, 2, 1] determinateness 1.1 0.9434 [1, 1, 1, 0, 0, 2, 3, 1, 0, 2] determination 1.7 0.78102 [2, 3, 1, 1, 1, 2, 1, 1, 2, 3] determinations 0.8 1.16619 [0, 3, 1, 0, 1, 3, 0, 0, 0, 0] determinative 1.1 1.04403 [2, 0, 3, 2, 1, 1, 0, 0, 2, 0] determinatives 0.9 1.3 [2, 0, -2, 1, 2, 2, 2, 0, 0, 2] determinator 1.1 1.04403 [3, 0, 1, 0, 1, 0, 2, 2, 0, 2] determinat 1.4 1.35647 [-2, 1, 3, 2, 2, 2, 3, 1, 1, 1] devastate -3.1 0.9434 [-4, -4, -1, -4, -4, -3, -3, -3, -2, -3] devastated -3.0 0.89443 [-4, -3, -3, -4, -3, -1, -3, -4, -3, -2] devastates -2.8 0.9798 [-4, -3, -2, -4, -2, -1, -3, -4, -3, -2] devastating -3.3 0.9 [-4, -3, -4, -4, -1, -4, -3, -3, -3, -4] devastatingly -2.4 1.28062 [-3, -4, -3, 0, -3, 0, -2, -3, -3, -3] devastation -1.8 2.13542 [-1, -1, -3, -3, -4, -3, -4, 2, 2, -3] devastations -1.9 1.92094 [-3, -3, -2, -2, 1, -1, 2, -4, -4, -3] devastative -3.2 1.16619 [-4, -3, 0, -4, -4, -3, -3, -4, -3, -4] devastator -2.8 0.74833 [-3, -3, -2, -2, -3, -2, -3, -4, -2, -4] devastators -2.9 1.22066 [-3, -2, -3, -4, -4, -4, 0, -3, -2, -4] dimoni -3.4 0.8 [-4, -3, -4, -4, -4, -4, -2, -3, -2, -4] deviled -1.6 1.0198 [-1, -2, 0, -4, -1, -2, -2, -2, -1, -1] devilfish -0.8 1.07703 [-2, -3, -1, 0, 0, 0, 0, -2, 0, 0] devilfishes -0.6 1.0198 [-3, 0, -2, 0, 0, 0, 0, -1, 0, 0] deviling -2.2 0.87178 [-1, -3, -1, -2, -3, -2, -2, -4, -2, -2] devilish -2.1 1.04403 [-1, -2, -4, -1, -1, -2, -2, -4, -2, -2] devilishly -1.6 0.8 [-2, -2, -3, -1, -2, -2, 0, -2, -1, -1] devilishness -2.3 0.9 [-4, -1, -4, -2, -2, -2, -2, -2, -2, -2] devilkin -2.4 0.91652 [-3, -1, -2, -3, -2, -4, -2, -3, -3, -1] devilled -2.3 1.1 [-3, -1, -2, -3, 0, -4, -2, -3, -2, -3] devilling -1.8 1.249 [-3, -1, -1, -2, -2, -3, -4, -2, 0, 0] devilment -1.9 0.9434 [-2, -1, -2, -1, -3, -2, -2, -1, -1, -4] devilments -1.1 0.7 [-2, -1, -2, -2, -1, 0, 0, -1, -1, -1] devilries -1.6 1.35647 [-1, -1, -2, -4, -3, 0, -2, 0, 0, -3] devilry -2.8 1.249 [-4, -3, 0, -2, -2, -2, -3, -4, -4, -4] dimonis -2.7 0.9 [-3, -1, -3, -2, -2, -3, -4, -3, -2, -4] deviltries -1.5 1.11803 [-1, -2, 1, -2, 0, -2, -2, -3, -2, -2] deviltry -2.8 1.32665 [-4, -4, -3, -3, -3, -3, 1, -3, -3, -3] devilwood -0.8 1.07703 [0, -1, -2, 0, 0, 0, 0, -3, -2, 0] devilwoods -1.0 0.7746 [-2, 0, -2, -1, -1, 0, -1, -2, 0, -1] dedicar 1.4 1.28062 [3, 0, 2, -1, 0, 3, 2, 2, 1, 2] lleial 1.7 1.34536 [2, -1, 3, 2, 1, 0, 1, 3, 3, 3] fidelment 1.6 1.35647 [1, 1, 2, 2, 3, 2, 2, -2, 2, 3] devotedness 2.0 1.0 [0, 3, 2, 1, 3, 2, 2, 3, 1, 3] devotee 1.6 1.11355 [1, 3, 0, 2, 1, 2, 1, 1, 4, 1] devotees 0.5 1.0247 [0, 0, 3, 0, 0, 0, 2, 0, 0, 0] devotement 1.5 1.36015 [2, -1, 3, 2, -1, 1, 2, 3, 2, 2] devotements 1.1 1.04403 [0, 1, 0, 0, 0, 2, 2, 2, 3, 1] devotes 1.6 0.91652 [2, 3, 0, 2, 2, 3, 1, 1, 1, 1] devoting 2.1 0.7 [2, 2, 3, 1, 2, 3, 2, 3, 1, 2] devotion 2.0 1.0 [2, 0, 1, 2, 4, 3, 2, 2, 2, 2] devotional 1.2 1.16619 [0, 1, 0, 2, 2, 1, 0, 0, 3, 3] devotionally 2.2 0.4 [2, 2, 2, 3, 2, 3, 2, 2, 2, 2] devotionals 1.2 1.07703 [3, 1, 1, 0, -1, 2, 2, 2, 1, 1] devotions 1.8 0.74833 [2, 3, 1, 2, 1, 3, 1, 2, 1, 2] diamant 1.4 1.42829 [0, 0, 2, 0, 1, 3, 1, 3, 0, 4] piu -2.3 1.18743 [-2, -3, -4, -2, 0, -4, -2, -1, -3, -2] imbecil -3.1 0.53852 [-4, -3, -3, -3, -4, -2, -3, -3, -3, -3] morir -2.9 0.9434 [-4, -3, -1, -2, -4, -3, -3, -3, -2, -4] mort -2.6 1.28062 [-3, -1, -3, -4, -2, -4, -3, -4, -2, 0] dificil -1.5 0.5 [-2, -2, -1, -1, -2, -1, -1, -2, -1, -2] dificultats -1.2 0.4 [-1, -2, -1, -1, -1, -2, -1, -1, -1, -1] dificultly -1.7 0.45826 [-1, -2, -1, -2, -2, -1, -2, -2, -2, -2] difficulty -1.4 0.66332 [-2, -2, -2, -2, 0, -1, -1, -2, -1, -1] diffident -1.0 0.44721 [-1, -1, -1, -1, -1, 0, -2, -1, -1, -1] dignified 2.2 0.6 [1, 2, 2, 2, 3, 3, 3, 2, 2, 2] dignifies 2.0 0.7746 [1, 3, 2, 2, 3, 3, 2, 2, 1, 1] dignify 1.8 0.74833 [1, 2, 2, 1, 3, 3, 1, 2, 2, 1] dignifying 2.1 1.04403 [1, 1, 1, 3, 1, 4, 2, 3, 2, 3] dignitaris 0.6 0.91652 [0, 0, 1, 0, 0, 0, 3, 0, 1, 1] dignitari 1.9 1.3 [0, 3, 4, 2, 3, 1, 1, 3, 0, 2] dignities 1.4 0.66332 [1, 2, 1, 1, 3, 2, 1, 1, 1, 1] dignitat 1.7 0.9 [0, 3, 2, 1, 2, 1, 2, 3, 1, 2] dilemma -0.7 1.48661 [2, -1, -2, -2, -1, -1, 2, 0, -2, -2] desagradable -2.1 0.7 [-1, -2, -2, -3, -2, -3, -3, -2, -2, -1] urgent -2.0 1.26491 [-2, -3, -3, -2, -3, -1, -1, 1, -3, -3] direful -3.1 0.83066 [-3, -3, -3, -3, -4, -1, -4, -3, -4, -3] fem -1.4 0.91652 [-1, -1, -1, 0, -3, -1, -1, -2, -3, -1] escombreria -1.4 0.91652 [-1, -1, -1, 0, -3, -1, -1, -2, -3, -1] dirtier -1.4 0.4899 [-2, -1, -1, -2, -1, -2, -1, -1, -2, -1] dirtiest -2.4 1.0198 [-4, -3, -2, -1, -2, -3, -1, -2, -4, -2] brut -1.9 0.83066 [-2, -1, -1, -1, -2, -2, -1, -3, -3, -3] disabling -2.1 0.53852 [-2, -1, -3, -3, -2, -2, -2, -2, -2, -2] disadvantage -1.8 0.4 [-2, -2, -1, -2, -2, -1, -2, -2, -2, -2] disadvantaged -1.7 0.64031 [-2, -2, -3, -1, -2, -2, -2, -1, -1, -1] disadvantageous -1.8 0.74833 [-1, -2, -2, -1, -3, -1, -1, -2, -3, -2] disadvantageously -2.1 0.83066 [-2, -4, -1, -2, -1, -2, -2, -2, -3, -2] disadvantageousness -1.6 0.66332 [-1, -1, -3, -2, -1, -1, -2, -1, -2, -2] disadvantages -1.7 0.64031 [-2, -2, -3, -1, -2, -2, -2, -1, -1, -1] disagree -1.6 0.4899 [-1, -2, -1, -1, -2, -2, -2, -2, -1, -2] disagreeable -1.7 0.64031 [-1, -2, -1, -1, -1, -2, -2, -2, -3, -2] disagreeableness -1.7 0.64031 [-1, -1, -2, -2, -1, -2, -3, -1, -2, -2] disagreeablenesses -1.9 0.9434 [-2, 0, -3, -1, -2, -3, -2, -1, -3, -2] disagreeably -1.5 0.67082 [-3, -2, -1, -1, -1, -2, -1, -2, -1, -1] disagreed -1.3 0.64031 [-1, -2, -1, -1, -2, 0, -1, -2, -1, -2] disagreeing -1.4 0.8 [-1, 0, -1, -2, -2, -1, -3, -1, -1, -2] disagreement -1.5 0.67082 [-2, -1, -1, -1, -1, -1, -1, -3, -2, -2] disagreements -1.8 0.6 [-2, -3, -1, -2, -2, -1, -2, -2, -1, -2] disagrees -1.3 0.45826 [-1, -2, -1, -1, -1, -1, -1, -2, -1, -2] disappear -0.9 0.7 [-2, -1, 0, 0, -2, -1, -1, -1, 0, -1] disappeared -0.9 0.7 [-2, 0, -1, -1, 0, 0, -2, -1, -1, -1] disappears -1.4 0.8 [-2, -2, 0, 0, -2, -1, -2, -1, -2, -2] disappoint -1.7 0.64031 [-1, -1, -1, -3, -2, -2, -2, -1, -2, -2] disappointed -2.1 0.83066 [-1, -3, -2, -2, -3, -1, -1, -2, -3, -3] disappointedly -1.7 0.78102 [-3, -1, -3, -1, -2, -1, -1, -2, -2, -1] disappointing -2.2 0.6 [-1, -2, -2, -3, -3, -2, -2, -2, -3, -2] disappointingly -1.9 0.7 [-2, -1, -1, -3, -2, -3, -2, -2, -1, -2] disappointment -2.3 1.00499 [-3, -1, -4, -1, -3, -1, -3, -2, -2, -3] disappointments -2.0 1.09545 [-1, -2, -4, -3, -2, -2, -3, 0, -2, -1] disappoints -1.6 0.4899 [-2, -1, -1, -1, -2, -1, -2, -2, -2, -2] disaster -3.1 0.83066 [-2, -4, -4, -3, -3, -2, -4, -3, -2, -4] disasters -2.6 0.8 [-2, -2, -3, -1, -3, -3, -2, -4, -3, -3] disastrous -2.9 0.53852 [-2, -2, -3, -3, -3, -3, -4, -3, -3, -3] disbelieve -1.2 0.87178 [-1, -2, -1, -2, -1, 0, 0, -1, -3, -1] discard -1.0 0.44721 [-1, -1, -1, -1, 0, -1, -1, -1, -2, -1] discarded -1.4 0.91652 [-1, -1, -1, -1, 0, -1, -2, -3, -3, -1] discarding -0.7 0.45826 [-1, 0, -1, -1, -1, 0, -1, 0, -1, -1] discards -1.0 0.63246 [0, -1, -1, -1, -2, 0, -2, -1, -1, -1] discomfort -1.8 0.6 [-2, -2, -2, -1, -1, -3, -2, -2, -1, -2] discomfortable -1.6 0.8 [-1, -1, -1, -2, -3, -1, -2, -1, -3, -1] discomforted -1.6 0.8 [-1, -1, -1, -2, -3, -3, -1, -1, -1, -2] discomforting -1.6 1.11355 [-1, -2, -1, -1, -2, 1, -3, -2, -3, -2] discomforts -1.3 0.9 [-2, -1, -2, -1, -1, -2, -2, -1, 1, -2] disconsolate -2.3 0.78102 [-1, -2, -2, -3, -2, -2, -2, -4, -3, -2] disconsolation -1.7 0.45826 [-2, -2, -1, -2, -1, -1, -2, -2, -2, -2] discontented -1.8 0.9798 [-1, -3, -1, -2, -4, -2, -1, -2, -1, -1] discord -1.7 0.64031 [-3, -2, -2, -2, -2, -1, -1, -1, -1, -2] discounted 0.2 1.249 [-1, 0, 3, -1, 0, 1, 1, 1, -1, -1] discourage -1.8 0.6 [-2, -2, -1, -2, -1, -1, -2, -2, -3, -2] discourageable -1.2 0.9798 [-1, -2, -1, 1, -1, -1, -1, -2, -3, -1] discouraged -1.7 0.45826 [-2, -1, -2, -2, -2, -2, -1, -1, -2, -2] discouragement -2.0 0.89443 [-4, -1, -2, -2, -1, -1, -3, -2, -2, -2] discouragements -1.8 0.6 [-2, -2, -2, -1, -1, -3, -2, -1, -2, -2] discourager -1.7 0.78102 [-2, -1, -3, -2, -1, -3, -1, -2, -1, -1] discouragers -1.9 0.53852 [-2, -2, -2, -2, -1, -1, -3, -2, -2, -2] discourages -1.9 0.53852 [-2, -1, -2, -2, -2, -2, -1, -3, -2, -2] discouraging -1.9 0.7 [-2, -2, -2, -3, -1, -1, -2, -1, -2, -3] discouragingly -1.8 0.87178 [-2, -1, -3, -1, -1, -3, -2, -1, -3, -1] discredited -1.9 0.53852 [-2, -2, -2, -2, -1, -3, -1, -2, -2, -2] disdain -2.1 0.3 [-3, -2, -2, -2, -2, -2, -2, -2, -2, -2] disgrace -2.2 0.74833 [-2, -4, -1, -2, -2, -2, -2, -3, -2, -2] disgraced -2.0 0.44721 [-3, -2, -2, -2, -1, -2, -2, -2, -2, -2] disguise -1.0 1.09545 [-2, -1, 0, 0, 0, 0, -3, -2, -2, 0] disguised -1.1 1.04403 [-3, 0, 0, -1, -1, 0, -3, -1, -1, -1] disguises -1.0 0.63246 [-2, 0, 0, -1, -1, -1, -2, -1, -1, -1] disguising -1.3 0.78102 [0, -2, -1, -1, -1, -2, -1, -1, -3, -1] disgust -2.9 0.7 [-3, -3, -4, -2, -3, -3, -4, -2, -3, -2] disgusted -2.4 0.91652 [-4, -3, -3, -1, -3, -1, -2, -2, -2, -3] disgustedly -3.0 0.89443 [-2, -3, -4, -4, -2, -4, -4, -2, -3, -2] disgustful -2.6 0.4899 [-3, -3, -2, -2, -2, -2, -3, -3, -3, -3] disgusting -2.4 1.11355 [-3, -2, -3, -4, -1, -3, -1, -4, -1, -2] disgustingly -2.9 0.7 [-3, -3, -4, -3, -3, -2, -2, -4, -2, -3] disgusts -2.1 0.53852 [-2, -2, -3, -2, -2, -2, -2, -3, -1, -2] dishearten -2.0 0.63246 [-3, -1, -2, -3, -2, -2, -1, -2, -2, -2] disheartened -2.2 0.74833 [-2, -2, -2, -1, -2, -2, -4, -3, -2, -2] disheartening -1.8 1.32665 [-2, -2, -2, -3, -2, 2, -2, -2, -3, -2] dishearteningly -2.0 0.63246 [-2, -3, -2, -1, -2, -2, -2, -3, -2, -1] disheartenment -2.3 0.45826 [-3, -2, -3, -2, -2, -2, -2, -3, -2, -2] disheartenments -2.2 0.87178 [-2, -3, -3, -3, -3, -1, -1, -1, -2, -3] disheartens -2.2 0.4 [-3, -2, -2, -2, -3, -2, -2, -2, -2, -2] dishonest -2.7 0.9 [-3, -2, -1, -4, -3, -2, -4, -3, -3, -2] disillusion -1.0 1.18322 [-2, 0, -2, -1, -2, 1, -2, -1, 1, -2] disillusioned -1.9 0.7 [-2, -2, -3, -2, -3, -1, -1, -1, -2, -2] disillusioning -1.3 1.00499 [-2, -2, 1, -2, 0, -2, -2, -1, -1, -2] disillusionment -1.7 0.78102 [-1, -3, -2, -3, -1, -2, -2, -1, -1, -1] disillusionments -1.5 1.0247 [-2, 1, -3, -2, -1, -1, -2, -1, -2, -2] disillusions -1.6 0.4899 [-2, -2, -2, -1, -1, -1, -2, -2, -1, -2] disinclined -1.1 0.53852 [0, -1, -1, -1, -1, -1, -1, -2, -2, -1] disjointed -1.3 0.45826 [-1, -1, -2, -1, -1, -2, -1, -2, -1, -1] desagrada -1.6 0.4899 [-2, -1, -1, -2, -2, -1, -2, -1, -2, -2] disliked -1.7 0.64031 [-2, -3, -2, -1, -1, -1, -2, -2, -1, -2] dislikes -1.7 0.78102 [-2, -2, -1, -1, -2, -1, -3, -3, -1, -1] disliking -1.3 0.45826 [-1, -1, -2, -2, -2, -1, -1, -1, -1, -1] dismal -3.0 1.0 [-2, -1, -4, -4, -3, -2, -3, -4, -4, -3] dismay -1.8 0.87178 [-3, -1, -1, -3, -1, -1, -3, -1, -2, -2] dismayed -1.9 0.9434 [-1, -2, -1, -3, -4, -1, -2, -2, -1, -2] dismaying -2.2 0.9798 [-2, -3, -2, -3, -3, 0, -2, -1, -3, -3] dismayingly -1.9 0.83066 [-2, -3, -2, -3, -2, -1, -2, -2, 0, -2] dismays -1.8 1.07703 [-1, -1, -4, -3, -2, -1, -2, 0, -2, -2] disorder -1.7 0.64031 [-2, -1, -1, -2, -2, -1, -3, -1, -2, -2] desorganitzat -1.2 0.4 [-1, -1, -1, -1, -1, -2, -1, -2, -1, -1] disoriented -1.5 0.67082 [-2, -2, -1, 0, -1, -2, -2, -1, -2, -2] disparage -2.0 0.44721 [-2, -2, -2, -1, -2, -2, -2, -3, -2, -2] disparaged -1.4 0.8 [-1, -2, -2, -3, -1, -1, -1, -2, 0, -1] disparages -1.6 0.8 [-1, -2, -3, -2, -1, -1, -2, -2, 0, -2] disparaging -2.2 0.6 [-3, -1, -2, -2, -2, -3, -3, -2, -2, -2] displeased -1.9 0.7 [-3, -2, -1, -1, -3, -2, -2, -1, -2, -2] disputa -1.7 0.78102 [-1, -3, -1, -1, -2, -1, -2, -2, -3, -1] disputed -1.4 0.66332 [-2, -2, -2, -2, 0, -1, -1, -1, -1, -2] disputes -1.1 1.64012 [-2, -2, -2, 2, -3, -1, -2, 2, -1, -2] disputing -1.7 0.64031 [-2, -2, -2, -2, -1, -1, -3, -1, -1, -2] disqualified -1.8 0.6 [-1, -2, -1, -2, -1, -2, -2, -3, -2, -2] disquiet -1.3 0.9 [-1, -2, -2, -1, -1, -1, 1, -2, -2, -2] disregard -1.1 0.53852 [-1, -1, -2, -1, -1, -2, -1, -1, 0, -1] disregarded -1.6 0.4899 [-1, -1, -2, -2, -2, -2, -1, -2, -1, -2] disregarding -0.9 0.53852 [-1, 0, -1, 0, -2, -1, -1, -1, -1, -1] disregards -1.4 0.4899 [-1, -1, -2, -1, -2, -2, -2, -1, -1, -1] disrespect -1.8 0.6 [-2, -2, -2, -1, -2, -2, -1, -3, -1, -2] disrespected -2.0 0.63246 [-2, -2, -2, -2, -2, -3, -3, -1, -1, -2] disruption -1.5 0.67082 [-1, -1, -1, -2, -1, -3, -2, -2, -1, -1] disruptions -1.4 0.4899 [-1, -2, -1, -1, -1, -2, -2, -2, -1, -1] disruptive -1.3 1.00499 [-4, 0, -1, -1, -1, -1, -1, -1, -2, -1] dissatisfaction -2.2 0.74833 [-4, -2, -2, -2, -1, -3, -2, -2, -2, -2] dissatisfactions -1.9 0.83066 [-1, -3, -3, -1, -2, -1, -2, -2, -1, -3] dissatisfactory -2.0 0.63246 [-2, -2, -3, -1, -2, -3, -2, -2, -1, -2] dissatisfied -1.6 0.66332 [-2, -3, -1, -2, -1, -1, -2, -2, -1, -1] dissatisfies -1.8 0.74833 [-3, -3, -1, -1, -2, -1, -2, -2, -2, -1] dissatisfy -2.2 0.6 [-2, -3, -2, -2, -2, -2, -3, -3, -1, -2] dissatisfying -2.4 0.91652 [-3, -1, -4, -3, -2, -1, -2, -2, -3, -3] distort -1.3 0.45826 [-2, -1, -1, -1, -2, -1, -1, -1, -1, -2] destorsionat -1.7 0.78102 [-3, -1, -3, -1, -2, -1, -2, -2, -1, -1] distorting -1.1 0.53852 [0, -1, -1, -1, -2, -1, -1, -1, -2, -1] distorts -1.4 0.4899 [-2, -1, -1, -1, -2, -2, -2, -1, -1, -1] distract -1.2 0.6 [-1, -1, 0, -2, -1, -1, -1, -2, -1, -2] distractable -1.3 1.00499 [-2, 0, 1, -2, -2, -1, -1, -2, -2, -2] distracted -1.4 0.66332 [-1, -3, -1, -2, -2, -1, -1, -1, -1, -1] distractedly -0.9 0.7 [-1, -1, 0, -2, -1, 0, -1, 0, -1, -2] distractibility -1.3 1.1 [-1, -1, -3, -1, 0, -3, -2, 0, -2, 0] distractible -1.5 0.92195 [-1, -2, -1, -1, -4, -1, -1, -1, -2, -1] distracting -1.2 0.4 [-2, -1, -1, -1, -1, -1, -2, -1, -1, -1] distractingly -1.4 1.0198 [-4, 0, -1, -1, -1, -2, -1, -1, -2, -1] distraction -1.6 0.66332 [-1, -2, -2, -1, -1, -3, -1, -1, -2, -2] distractions -1.0 0.0 [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1] distractive -1.6 0.4899 [-2, -2, -1, -1, -1, -1, -2, -2, -2, -2] distracts -1.3 0.45826 [-1, -1, -2, -1, -1, -2, -1, -2, -1, -1] distraught -2.6 0.8 [-2, -3, -2, -3, -4, -2, -3, -3, -1, -3] distress -2.4 0.8 [-1, -2, -2, -3, -3, -4, -3, -2, -2, -2] distressed -1.8 0.6 [-2, -2, -2, -3, -2, -2, -1, -1, -2, -1] distresses -1.6 0.66332 [-2, -1, -1, -2, -2, -2, -1, -1, -3, -1] distressful -2.2 0.6 [-1, -3, -3, -2, -2, -3, -2, -2, -2, -2] distressfully -1.7 1.1 [-1, -3, -2, 1, -3, -1, -2, -2, -2, -2] distressfulness -2.4 0.66332 [-2, -3, -2, -3, -3, -3, -2, -1, -3, -2] distressing -1.7 1.18743 [-3, -3, -1, -1, -2, -2, -3, -2, 1, -1] distressingly -2.2 0.74833 [-3, -1, -2, -3, -3, -3, -2, -2, -2, -1] distrust -1.8 0.87178 [-1, -2, -2, -2, -1, -1, -2, -4, -1, -2] distrusted -2.4 0.66332 [-1, -3, -3, -3, -2, -2, -3, -2, -2, -3] distrustful -2.1 0.83066 [-1, -3, -2, -2, -3, -1, -1, -3, -2, -3] distrustfully -1.8 0.6 [-2, -1, -1, -2, -1, -2, -3, -2, -2, -2] distrustfulness -1.6 0.66332 [-2, -1, -2, -1, -2, -1, -1, -3, -1, -2] distrusting -2.1 0.83066 [-1, -2, -2, -2, -3, -3, -1, -3, -1, -3] distrusts -1.3 0.45826 [-1, -1, -2, -1, -2, -1, -2, -1, -1, -1] disturb -1.7 0.45826 [-2, -1, -1, -2, -2, -2, -1, -2, -2, -2] disturbance -1.6 0.8 [-1, -2, -1, -2, -2, -3, -1, -2, 0, -2] disturbances -1.4 0.66332 [-1, -1, -1, -2, -1, -1, -1, -1, -3, -2] disturbed -1.6 0.4899 [-2, -2, -1, -1, -2, -2, -1, -2, -1, -2] disturber -1.4 0.4899 [-2, -1, -1, -2, -2, -1, -1, -2, -1, -1] disturbers -2.1 0.53852 [-2, -2, -2, -2, -2, -3, -3, -2, -1, -2] disturbing -2.3 0.45826 [-2, -2, -3, -3, -2, -2, -3, -2, -2, -2] disturbingly -2.3 0.78102 [-2, -2, -1, -3, -4, -3, -2, -2, -2, -2] disturbs -1.9 0.53852 [-2, -2, -1, -2, -3, -2, -1, -2, -2, -2] dithering -0.5 0.92195 [0, 0, 0, 0, 1, -1, -2, -2, -1, 0] divination 1.7 1.1 [2, 3, 0, 1, 2, 1, 3, 3, 2, 0] divinations 1.1 1.04403 [1, 0, 1, 2, 2, 0, 3, 2, 0, 0] divinatory 1.6 1.42829 [4, 1, 0, 0, 1, 3, 3, 0, 1, 3] divine 2.6 0.8 [3, 3, 3, 2, 1, 2, 3, 4, 2, 3] divined 0.8 1.16619 [1, 0, 3, 0, 0, 1, 0, 3, 0, 0] divinely 2.9 0.7 [3, 2, 3, 3, 2, 4, 3, 2, 4, 3] diviner 0.3 0.9 [0, 0, 3, 0, 0, 0, 0, 0, 0, 0] diviners 1.2 1.16619 [0, 1, 0, 2, 2, 0, 3, 1, 3, 0] divines 0.8 1.249 [0, 0, 3, 0, 0, 0, 3, 2, 0, 0] divinest 2.7 0.78102 [3, 4, 2, 4, 2, 2, 2, 3, 2, 3] diving 0.3 0.45826 [1, 0, 0, 0, 0, 1, 0, 1, 0, 0] divining 0.9 1.37477 [0, -1, 2, 0, 1, 0, 2, 4, 1, 0] divinise 0.5 1.36015 [0, 2, 0, 0, 0, 0, 0, -2, 2, 3] divinities 1.8 1.46969 [1, 3, 3, 4, 0, 0, 1, 0, 3, 3] divinity 2.7 1.00499 [4, 4, 2, 3, 3, 1, 2, 4, 2, 2] divinize 2.3 1.00499 [4, 2, 2, 3, 4, 1, 1, 2, 2, 2] dizzy -0.9 0.3 [-1, -1, -1, -1, -1, -1, -1, -1, 0, -1] dodging -0.4 0.8 [-1, -1, 0, 1, 0, -1, 0, 0, -2, 0] dodgy -0.9 0.9434 [-1, -1, -1, -3, -1, 1, -1, -1, -1, 0] dolorous -2.2 0.6 [-2, -2, -2, -3, -3, -3, -2, -2, -1, -2] dominance 0.8 0.87178 [2, 0, 0, 2, 1, 0, 0, 1, 2, 0] dominances -0.1 0.9434 [-1, 0, 1, 1, 0, -1, 0, 1, 0, -2] dominantly 0.2 1.16619 [-2, 0, 0, -1, 2, 1, 2, 0, 0, 0] dominants 0.2 1.16619 [0, 2, -1, 0, -1, -1, -1, 1, 1, 2] dominate -0.5 0.92195 [0, -1, 1, -1, 1, -1, -2, 0, -1, -1] dominates 0.2 1.249 [1, 0, -2, -1, 1, -1, 2, 0, 0, 2] dominating -1.2 1.98997 [-4, -1, -4, -1, -3, -1, -1, 2, 2, -1] domination -0.2 0.9798 [0, 1, 0, -1, -1, -1, 0, 2, -1, -1] dominations -0.3 0.45826 [0, 0, 0, 0, 0, -1, 0, -1, -1, 0] dominative -0.7 1.18743 [-1, -1, -2, -2, -1, -1, -1, 2, 1, -1] dominators -0.4 1.8 [-1, -2, -2, -2, 0, 2, 2, -3, 2, 0] dominatrices -0.2 1.6 [-3, 0, 2, 0, -2, -2, 0, 1, 2, 0] dominatrix -0.5 0.92195 [0, 0, -1, 0, 0, 1, 0, -1, -2, -2] dominatrixes 0.6 1.35647 [0, 4, 0, -1, 0, 2, 1, 0, 0, 0] doom -1.7 1.26886 [-2, -1, -1, -4, -2, -2, 1, -3, -1, -2] doomed -3.2 0.74833 [-3, -3, -4, -4, -4, -2, -4, -3, -3, -2] doomful -2.1 0.7 [-3, -2, -3, -1, -2, -3, -2, -1, -2, -2] dooming -2.8 0.4 [-2, -3, -2, -3, -3, -3, -3, -3, -3, -3] dooms -1.1 1.57797 [1, -3, -1, -3, -2, -1, -3, 1, 1, -1] doomsayer -0.7 1.41774 [2, -1, -2, -1, 1, -2, -2, -1, 1, -2] doomsayers -1.7 0.78102 [-1, -2, -3, 0, -2, -2, -2, -1, -2, -2] doomsaying -1.5 1.28452 [-3, -2, -2, 0, 1, 0, -3, -2, -2, -2] doomsayings -1.5 0.92195 [-2, -1, -1, -2, -2, 0, 0, -2, -3, -2] doomsday -2.8 1.249 [-3, -1, -3, -4, -3, -4, 0, -4, -3, -3] doomsdayer -2.2 1.249 [-3, -1, -4, -3, -4, -3, -1, -1, -1, -1] doomsdays -2.4 1.85472 [-3, -2, -4, 1, -4, -3, -2, -4, 1, -4] doomster -2.2 0.87178 [-2, -1, -2, -3, -1, -3, -1, -3, -3, -3] doomsters -1.6 0.8 [-3, -1, -2, -2, 0, -2, -2, -1, -1, -2] doomy -1.1 1.37477 [2, -2, -1, -2, -2, -2, -2, 1, -1, -2] dork -1.4 0.66332 [-1, -2, -2, -1, -1, -1, -3, -1, -1, -1] dorkier -1.1 0.53852 [-1, -1, -1, -1, -2, 0, -1, -2, -1, -1] dorkiest -1.2 0.74833 [-1, -2, -1, -3, -1, 0, -1, -1, -1, -1] dorks -0.5 0.67082 [-1, 1, -1, -1, -1, -1, 0, 0, -1, 0] dorky -1.1 1.04403 [-1, 0, -1, 1, -1, -1, -3, -2, -2, -1] dubte -1.5 0.5 [-1, -1, -2, -2, -1, -1, -2, -1, -2, -2] doubtable -1.5 0.5 [-1, -1, -2, -1, -2, -1, -2, -2, -1, -2] doubted -1.1 1.22066 [-1, -2, -2, 2, -1, -1, -2, -2, -2, 0] doubter -1.6 0.91652 [-1, -3, -2, -1, -1, -1, -2, -2, -3, 0] doubters -1.3 0.45826 [-1, -1, -1, -1, -1, -2, -1, -2, -2, -1] doubtful -1.4 0.4899 [-1, -1, -2, -1, -2, -2, -1, -1, -2, -1] doubtfully -1.2 0.4 [-1, -1, -1, -1, -1, -1, -2, -1, -1, -2] doubtfulness -1.2 0.4 [-2, -1, -1, -1, -1, -1, -1, -1, -1, -2] doubting -1.4 0.4899 [-1, -1, -1, -2, -2, -1, -1, -1, -2, -2] doubtingly -1.4 0.4899 [-2, -2, -1, -1, -1, -1, -1, -2, -2, -1] doubtless 0.9 1.51327 [2, 2, 1, 2, -2, 2, -2, 1, 1, 2] doubtlessly 1.2 0.9798 [2, 1, 1, 2, 0, -1, 2, 1, 2, 2] doubtlessness 0.8 0.9798 [2, 1, 2, 0, 0, 0, 2, -1, 1, 1] doubts -1.2 0.6 [-2, -1, -1, -1, -2, -2, -1, 0, -1, -1] douche -1.5 1.68819 [-3, -2, -3, 1, 1, -2, -3, -2, 1, -3] douchebag -3.0 0.44721 [-3, -3, -3, -3, -3, -3, -2, -3, -4, -3] downcast -1.8 0.74833 [-1, -1, -1, -2, -2, -2, -1, -3, -3, -2] downhearted -2.3 0.78102 [-1, -2, -2, -4, -2, -2, -2, -3, -3, -2] downside -1.0 0.7746 [-1, -1, -1, -1, -1, -1, -2, 1, -2, -1] drag -0.9 0.83066 [-1, -2, -1, -1, -2, -1, -1, 1, 0, -1] dragged -0.2 1.07703 [-2, -1, 0, 0, -1, 0, 0, 1, 2, -1] drags -0.7 0.64031 [0, -1, 0, -1, -1, -2, -1, 0, 0, -1] drained -1.5 0.5 [-1, -1, -2, -2, -1, -2, -1, -2, -1, -2] dread -2.0 0.63246 [-2, -3, -2, -2, -2, -2, -3, -1, -1, -2] dreaded -2.7 0.64031 [-2, -3, -3, -3, -4, -3, -2, -2, -2, -3] dreadful -1.9 1.86815 [-4, -2, -2, 2, -1, -4, -1, 0, -3, -4] dreadfully -2.7 1.26886 [-4, -4, -3, -4, -3, -1, -2, -1, -1, -4] dreadfulness -3.2 0.87178 [-3, -4, -2, -3, -4, -4, -2, -2, -4, -4] dreadfuls -2.4 1.2 [-4, -3, -3, -2, -3, -2, -4, 0, -1, -2] dreading -2.4 0.8 [-3, -2, -2, -2, -2, -2, -3, -4, -3, -1] dreadlock -0.4 0.66332 [0, 0, 0, 0, 0, -1, -2, 0, -1, 0] dreadlocks -0.2 0.9798 [0, 0, 0, 0, 0, -1, -2, 2, 0, -1] dreadnought -0.6 1.35647 [-2, 0, 0, 0, -3, 0, -1, -2, 0, 2] dreadnoughts -0.4 0.66332 [0, -1, -1, 0, 0, 0, 0, 0, -2, 0] dreads -1.4 1.42829 [0, -1, 0, 0, -3, -3, 0, -4, -2, -1] dream 1.0 1.18322 [0, 1, 2, 0, 0, 3, 0, 3, 1, 0] dreams 1.7 1.1 [2, 2, 3, 0, 1, 1, 1, 4, 1, 2] dreary -1.4 0.4899 [-1, -1, -2, -1, -1, -2, -2, -1, -2, -1] droopy -0.8 0.74833 [-1, -1, 0, -1, -2, 0, 0, -1, 0, -2] drop -1.1 0.53852 [0, -1, -1, -1, -2, -1, -2, -1, -1, -1] drown -2.7 1.00499 [-4, -2, -2, -4, -4, -2, -3, -1, -3, -2] drowned -2.9 0.7 [-2, -3, -3, -3, -2, -4, -4, -2, -3, -3] drowns -2.2 1.6 [-3, -3, -3, -4, -2, -3, -1, -2, 2, -3] drunk -1.4 0.91652 [-3, -1, 0, -2, 0, -1, -1, -2, -2, -2] dubious -1.5 0.5 [-1, -2, -2, -1, -1, -2, -1, -1, -2, -2] dud -1.0 0.89443 [-1, -1, -1, 0, -3, 0, -1, 0, -1, -2] dull -1.7 0.45826 [-2, -2, -2, -1, -2, -2, -2, -1, -1, -2] dullard -1.6 0.66332 [-2, -1, -1, -2, -2, -1, -1, -2, -1, -3] dullards -1.8 0.87178 [-1, -3, -1, -1, -3, -1, -1, -2, -3, -2] dulled -1.5 0.5 [-2, -1, -2, -1, -1, -1, -2, -2, -1, -2] duller -1.7 0.64031 [-3, -1, -2, -2, -2, -1, -2, -1, -1, -2] dullest -1.7 1.00499 [-1, -4, -1, -1, -2, -3, -2, -1, -1, -1] dulling -1.1 0.7 [-1, -2, 0, -1, -2, -2, 0, -1, -1, -1] dullish -1.1 0.53852 [-2, -1, -1, -1, -1, -1, -1, -1, 0, -2] dullness -1.4 0.8 [-1, -1, -1, -1, -1, -1, -3, -1, -3, -1] dullnesses -1.9 1.04403 [-3, -2, -1, -1, -3, -1, -4, -1, -2, -1] dulls -1.0 0.44721 [-1, -1, -1, -1, -1, -1, 0, -1, -1, -2] dullsville -2.4 0.8 [-2, -2, -4, -3, -2, -2, -3, -2, -3, -1] dully -1.1 0.3 [-1, -1, -1, -1, -1, -1, -1, -1, -1, -2] dumb -2.3 0.9 [-4, -2, -2, -2, -2, -2, -4, -2, -2, -1] dumbass -2.6 1.0198 [-3, -3, -4, -4, -1, -2, -3, -3, -1, -2] dumbbell -0.8 0.9798 [0, -1, -3, -2, 0, -1, 0, 0, -1, 0] dumbbells -0.2 0.4 [0, -1, 0, 0, 0, 0, 0, -1, 0, 0] dumbcane -0.3 0.45826 [0, 0, 0, 0, 0, -1, -1, 0, -1, 0] dumbcanes -0.6 1.2 [0, 0, -1, -1, -1, 2, 0, -1, -3, -1] dumbed -1.4 0.4899 [-2, -1, -2, -2, -2, -1, -1, -1, -1, -1] dumber -1.5 0.5 [-2, -1, -2, -1, -2, -1, -1, -2, -2, -1] dumbest -2.3 1.00499 [-3, -1, -3, -4, -2, -1, -2, -3, -1, -3] dumbfound -0.1 1.92094 [3, -2, -1, -1, 1, 1, -3, 3, -1, -1] dumbfounded -1.6 1.11355 [-2, 0, -2, 0, -2, -1, -4, -1, -2, -2] dumbfounder -1.0 0.89443 [-2, 0, 0, 0, -2, -1, -2, 0, -2, -1] dumbfounders -1.0 0.89443 [-1, -3, -1, 0, -2, 0, -1, 0, -1, -1] dumbfounding -0.8 0.74833 [-1, -2, 0, -1, -1, 0, 0, -1, 0, -2] dumbfounds -0.3 1.26886 [0, -1, -1, 0, 0, -1, -1, -2, 0, 3] dumbhead -2.6 0.66332 [-3, -4, -3, -2, -2, -3, -3, -2, -2, -2] dumbheads -1.9 0.83066 [-2, -2, -2, -1, -2, -1, -2, -4, -1, -2] dumbing -0.5 1.0247 [-1, 2, -1, 0, -1, -2, -1, 0, 0, -1] dumbly -1.3 1.00499 [-2, -1, -2, -3, 1, -2, -1, -1, -1, -1] dumbness -1.9 0.53852 [-2, -2, -2, -2, -2, -3, -2, -2, -1, -1] dumbs -1.5 0.67082 [-1, -1, -1, -3, -2, -1, -2, -1, -2, -1] dumbstruck -1.0 1.34164 [-1, -2, 0, 0, -2, 1, -3, 1, -2, -2] dumbwaiter 0.2 1.07703 [0, 0, 0, 0, 2, 0, 2, 0, -2, 0] dumbwaiters -0.1 0.3 [0, 0, 0, 0, 0, 0, -1, 0, 0, 0] dump -1.6 0.91652 [-3, -2, -1, -2, -1, -3, -2, -1, -1, 0] dumpcart -0.6 0.8 [0, -2, -1, 0, 0, 0, -1, 0, -2, 0] dumped -1.7 0.78102 [-2, -3, -2, -1, -1, -1, -3, -2, -1, -1] dumper -1.2 0.87178 [-2, -3, -1, -1, -1, -2, 0, -1, 0, -1] dumpers -0.8 0.6 [0, 0, -2, -1, -1, 0, -1, -1, -1, -1] dumpier -1.4 0.66332 [-2, -1, -2, -1, -1, -2, 0, -2, -1, -2] dumpiest -1.6 1.35647 [-1, -2, -2, -3, -2, -4, 1, 0, -1, -2] dumpiness -1.2 0.6 [-2, -1, 0, -1, -1, -2, -1, -2, -1, -1] dumping -1.3 1.1 [-3, -2, -2, 0, -2, -1, -1, 1, -1, -2] dumpings -1.1 0.83066 [-2, 0, -1, -1, 0, -1, -2, -2, 0, -2] dumpish -1.8 0.6 [-2, -1, -2, -3, -2, -2, -1, -2, -2, -1] dumpling 0.4 0.91652 [0, 0, 1, 0, -1, 2, 2, 0, 0, 0] dumplings -0.3 1.26886 [0, 0, 0, 0, 2, 0, 0, 0, -2, -3] dumps -1.7 0.9 [-3, -2, -3, -1, -1, -3, -1, -1, -1, -1] dumpster -0.6 0.91652 [0, -2, 0, -2, 0, 0, 0, -2, 0, 0] dumpsters -1.0 0.89443 [0, -1, 0, -2, -2, -2, 0, 0, -1, -2] dumpy -1.7 0.78102 [-3, -2, -3, -1, -1, -2, -2, -1, -1, -1] dupe -1.5 0.5 [-2, -2, -1, -1, -2, -1, -2, -1, -2, -1] duped -1.8 0.4 [-2, -2, -1, -2, -2, -2, -2, -1, -2, -2] dwell 0.5 0.92195 [2, 1, -1, 0, -1, 1, 1, 1, 1, 0] dwelled 0.4 0.66332 [2, 0, 0, 0, 0, 1, 1, 0, 0, 0] dweller 0.3 0.64031 [2, 0, 0, 0, 0, 0, 1, 0, 0, 0] dwellers -0.3 0.9 [-3, 0, 0, 0, 0, 0, 0, 0, 0, 0] dwelling 0.1 0.53852 [0, 1, 0, 1, 0, 0, 0, -1, 0, 0] dwells -0.1 0.53852 [0, 0, 0, 0, -1, 1, -1, 0, 0, 0] dinamic 1.6 0.8 [1, 1, 1, 3, 1, 1, 2, 3, 2, 1] dynamical 1.2 0.87178 [1, 2, 0, 1, 0, 2, 2, 2, 2, 0] dynamically 1.5 1.0247 [2, 0, 3, 2, 0, 0, 2, 2, 2, 2] dynamics 1.1 1.13578 [2, 3, 0, 0, 0, 2, 2, 0, 2, 0] dinamisme 1.6 1.11355 [0, 2, 0, 2, 0, 2, 3, 3, 2, 2] dynamisms 1.2 0.9798 [2, 0, 2, 0, 0, 2, 2, 2, 0, 2] dynamist 1.4 1.0198 [0, 2, 0, 2, 0, 1, 3, 2, 2, 2] dynamistic 1.5 1.0247 [3, 1, 1, 2, 1, 3, 2, 0, 2, 0] dynamists 0.9 0.83066 [1, 0, 0, 0, 0, 2, 2, 1, 2, 1] dinamita 0.7 2.2383 [-3, 2, 3, 1, 2, 0, 2, 2, 2, -4] dynamited -0.9 1.04403 [0, 0, 0, -1, -1, 0, -2, 0, -2, -3] dinamiter -1.2 0.87178 [-1, 0, -1, -1, -2, 0, -1, -1, -2, -3] dinamitera -1.2 0.87178 [-1, 0, -1, -1, -2, 0, -1, -1, -2, -3] dynamiters 0.4 1.42829 [0, 0, 0, -3, 1, 0, 2, 2, 2, 0] dynamites -0.3 1.73494 [0, 0, 4, -1, -1, 0, 0, 0, -2, -3] dynamitic 0.9 1.3 [2, 0, 1, -2, 2, 1, 1, 3, 0, 1] dynamiting 0.2 1.32665 [-2, 0, 0, 2, -1, -1, 0, 2, 2, 0] dynamometer 0.3 0.64031 [0, 0, 0, 0, 1, 0, 0, 2, 0, 0] dynamometers 0.3 0.45826 [0, 0, 0, 0, 0, 1, 0, 1, 1, 0] dynamometric 0.3 0.9 [0, 0, 0, 0, 0, 2, 0, 0, 2, -1] dynamometry 0.6 1.28062 [-2, 0, 0, 0, 0, 2, 2, 2, 0, 2] dynamos 0.3 0.64031 [1, 0, 0, 0, 0, 0, 0, 0, 2, 0] dynamotor 0.6 0.91652 [0, 2, 0, 0, 0, 0, 2, 0, 2, 0] dysfunction -1.8 0.6 [-2, -3, -2, -1, -2, -1, -2, -1, -2, -2] eager 1.5 0.67082 [1, 3, 1, 2, 2, 2, 1, 1, 1, 1] eagerly 1.6 0.66332 [0, 1, 2, 2, 2, 2, 2, 1, 2, 2] eagerness 1.7 0.45826 [2, 2, 2, 2, 1, 1, 2, 2, 2, 1] eagers 1.6 0.66332 [2, 2, 3, 1, 2, 1, 1, 1, 2, 1] earnest 2.3 0.64031 [3, 2, 3, 1, 2, 2, 2, 3, 3, 2] ease 1.5 0.92195 [1, 1, 1, 0, 2, 1, 2, 3, 3, 1] eased 1.2 0.74833 [2, 0, 1, 0, 2, 2, 1, 1, 1, 2] easeful 1.5 1.0247 [2, 1, 1, 2, 1, 0, 3, 2, 0, 3] easefully 1.4 0.4899 [2, 2, 1, 1, 1, 1, 2, 2, 1, 1] easel 0.3 0.45826 [0, 0, 0, 0, 1, 1, 0, 0, 0, 1] easement 1.6 0.91652 [0, 1, 2, 3, 2, 1, 2, 1, 3, 1] easements 0.4 1.11355 [0, 0, 0, 1, 2, -2, 1, 0, 2, 0] eases 1.3 0.78102 [2, 0, 1, 0, 2, 2, 2, 1, 1, 2] easier 1.8 0.9798 [1, 1, 2, 2, 4, 3, 2, 1, 1, 1] easiest 1.8 1.07703 [2, 4, 1, 3, 2, 0, 2, 2, 1, 1] easily 1.4 0.4899 [2, 1, 1, 2, 1, 2, 1, 2, 1, 1] easiness 1.6 0.66332 [2, 1, 1, 2, 3, 2, 1, 1, 2, 1] easing 1.0 0.63246 [0, 0, 2, 1, 1, 2, 1, 1, 1, 1] facil 1.9 1.04403 [1, 4, 2, 1, 1, 3, 1, 3, 2, 1] easygoing 1.3 0.45826 [1, 1, 1, 1, 1, 1, 2, 2, 2, 1] easygoingness 1.5 0.67082 [1, 2, 1, 2, 1, 3, 1, 2, 1, 1] ecstacy 3.3 1.18743 [4, 4, 3, 4, 4, 0, 3, 3, 4, 4] ecstasies 2.3 1.34536 [3, 3, 2, 4, 3, 1, 3, -1, 2, 3] ecstasy 2.9 1.75784 [4, 3, 3, 4, 4, 2, -2, 3, 4, 4] ecstatic 2.3 1.34536 [3, 4, 3, 4, 1, 1, 1, 4, 1, 1] ecstatically 2.8 1.93907 [3, 4, -1, 4, 4, 4, -1, 3, 4, 4] ecstatics 2.9 0.83066 [1, 3, 4, 4, 3, 3, 3, 2, 3, 3] eerie -1.5 0.67082 [-1, -1, -2, -2, -1, -1, -2, -1, -3, -1] eery -0.9 1.04403 [-3, -1, -2, -1, -2, 0, 0, 0, 0, 0] effective 2.1 0.83066 [2, 2, 2, 1, 3, 4, 2, 1, 2, 2] effectively 1.9 0.7 [1, 2, 1, 2, 2, 1, 3, 3, 2, 2] efficiencies 1.6 0.4899 [2, 1, 1, 2, 2, 2, 1, 2, 2, 1] efficiency 1.5 0.5 [2, 1, 2, 2, 1, 2, 1, 1, 2, 1] efficient 1.8 0.9798 [1, 2, 1, 1, 2, 3, 3, 0, 2, 3] efficiently 1.7 0.78102 [1, 3, 2, 1, 3, 1, 1, 2, 2, 1] effin -2.3 1.18743 [0, -3, -3, -3, -2, -1, -4, -1, -3, -3] egotism -1.4 0.91652 [-2, -3, -1, -2, -2, 0, 0, -1, -2, -1] egotisms -1.0 0.7746 [-1, -1, -1, -1, -1, 0, 0, -1, -3, -1] egotist -2.3 0.9 [-2, -1, -2, -3, -4, -2, -3, -3, -1, -2] egotistic -1.4 1.0198 [-2, -1, -1, -1, -2, 1, -3, -2, -1, -2] egotistical -0.9 1.57797 [-1, -2, -2, -1, -2, 1, -3, 2, 1, -2] egotistically -1.8 0.87178 [-2, -1, -1, -2, -1, -3, -3, -1, -1, -3] egotists -1.7 0.78102 [-1, -2, 0, -2, -2, -2, -3, -1, -2, -2] elated 3.2 0.74833 [2, 4, 4, 3, 4, 3, 3, 2, 3, 4] elation 1.5 1.43178 [1, 2, -2, 2, 2, 3, 0, 3, 2, 2] elegance 2.1 0.53852 [3, 2, 2, 1, 2, 2, 3, 2, 2, 2] elegances 1.8 0.6 [2, 2, 1, 1, 2, 2, 2, 3, 2, 1] elegancies 1.6 1.0198 [2, 1, 2, 1, 1, 0, 4, 1, 2, 2] elegancy 2.1 0.53852 [3, 2, 2, 1, 2, 2, 3, 2, 2, 2] elegant 2.1 0.83066 [2, 2, 2, 1, 4, 1, 2, 3, 2, 2] elegantly 1.9 0.83066 [2, 1, 1, 3, 2, 2, 1, 3, 3, 1] embarrass -1.2 1.66132 [-2, -2, -3, -1, -2, -2, 2, 2, -2, -2] embarrassable -1.6 0.8 [-3, -2, -1, -3, -1, -1, -1, -2, -1, -1] embarrassed -1.5 0.67082 [-2, -2, -1, -2, -1, -3, -1, -1, -1, -1] embarrassedly -1.1 1.44568 [-2, -1, -2, -3, 1, -1, -1, -2, -2, 2] embarrasses -1.7 0.78102 [-2, -3, -1, -2, -1, -3, -2, -1, -1, -1] embarrassing -1.6 0.8 [-3, -1, -1, -1, -1, -2, -1, -2, -3, -1] embarrassingly -1.7 0.64031 [-2, -1, -1, -2, -1, -2, -1, -3, -2, -2] embarrassment -1.9 0.53852 [-2, -2, -1, -2, -2, -2, -2, -1, -3, -2] embarrassments -1.7 0.64031 [-2, -1, -2, -1, -1, -2, -2, -1, -2, -3] embittered -0.4 1.35647 [1, -2, -1, 1, -2, 2, 0, -1, 0, -2] embrace 1.3 1.34536 [3, 2, 1, 3, 2, -1, 2, 1, -1, 1] emergencia -1.6 2.05913 [-3, -3, -3, -3, -4, 2, 1, -1, 1, -3] emocional 0.6 1.0198 [1, -1, 0, 0, 0, 2, 0, 2, 2, 0] empathetic 1.7 1.1 [-1, 3, 2, 2, 2, 1, 3, 1, 2, 2] emptied -0.7 0.64031 [-1, 0, 0, 0, -1, -1, -1, -2, 0, -1] emptier -0.7 0.64031 [-1, 0, 0, 0, -1, -1, -1, -2, 0, -1] emptiers -0.7 0.78102 [0, 0, -1, 0, -1, -1, -2, 0, -2, 0] empties -0.7 0.64031 [-1, 0, 0, 0, -1, -1, -1, -2, 0, -1] emptiest -1.8 1.07703 [-1, -2, -2, -1, -1, -2, -3, 0, -4, -2] emptily -1.0 1.41421 [-2, 2, -1, -1, -1, 0, -4, -1, -1, -1] emptiness -1.9 0.7 [-2, -2, -3, -2, -2, -1, -1, -3, -1, -2] emptinesses -1.5 1.11803 [-1, -1, -3, -1, -1, -1, -2, 0, -4, -1] emptins -0.3 0.45826 [0, 0, 0, -1, 0, 0, 0, -1, -1, 0] buit -0.8 0.74833 [-1, -1, -1, -1, -1, -1, -2, 0, -1, 1] buida -0.8 0.74833 [-1, -1, -1, -1, -1, -1, -2, 0, -1, 1] emptying -0.6 1.0198 [2, -1, -1, 0, -1, 0, -1, -1, -2, -1] enchanted 1.6 0.8 [1, 3, 1, 2, 1, 3, 1, 2, 1, 1] encourage 2.3 0.78102 [2, 1, 3, 2, 3, 4, 2, 2, 2, 2] encouraged 1.5 0.5 [1, 2, 2, 2, 2, 2, 1, 1, 1, 1] encouragement 1.8 0.9798 [2, 1, 2, 1, 1, 3, 1, 2, 4, 1] encouragements 2.1 0.7 [3, 2, 3, 2, 1, 2, 3, 2, 2, 1] encourager 1.5 0.5 [2, 1, 2, 1, 1, 2, 1, 1, 2, 2] encouragers 1.5 0.5 [2, 2, 1, 1, 2, 2, 1, 1, 2, 1] encourages 1.9 0.53852 [2, 2, 1, 2, 2, 1, 2, 2, 2, 3] encouraging 2.4 0.66332 [2, 3, 2, 3, 3, 2, 3, 2, 1, 3] encouragingly 2.0 0.7746 [1, 1, 1, 3, 2, 2, 2, 3, 2, 3] endorse 1.3 0.9 [0, 1, 0, 1, 3, 2, 2, 2, 1, 1] endorsed 1.0 0.89443 [1, 2, 0, 1, 1, 0, 1, 0, 3, 1] endorsement 1.3 0.9 [0, 1, 2, 2, 1, 2, 0, 1, 3, 1] endorses 1.4 0.4899 [1, 2, 1, 2, 1, 1, 1, 2, 2, 1] enemies -2.2 0.6 [-2, -3, -1, -2, -2, -3, -2, -3, -2, -2] enemy -2.5 0.92195 [-3, -2, -3, -3, -3, -4, -1, -3, -1, -2] energetic 1.9 0.53852 [2, 1, 3, 2, 2, 2, 1, 2, 2, 2] energetically 1.8 0.6 [2, 2, 1, 1, 2, 2, 3, 1, 2, 2] energetics 0.3 0.64031 [1, 0, 0, 0, 0, 0, 2, 0, 0, 0] energies 0.9 1.04403 [1, 0, 0, 2, 0, 1, 3, 2, 0, 0] energise 2.2 0.4 [2, 2, 2, 2, 2, 2, 3, 2, 3, 2] energised 2.1 0.53852 [2, 3, 1, 2, 2, 2, 3, 2, 2, 2] energises 2.2 0.6 [3, 3, 2, 2, 1, 3, 2, 2, 2, 2] energising 1.9 0.7 [2, 3, 1, 2, 2, 3, 2, 1, 1, 2] energization 1.6 0.66332 [1, 2, 1, 3, 1, 1, 2, 2, 2, 1] energizations 1.5 1.11803 [1, 0, 3, 1, 3, 0, 1, 1, 2, 3] energize 2.1 0.7 [2, 2, 2, 1, 3, 2, 3, 2, 3, 1] energized 2.3 0.64031 [3, 2, 3, 3, 3, 2, 2, 2, 1, 2] energizer 2.1 0.53852 [3, 2, 2, 2, 2, 2, 2, 3, 1, 2] energizers 1.7 0.9 [2, 0, 2, 3, 3, 1, 1, 2, 2, 1] energizes 2.1 0.53852 [3, 2, 3, 2, 2, 2, 2, 2, 1, 2] energizing 2.0 0.63246 [3, 3, 2, 1, 2, 2, 1, 2, 2, 2] energy 1.1 0.83066 [0, 2, 0, 2, 1, 1, 2, 1, 2, 0] engage 1.4 0.8 [1, 2, 3, 2, 1, 1, 0, 1, 2, 1] engaged 1.7 1.1 [1, 1, 2, 2, 1, 0, 2, 3, 4, 1] engagement 2.0 1.34164 [0, 0, 3, 4, 4, 2, 1, 2, 2, 2] engagements 0.6 0.8 [1, 0, 0, 2, 0, 2, 0, 0, 1, 0] engager 1.1 0.7 [1, 1, 0, 2, 1, 0, 2, 1, 2, 1] engagers 1.0 0.7746 [1, 1, 1, 0, 2, 1, 0, 2, 2, 0] engages 1.0 0.7746 [1, 1, 0, 2, 1, 0, 1, 2, 2, 0] engaging 1.4 0.4899 [2, 2, 1, 1, 2, 1, 1, 1, 1, 2] engagingly 1.5 0.67082 [1, 2, 3, 1, 1, 1, 1, 1, 2, 2] engrossed 0.6 1.49666 [0, 2, 0, 2, -2, 2, 3, -1, 0, 0] enjoy 2.2 0.6 [3, 2, 2, 2, 3, 2, 2, 3, 2, 1] enjoyable 1.9 0.53852 [3, 2, 2, 1, 2, 1, 2, 2, 2, 2] enjoyableness 1.9 1.13578 [2, 2, 2, 2, 1, 3, 3, 3, -1, 2] enjoyably 1.8 0.4 [2, 2, 2, 1, 2, 1, 2, 2, 2, 2] enjoyed 2.3 0.64031 [2, 2, 1, 3, 3, 3, 2, 2, 2, 3] enjoyer 2.2 0.6 [2, 2, 1, 3, 3, 2, 2, 2, 2, 3] enjoyers 2.2 0.74833 [2, 4, 2, 2, 2, 2, 2, 3, 2, 1] enjoying 2.4 0.66332 [2, 2, 2, 3, 3, 3, 1, 3, 2, 3] enjoyment 2.6 0.4899 [2, 3, 2, 3, 2, 3, 2, 3, 3, 3] enjoyments 2.0 0.7746 [3, 1, 1, 3, 2, 1, 2, 2, 2, 3] enjoys 2.3 0.45826 [2, 3, 2, 2, 2, 3, 2, 3, 2, 2] enlighten 2.3 1.1 [2, 2, 1, 3, 2, 1, 1, 4, 3, 4] enlightened 2.2 0.87178 [4, 2, 3, 1, 2, 2, 1, 3, 2, 2] enlightening 2.3 0.64031 [3, 2, 2, 2, 2, 2, 2, 4, 2, 2] enlightens 1.7 1.00499 [2, 1, 1, 1, 1, 2, 4, 1, 3, 1] ennui -1.2 0.6 [-1, -1, -1, -2, -1, -1, -2, -1, 0, -2] enrage -2.6 0.91652 [-3, -3, -3, -4, -1, -1, -3, -2, -3, -3] enraged -1.7 1.79165 [-3, -3, -3, -3, 2, -1, -3, -1, 1, -3] enrages -1.8 1.6 [-3, -3, -3, -3, 1, -1, -3, -1, 1, -3] enraging -2.8 0.74833 [-4, -2, -3, -2, -2, -3, -3, -2, -4, -3] enrapture 3.0 0.63246 [2, 4, 3, 3, 4, 3, 3, 2, 3, 3] enslave -3.1 0.9434 [-3, -4, -2, -4, -4, -2, -4, -2, -4, -2] enslaved -1.7 2.41039 [3, -3, -3, -3, -4, -4, -4, 1, -1, 1] enslaves -1.6 2.15407 [2, -2, -3, -2, -4, -4, -4, 1, -1, 1] ensure 1.6 0.91652 [2, 1, 3, 1, 1, 2, 3, 2, 0, 1] ensuring 1.1 0.9434 [0, 1, 3, 1, 1, 2, 1, 0, 2, 0] enterprising 2.3 0.78102 [3, 2, 1, 3, 3, 2, 1, 2, 3, 3] entertain 1.3 0.64031 [1, 2, 1, 1, 2, 1, 2, 0, 1, 2] entertained 1.7 0.64031 [1, 2, 2, 1, 2, 1, 1, 3, 2, 2] entertainer 1.6 1.2 [1, 4, 2, 2, 0, 0, 1, 3, 1, 2] entertainers 1.0 0.7746 [0, 1, 2, 2, 0, 0, 1, 1, 2, 1] entertaining 1.9 0.83066 [1, 2, 1, 1, 3, 2, 3, 2, 3, 1] entertainingly 1.9 0.53852 [2, 1, 2, 3, 2, 2, 1, 2, 2, 2] entertainment 1.8 0.9798 [2, 0, 4, 2, 2, 1, 2, 2, 1, 2] entertainments 2.3 1.18743 [3, 3, 3, 2, 1, 0, 3, 4, 1, 3] entertains 2.4 0.66332 [2, 2, 2, 2, 2, 3, 4, 3, 2, 2] enthral 0.4 1.42829 [2, 2, 0, 2, 0, -1, -2, 2, 0, -1] enthuse 1.6 0.66332 [1, 2, 1, 1, 3, 1, 2, 2, 2, 1] enthused 2.0 0.63246 [3, 3, 1, 2, 2, 2, 2, 1, 2, 2] enthuses 1.7 0.78102 [2, 3, 1, 2, 1, 3, 1, 1, 1, 2] enthusiasm 1.9 0.9434 [3, 3, 3, 2, 1, 0, 2, 1, 2, 2] enthusiasms 2.0 0.89443 [1, 3, 2, 2, 3, 2, 0, 2, 3, 2] enthusiast 1.5 0.67082 [1, 2, 2, 2, 0, 1, 1, 2, 2, 2] enthusiastic 2.2 0.9798 [1, 2, 3, 4, 2, 3, 2, 1, 1, 3] enthusiastically 2.6 0.66332 [3, 3, 3, 2, 3, 3, 3, 3, 2, 1] enthusiasts 1.4 0.91652 [1, 1, 0, 3, 3, 2, 1, 1, 1, 1] enthusing 1.9 0.7 [2, 1, 2, 1, 2, 3, 2, 1, 2, 3] entitled 1.1 0.83066 [2, 2, 1, 1, 2, 1, 1, -1, 1, 1] entrusted 0.8 1.46969 [3, 0, 2, 2, 1, 1, -1, 0, -2, 2] envied -1.1 0.83066 [-1, -2, -2, 1, -2, -1, -1, -1, -1, -1] envier -1.0 0.7746 [-1, -2, -2, -1, -1, 1, -1, -1, -1, -1] enviers -1.1 1.13578 [-3, -1, 0, -3, -1, -1, -1, -1, 1, -1] envies -0.8 0.9798 [-1, -2, -2, 1, -1, 1, -1, -1, -1, -1] envious -1.1 0.83066 [-2, -1, -1, -1, -2, -1, -1, 1, -2, -1] envy -1.1 0.83066 [-2, -1, -1, -2, -1, -1, -1, 1, -1, -2] envying -0.8 1.32665 [-1, -1, -1, -1, -3, 2, -2, -1, 1, -1] envyingly -1.3 1.55242 [-2, 3, -2, -2, -1, -3, -1, -1, -2, -2] erroneous -1.8 0.6 [-2, -3, -2, -2, -2, -2, -1, -1, -1, -2] error -1.7 0.64031 [-2, -1, -2, -1, -2, -1, -1, -2, -3, -2] errors -1.4 0.66332 [-2, -1, -2, 0, -2, -2, -1, -1, -1, -2] escape 0.7 1.00499 [2, 0, 0, 1, 0, 1, 0, 3, 0, 0] escapes 0.5 1.36015 [4, 1, 1, 0, -1, 0, -1, 0, 1, 0] escaping 0.2 1.46969 [-2, 2, -1, 0, 1, 0, 2, 2, -2, 0] esteemed 1.9 0.83066 [3, 2, 1, 2, 3, 1, 1, 2, 3, 1] ethical 2.3 0.78102 [3, 3, 3, 3, 2, 2, 1, 3, 2, 1] euforia 3.3 0.9 [4, 4, 3, 3, 3, 4, 4, 4, 1, 3] euforic 3.2 0.87178 [3, 4, 3, 3, 3, 4, 4, 4, 1, 3] euforica 3.2 0.87178 [3, 4, 3, 3, 3, 4, 4, 4, 1, 3] eviction -2.0 0.63246 [-2, -2, -3, -2, -3, -2, -1, -2, -1, -2] dimoni -3.4 0.91652 [-4, -4, -4, -3, -3, -4, -1, -4, -3, -4] evildoer -3.1 0.7 [-2, -3, -3, -3, -4, -4, -3, -2, -3, -4] evildoers -2.4 0.4899 [-3, -3, -2, -2, -2, -2, -2, -2, -3, -3] evildoing -3.1 0.7 [-4, -4, -3, -3, -3, -4, -2, -3, -2, -3] evildoings -2.5 1.0247 [-3, -1, -1, -3, -4, -2, -4, -2, -2, -3] eviler -2.1 1.13578 [-2, -1, -3, -2, -4, -3, -1, -2, 0, -3] evilest -2.5 1.0247 [-3, -4, -1, -3, -2, -3, -1, -4, -2, -2] eviller -2.9 0.83066 [-3, -3, -4, -2, -2, -3, -2, -4, -2, -4] evillest -3.3 0.78102 [-3, -4, -2, -3, -4, -2, -4, -4, -3, -4] evilly -3.4 0.8 [-2, -4, -4, -4, -3, -4, -4, -4, -3, -2] evilness -3.1 1.04403 [-3, -4, -4, -4, -4, -2, -3, -2, -1, -4] dimonis -2.7 0.78102 [-3, -2, -2, -4, -4, -2, -3, -2, -3, -2] exaggerate -0.6 0.66332 [-1, -1, -1, 0, -1, 0, 1, -1, -1, -1] exaggerated -0.4 1.2 [-1, -1, -1, -1, -1, 2, 1, 1, -2, -1] exaggerates -0.6 1.28062 [-1, -1, -1, -1, -1, 1, 0, 2, -3, -1] exaggerating -0.7 0.9 [-1, -2, 0, -1, 0, 0, -2, -1, 1, -1] exasperated -1.8 1.53623 [-4, -3, -3, -1, -1, -1, 1, -1, -4, -1] excel 2.0 1.0 [3, 0, 2, 3, 1, 1, 3, 3, 2, 2] excelled 2.2 0.87178 [1, 2, 2, 2, 3, 2, 4, 3, 2, 1] excellence 3.1 0.9434 [4, 3, 4, 3, 2, 3, 1, 4, 3, 4] excellences 2.5 0.92195 [4, 2, 2, 2, 4, 3, 2, 2, 3, 1] excellencies 2.4 0.4899 [3, 2, 3, 3, 2, 2, 2, 2, 3, 2] excellency 2.5 0.80623 [4, 2, 3, 3, 2, 3, 1, 3, 2, 2] excellent 2.7 0.64031 [2, 3, 3, 3, 3, 2, 3, 2, 2, 4] excellently 3.1 0.7 [4, 3, 3, 3, 2, 3, 3, 4, 4, 2] excelling 2.5 0.67082 [2, 2, 3, 3, 3, 2, 2, 4, 2, 2] excels 2.5 0.92195 [4, 2, 4, 2, 2, 1, 2, 3, 3, 2] excelsior 0.7 0.64031 [1, 0, 0, 2, 0, 1, 1, 1, 1, 0] excitabilities 1.5 1.0247 [2, 0, 1, 1, 3, 1, 2, 3, 2, 0] excitability 1.2 0.87178 [0, 1, 1, 0, 1, 2, 3, 1, 2, 1] excitable 1.5 0.92195 [2, 3, 1, 0, 1, 2, 2, 0, 2, 2] excitableness 1.0 1.09545 [0, 0, 2, 0, 2, 0, 2, 0, 1, 3] excitant 1.8 1.16619 [1, 0, 1, 3, 2, 0, 3, 3, 2, 3] excitants 1.2 0.9798 [1, 0, 1, 2, 2, 2, 1, -1, 2, 2] excitation 1.8 0.87178 [2, 0, 3, 1, 3, 2, 2, 2, 1, 2] excitations 1.8 1.16619 [3, 3, -1, 2, 2, 2, 1, 1, 3, 2] excitative 0.3 0.78102 [0, 1, 1, 0, 0, 0, 2, 0, -1, 0] excitatory 1.1 1.7 [-1, 2, 2, 1, 2, 2, 2, 3, -3, 1] excite 2.1 1.22066 [1, 2, 2, 1, 2, 0, 4, 4, 3, 2] excited 1.4 0.4899 [1, 1, 2, 1, 2, 1, 2, 1, 1, 2] excitedly 2.3 0.9 [3, 3, 2, 3, 1, 3, 1, 3, 1, 3] excitement 2.2 0.4 [2, 2, 2, 3, 3, 2, 2, 2, 2, 2] excitements 1.9 0.53852 [2, 1, 2, 3, 2, 2, 2, 2, 2, 1] exciter 1.9 0.9434 [3, 2, 3, 1, 0, 1, 2, 3, 2, 2] exciters 1.4 1.42829 [1, 2, 0, 1, 2, 4, 0, -1, 3, 2] excites 2.1 0.83066 [2, 3, 3, 2, 0, 2, 2, 3, 2, 2] exciting 2.2 0.87178 [3, 2, 1, 1, 1, 3, 3, 3, 2, 3] excitingly 1.9 0.9434 [3, 2, 3, 0, 1, 2, 1, 2, 2, 3] exciton 0.3 0.64031 [2, 0, 0, 0, 0, 0, 1, 0, 0, 0] excitonic 0.2 0.6 [0, 0, 0, 0, 2, 0, 0, 0, 0, 0] excitons 0.8 0.6 [1, 2, 0, 1, 1, 0, 0, 1, 1, 1] excitor 0.5 0.67082 [2, 0, 0, 0, 1, 1, 1, 0, 0, 0] excloure -0.9 1.13578 [-1, -2, -1, -3, -1, 1, -1, -1, 1, -1] exclos -1.4 1.62481 [-2, -1, -3, -3, -2, -3, -2, 1, -1, 2] exclosa -1.4 1.62481 [-2, -1, -3, -3, -2, -3, -2, 1, -1, 2] exclusio -1.2 1.249 [-2, -2, -3, -1, -2, -1, -1, -1, 2, -1] exclusiu 0.5 0.92195 [0, 0, 0, -1, 2, 0, 1, 2, 1, 0] excruciate -2.7 0.64031 [-2, -3, -2, -3, -3, -2, -4, -3, -2, -3] excruciated -1.3 1.9 [-4, -1, -4, 0, 2, -2, -1, -1, -3, 1] excruciates -1.0 2.19089 [-4, 1, -4, 0, 1, -3, -1, 1, -3, 2] excruciating -3.3 0.9 [-3, -4, -4, -4, -4, -4, -4, -2, -2, -2] excruciatingly -2.9 1.04403 [-2, -4, -3, -2, -4, -1, -2, -3, -4, -4] excruciation -3.4 0.66332 [-4, -3, -2, -4, -4, -3, -4, -3, -3, -4] excruciations -1.9 1.51327 [-3, -3, -2, -4, -1, -1, 1, -4, -1, -1] excuse 0.3 1.73494 [0, 0, 3, -1, 0, -1, -2, 0, 4, 0] exempt 0.4 0.91652 [1, 0, 0, 0, 2, -1, 0, 0, 2, 0] esgotat -1.2 0.87178 [0, -1, 0, -1, -1, -3, -2, -2, -1, -1] esgotada -1.2 0.87178 [0, -1, 0, -1, -1, -3, -2, -2, -1, -1] exhausted -1.5 1.28452 [-2, -1, 2, -2, -3, -2, -2, -1, -2, -2] exhauster -1.3 0.64031 [-1, -1, 0, -1, -2, -1, -1, -2, -2, -2] exhausters -1.3 0.45826 [-2, -1, -2, -1, -1, -2, -1, -1, -1, -1] exhaustibility -0.8 1.07703 [0, -2, -3, 0, 1, -1, -1, -1, 0, -1] exhaustible -1.0 0.63246 [-1, -1, 0, -1, -2, -2, -1, 0, -1, -1] exhausting -1.5 0.5 [-1, -2, -1, -1, -2, -1, -2, -2, -1, -2] exhaustion -1.5 0.92195 [-2, -1, 1, -2, -2, -2, -2, -1, -2, -2] exhaustions -1.1 0.9434 [-1, -3, -2, -1, -1, -1, -1, 1, -1, -1] exhaustive -0.5 0.67082 [-1, -1, 0, -1, -2, 0, 0, 0, 0, 0] exhaustively -0.7 0.78102 [-2, 0, -1, -1, -1, -2, 0, 0, 0, 0] exhaustiveness -1.1 1.3 [-2, -2, 0, -1, -1, 1, -4, -1, 0, -1] exhaustless 0.2 1.8868 [1, 1, 0, 2, 3, 0, -2, 2, -2, -3] exhaustlessness 0.9 1.75784 [2, 2, 1, 1, -4, 2, 1, 2, 0, 2] exhausts -1.1 0.53852 [-2, -1, 0, -1, -1, -2, -1, -1, -1, -1] exhilarated 3.0 0.63246 [3, 3, 3, 3, 2, 2, 4, 4, 3, 3] exhilarates 2.8 1.07703 [4, 3, 3, 3, 0, 2, 3, 4, 3, 3] exhilarating 1.7 1.61555 [3, 4, 3, 2, -1, 1, 1, 3, -1, 2] exonerate 1.8 0.74833 [2, 2, 2, 2, 3, 2, 1, 0, 2, 2] absolt 1.8 1.83303 [3, -2, 2, 3, 2, 4, 3, 1, -1, 3] disculpat 1.8 1.83303 [3, -2, 2, 3, 2, 4, 3, 1, -1, 3] disculpada 1.8 1.83303 [3, -2, 2, 3, 2, 4, 3, 1, -1, 3] exonerates 1.6 1.90788 [3, -2, 1, 2, 3, 4, 0, 3, -1, 3] exonerating 1.0 1.41421 [2, -2, 3, 0, 0, 2, 0, 2, 2, 1] expand 1.3 0.64031 [0, 2, 2, 1, 1, 1, 2, 1, 2, 1] expands 0.4 0.66332 [0, 1, 0, 0, 0, 0, 0, 0, 2, 1] expel -1.9 1.44568 [0, -4, -3, -1, -3, -1, 0, -2, -4, -1] expelled -1.0 1.94936 [-1, -2, 2, -2, -4, -3, -2, 1, 2, -1] expelling -1.6 1.49666 [-2, -2, -2, -2, -2, -3, -4, -1, 1, 1] expels -1.6 1.11355 [-4, -2, 0, -3, -1, -1, -1, -2, -1, -1] exploit -0.4 1.62481 [-2, -1, -1, 2, -2, -2, 2, -1, 2, -1] exploited -2.0 1.0 [-3, -3, -1, -1, -1, -4, -2, -2, -1, -2] exploiting -1.9 1.22066 [0, -3, -3, 0, -2, -3, -1, -1, -3, -3] exploits -1.4 0.8 [-2, -2, -2, -1, -1, 0, -2, 0, -2, -2] exploration 0.9 0.7 [2, 2, 0, 1, 1, 0, 1, 0, 1, 1] explorations 0.3 1.1 [1, 1, 0, 0, 1, 2, 1, -2, -1, 0] expose -0.6 0.8 [-1, -1, 0, 0, -2, 1, -1, 0, -1, -1] exposed -0.3 1.18743 [-2, -1, 0, 2, 0, 0, -1, 1, -2, 0] exposes -0.5 0.92195 [-1, -1, 0, 2, -1, 0, -1, -1, -1, -1] exposing -1.1 0.7 [-2, -2, -1, -1, 0, -2, -1, -1, 0, -1] extend 0.7 0.78102 [2, 0, 0, 0, 1, 2, 1, 1, 0, 0] extends 0.5 0.80623 [2, 0, 2, 0, 0, 0, 1, 0, 0, 0] exuberant 2.8 0.6 [2, 3, 2, 3, 2, 4, 3, 3, 3, 3] exultant 3.0 1.18322 [4, 4, 3, 0, 3, 4, 3, 3, 2, 4] exultantly 1.4 1.49666 [3, 2, 4, 1, 1, 2, -2, 1, 1, 1] fab 2.0 1.0 [2, 1, 1, 3, 1, 2, 2, 4, 3, 1] fabulos 2.4 0.8 [2, 2, 3, 4, 3, 3, 1, 2, 2, 2] fabulosa 2.4 0.8 [2, 2, 3, 4, 3, 3, 1, 2, 2, 2] fabulousness 2.8 1.07703 [4, 1, 4, 3, 1, 3, 3, 2, 4, 3] fad 0.9 0.83066 [2, 0, 1, 1, 1, 0, 0, 2, 2, 0] fag -2.1 0.83066 [-3, -1, -2, -4, -2, -2, -2, -1, -2, -2] faggot -3.4 0.8 [-2, -4, -4, -3, -2, -4, -4, -4, -3, -4] faggots -3.2 0.9798 [-2, -4, -4, -4, -3, -4, -4, -3, -1, -3] fail -2.5 0.67082 [-2, -3, -3, -3, -4, -2, -2, -2, -2, -2] errada -2.3 0.9 [-2, -3, -1, -2, -2, -1, -3, -3, -4, -2] failing -2.3 1.1 [-2, -3, -3, -3, -4, -1, -2, -2, 0, -3] failingly -1.4 0.8 [-1, -3, -2, -1, 0, -1, -2, -1, -2, -1] failings -2.2 1.07703 [-2, -2, -3, -4, -1, -2, -1, -1, -4, -2] faille 0.1 0.3 [0, 0, 0, 0, 0, 0, 1, 0, 0, 0] fails -1.8 0.74833 [-2, -3, -2, -3, -2, -2, -1, -1, -1, -1] failure -2.3 1.00499 [-3, -1, -3, -2, -1, -2, -3, -1, -4, -3] failures -2.0 0.63246 [-1, -2, -1, -2, -3, -2, -2, -3, -2, -2] fainthearted -0.3 1.34536 [3, -1, -1, -1, -2, -1, 0, 1, -1, 0] fair 1.3 1.00499 [0, 1, 1, 2, 4, 1, 1, 1, 1, 1] faith 1.8 0.6 [1, 3, 2, 2, 1, 2, 2, 2, 1, 2] faithed 1.3 1.00499 [3, 2, 1, 2, 1, 2, -1, 1, 1, 1] faithful 1.9 0.83066 [1, 3, 2, 2, 1, 1, 3, 3, 2, 1] faithfully 1.8 1.07703 [3, 1, 2, 2, 4, 1, 0, 1, 2, 2] faithfulness 1.9 0.53852 [1, 2, 2, 3, 2, 2, 2, 1, 2, 2] faithless -1.0 0.89443 [-1, -1, -1, -2, -2, -1, -1, 0, 1, -2] faithlessly -0.9 1.51327 [-1, -2, -1, -3, -2, -1, 3, 0, -1, -1] faithlessness -1.8 1.249 [-3, -2, 1, -2, -2, -1, -2, -1, -4, -2] faiths 1.8 0.9798 [2, 3, 1, 1, 3, 3, 0, 2, 2, 1] fake -2.1 0.9434 [-2, -2, -1, -1, -1, -3, -3, -4, -2, -2] fakes -1.8 1.07703 [-2, -3, -2, -2, -3, 1, -2, -2, -1, -2] faking -1.8 0.87178 [-3, -1, -2, -1, -2, -2, -3, -2, 0, -2] fallen -1.5 0.80623 [-1, -1, -2, -2, -1, -3, 0, -1, -2, -2] falling -0.6 1.8 [-2, -2, -1, 0, -1, 3, -3, 2, 0, -2] falsified -1.6 0.91652 [-4, -1, -1, -2, -1, -1, -2, -2, -1, -1] falsify -2.0 0.7746 [-2, -1, -3, -3, -1, -2, -2, -2, -1, -3] fame 1.9 1.13578 [0, 2, 1, 2, 2, 4, 1, 3, 3, 1] fan 1.3 0.78102 [2, 0, 1, 1, 2, 1, 1, 3, 1, 1] fantastic 2.6 0.91652 [1, 3, 3, 3, 2, 4, 4, 2, 2, 2] fantastical 2.0 1.18322 [-1, 3, 2, 2, 2, 2, 3, 1, 3, 3] fantasticalities 2.1 1.04403 [2, 4, 2, 2, 1, 1, 2, 4, 1, 2] fantasticality 1.7 1.26886 [4, 1, 0, 2, 2, 1, 4, 1, 1, 1] fantasticalness 1.3 1.9 [2, 3, -3, 0, 3, 2, 2, 3, -1, 2] fantasticate 1.5 1.96214 [1, 2, -3, 1, 4, 1, 3, 4, 0, 2] fantastico 0.4 1.49666 [0, 0, 2, 0, 2, -2, 1, -1, -1, 3] farce -1.7 0.45826 [-2, -2, -1, -2, -2, -1, -1, -2, -2, -2] fascinate 2.4 1.0198 [4, 2, 2, 3, 1, 2, 3, 4, 1, 2] fascinated 2.1 0.83066 [2, 2, 2, 3, 1, 2, 4, 2, 1, 2] fascinates 2.0 0.44721 [2, 3, 1, 2, 2, 2, 2, 2, 2, 2] fascination 2.2 0.74833 [2, 1, 3, 3, 2, 3, 2, 2, 1, 3] fascinating 2.5 0.92195 [3, 3, 3, 4, 2, 3, 2, 3, 1, 1] feixista -2.6 0.8 [-3, -3, -2, -2, -2, -3, -1, -3, -4, -3] nazi -2.6 0.8 [-3, -3, -2, -2, -2, -3, -1, -3, -4, -3] fatxa -2.6 0.8 [-3, -3, -2, -2, -2, -3, -1, -3, -4, -3] feixistes -0.8 1.6 [-2, -3, -1, 1, -1, 2, -3, 1, -1, -1] fatxosos -0.8 1.6 [-2, -3, -1, 1, -1, 2, -3, 1, -1, -1] fatxes -0.8 1.6 [-2, -3, -1, 1, -1, 2, -3, 1, -1, -1] nazis -0.8 1.6 [-2, -3, -1, 1, -1, 2, -3, 1, -1, -1] fatal -2.5 1.62788 [-2, -3, -3, -4, -3, -3, 2, -4, -2, -3] fatalisme -0.6 1.8 [0, 0, -3, -4, -1, 1, 0, 2, -2, 1] fatalismes -1.7 0.9 [-2, -4, -2, -2, -2, -1, -1, -1, -1, -1] fatalist -0.5 1.56525 [0, 0, -1, -4, -1, 2, 0, 1, -2, 0] fatalistic -1.0 1.34164 [-3, -1, -3, -1, 1, 0, 1, -2, -1, -1] fatalists -1.2 0.87178 [0, -2, -1, -2, -1, 0, -1, -1, -3, -1] fatalities -2.9 0.7 [-2, -3, -3, -4, -2, -2, -3, -4, -3, -3] fatalitat -3.5 0.67082 [-2, -4, -4, -4, -3, -4, -4, -4, -3, -3] fatalment -3.2 0.74833 [-3, -2, -4, -2, -3, -4, -4, -3, -3, -4] fatigue -1.0 0.7746 [-2, -1, -1, -1, 1, -1, -2, -1, -1, -1] fatigued -1.4 0.4899 [-2, -1, -1, -2, -1, -1, -2, -2, -1, -1] fatigues -1.3 1.00499 [-2, -1, -1, -2, -1, 1, -3, -2, -1, -1] fatiguing -1.2 0.6 [-1, -2, -2, -1, 0, -2, -1, -1, -1, -1] fatiguingly -1.5 0.80623 [-1, 0, -3, -2, -1, -1, -2, -1, -2, -2] falta -1.7 0.64031 [-1, -2, -2, -2, -1, -1, -2, -2, -1, -3] faulted -1.4 0.4899 [-2, -2, -1, -2, -1, -1, -1, -1, -2, -1] faultfinder -0.8 1.32665 [-3, -2, -2, -1, 1, 1, 1, -1, -1, -1] faultfinders -1.5 0.80623 [-2, -2, -1, -3, -2, -1, 0, -1, -1, -2] faultfinding -2.1 0.83066 [-3, -2, -1, -2, -1, -3, -1, -3, -2, -3] faltador -2.1 0.7 [-3, -3, -3, -1, -2, -2, -2, -1, -2, -2] faultiest -2.1 0.53852 [-3, -1, -2, -2, -2, -2, -2, -2, -3, -2] faultily -2.0 0.89443 [-2, -2, -2, -3, -2, -1, 0, -3, -2, -3] faultiness -1.5 0.92195 [-1, -1, -3, -1, 0, -2, -3, -1, -2, -1] faulting -1.4 0.4899 [-1, -2, -1, -1, -2, -1, -1, -2, -1, -2] faultless 2.0 1.41421 [3, 2, 0, 1, 3, 1, 4, 0, 2, 4] faultlessly 2.0 1.09545 [3, 3, 2, 2, 0, 3, 2, 3, 2, 0] faultlessness 1.1 2.02237 [3, 2, 4, 2, 1, -1, -2, 1, -2, 3] faults -2.1 0.3 [-2, -2, -2, -2, -2, -2, -3, -2, -2, -2] faulty -1.3 0.45826 [-1, -1, -1, -1, -2, -2, -2, -1, -1, -1] fav 2.0 0.63246 [2, 1, 2, 2, 2, 1, 3, 2, 3, 2] fave 1.9 1.51327 [1, 3, -2, 3, 2, 3, 1, 3, 2, 3] favor 1.7 0.64031 [2, 2, 2, 2, 2, 2, 0, 1, 2, 2] favorable 2.1 0.7 [2, 1, 2, 3, 1, 2, 2, 3, 3, 2] favorableness 2.2 0.87178 [1, 2, 1, 3, 2, 2, 2, 4, 2, 3] favorably 1.6 0.66332 [2, 1, 1, 1, 1, 2, 2, 2, 3, 1] favored 1.8 0.6 [2, 2, 1, 1, 3, 1, 2, 2, 2, 2] favorer 1.3 1.18743 [2, 2, 1, 1, -2, 1, 2, 2, 2, 2] favorers 1.4 0.4899 [2, 2, 1, 2, 1, 2, 1, 1, 1, 1] favoring 1.8 0.6 [2, 1, 1, 3, 2, 2, 1, 2, 2, 2] favorit 2.0 0.63246 [2, 1, 3, 1, 2, 2, 2, 3, 2, 2] favorita 2.0 0.63246 [2, 1, 3, 1, 2, 2, 2, 3, 2, 2] favorited 1.7 0.45826 [1, 2, 2, 1, 2, 2, 2, 1, 2, 2] favorites 1.8 0.6 [1, 2, 1, 3, 2, 2, 1, 2, 2, 2] favoritism 0.7 1.79165 [-1, 3, -1, -1, 2, -2, 2, 2, 3, 0] favoritisms 0.7 0.9 [0, 2, -1, 1, 0, 0, 1, 1, 2, 1] favors 1.0 0.7746 [2, 1, 1, 1, 2, 1, -1, 1, 1, 1] favor 1.9 0.53852 [2, 1, 2, 3, 2, 2, 2, 1, 2, 2] favoured 1.8 0.4 [1, 2, 2, 2, 1, 2, 2, 2, 2, 2] favourer 1.6 0.4899 [1, 2, 2, 1, 1, 2, 2, 2, 1, 2] favourers 1.6 0.66332 [2, 2, 1, 0, 2, 2, 1, 2, 2, 2] favouring 1.3 0.45826 [1, 2, 1, 1, 2, 1, 1, 1, 1, 2] favours 1.8 0.6 [3, 2, 1, 2, 1, 2, 2, 1, 2, 2] por -2.2 0.6 [-2, -3, -2, -3, -2, -1, -2, -3, -2, -2] feared -2.2 0.6 [-2, -3, -2, -1, -3, -2, -3, -2, -2, -2] fearful -2.2 0.87178 [-2, -2, -3, -1, -2, -3, -2, -2, -4, -1] fearfuller -2.2 0.87178 [-1, -4, -2, -2, -1, -2, -3, -2, -3, -2] fearfullest -2.5 1.0247 [-3, -3, -4, -4, -3, -2, -1, -2, -2, -1] fearfully -2.2 0.87178 [-2, -2, -2, -1, -1, -3, -4, -2, -3, -2] fearfulness -1.8 0.87178 [-1, -1, -1, -2, -2, -1, -4, -2, -2, -2] fearing -2.7 0.9 [-3, -3, -3, -2, -4, -2, -1, -3, -2, -4] fearless 1.9 0.83066 [3, 3, 3, 2, 2, 2, 1, 1, 1, 1] fearlessly 1.1 1.22066 [2, -2, 1, 1, 2, 1, 3, 1, 1, 1] fearlessness 1.1 1.13578 [3, 2, -1, 2, 0, 2, 1, 1, 1, 0] pors -1.8 0.6 [-2, -2, -3, -2, -2, -1, -1, -2, -1, -2] fearsome -1.7 0.64031 [-3, -1, -1, -2, -1, -2, -2, -2, -1, -2] fed up -1.8 1.249 [-2, -2, -3, -4, -2, -2, -1, -2, -1, 1] feeble -1.2 1.249 [-2, -2, -3, -1, -1, -2, -1, -1, 2, -1] sentiment 0.5 1.0247 [0, 0, 0, 3, 0, 2, 0, 0, 0, 0] sensacio 0.5 1.0247 [0, 0, 0, 3, 0, 2, 0, 0, 0, 0] felonies -2.5 0.5 [-3, -3, -3, -2, -2, -2, -2, -3, -2, -3] felony -2.5 1.36015 [-4, -3, -4, -2, -3, -3, -2, -3, -2, 1] ferocious -0.4 1.56205 [1, 1, -2, -3, -1, 2, 1, -2, -1, 0] ferociously -1.1 1.86815 [-3, -4, 2, -2, 0, -2, -1, -1, 2, -2] ferociousness -1.0 1.89737 [2, -4, -2, 0, -2, -3, -1, 0, 2, -2] ferocities -1.0 1.54919 [1, 0, -2, 0, 0, -3, 0, 0, -2, -4] ferocitat -0.7 1.67631 [-2, -1, -4, 0, 0, -3, 1, 1, 0, 1] fervent 1.1 1.44568 [3, 0, 0, 1, -2, 2, 2, 3, 1, 1] fervid 0.5 2.20227 [4, -2, 1, -2, 4, 0, -1, 2, 1, -2] festival 2.2 0.6 [2, 2, 3, 2, 3, 2, 2, 2, 3, 1] festivalgoer 1.3 1.1 [1, 3, 2, 3, 0, 0, 1, 2, 0, 1] festivalgoers 1.2 0.9798 [2, 2, 0, 0, 0, 2, 2, 0, 2, 2] festivals 1.5 1.11803 [2, 0, 2, 3, 0, 3, 2, 1, 2, 0] festiu 2.0 0.63246 [2, 3, 2, 3, 1, 2, 2, 2, 1, 2] festivament 2.2 0.6 [2, 2, 3, 1, 3, 2, 3, 2, 2, 2] festiveness 2.4 0.8 [1, 3, 2, 1, 3, 3, 3, 3, 2, 3] festivities 2.1 0.7 [1, 2, 1, 2, 3, 2, 3, 3, 2, 2] festivity 2.2 1.07703 [3, 3, 3, 0, 2, 1, 3, 3, 1, 3] feud -1.4 0.66332 [-3, -2, -1, -2, -1, -1, -1, -1, -1, -1] feudal -0.8 0.87178 [-1, -2, -2, 0, 0, 0, -2, -1, 0, 0] feudalisme -0.9 1.37477 [-2, -3, -2, -3, 0, 0, 1, 0, 0, 0] feudalisms -0.2 0.74833 [0, 0, 0, 0, 0, 0, -1, 0, -2, 1] feudalist -0.9 1.13578 [-2, -2, -2, -2, 0, 0, 1, 0, 0, -2] feudalistic -1.1 0.7 [0, -1, -1, 0, -2, -1, -2, -1, -2, -1] feudalities -0.4 1.0198 [-1, 0, -1, -2, -1, 0, -1, 0, 0, 2] feudality -0.5 1.28452 [1, -1, 0, -1, 1, 0, -3, -2, 1, -1] feudalization -0.3 1.18743 [-2, -2, 0, 0, 2, 0, -1, -1, 1, 0] feudalize -0.5 0.92195 [-1, 0, -1, 0, -2, 0, 1, 0, 0, -2] feudalized -0.8 1.07703 [-1, -1, -3, 0, 0, 0, 1, -1, -2, -1] feudalizes -0.1 0.53852 [0, 0, -1, 0, -1, 0, 0, 0, 1, 0] feudalizing -0.7 1.34536 [2, -2, -1, 0, 0, -2, -1, -2, 1, -2] feudally -0.6 0.66332 [0, 0, -1, -1, 0, -1, 0, -1, -2, 0] feudaries -0.3 0.9 [0, 0, 0, -2, -2, 0, 0, 0, 0, 1] feudary -0.8 0.74833 [0, 0, -1, -1, -2, 0, -1, 0, -2, -1] feudatories -0.5 0.92195 [-3, 0, -1, 0, 0, 0, 0, -1, 0, 0] feudatory -0.1 0.83066 [-2, 0, 0, 0, 1, 0, 1, -1, 0, 0] feuded -2.2 0.6 [-2, -2, -2, -1, -3, -3, -2, -3, -2, -2] feuding -1.6 0.66332 [-2, -1, -2, -2, -1, -1, -3, -1, -2, -1] feudist -1.1 0.83066 [-2, 0, -3, -1, -1, -1, 0, -1, -1, -1] feudists -0.7 0.9 [0, 0, -1, 0, 0, -2, -2, 0, -2, 0] feuds -1.4 1.0198 [-2, -2, -2, -1, -1, -1, -3, -2, 1, -1] fiasco -2.3 0.64031 [-2, -2, -3, -3, -2, -3, -1, -3, -2, -2] fidgety -1.4 0.66332 [-1, -2, -2, 0, -1, -1, -2, -1, -2, -2] fiery -1.4 0.91652 [0, -1, -1, -2, -2, 0, -3, -1, -2, -2] fiesta 2.1 0.7 [3, 2, 1, 2, 2, 1, 3, 3, 2, 2] fiestas 1.5 1.0247 [3, 0, 3, 1, 0, 2, 2, 1, 2, 1] fight -1.6 1.56205 [-1, -2, -3, -3, -1, 2, -4, -1, -2, -1] fighter 0.6 1.11355 [3, 0, 0, -1, 1, 0, 1, 0, 2, 0] fighters -0.2 1.46969 [-1, 2, -2, 0, 2, 0, -2, -2, 0, 1] fighting -1.5 1.11803 [-1, -2, -3, -2, -2, -2, 0, -3, 0, 0] fightings -1.9 0.53852 [-2, -3, -1, -2, -2, -2, -2, -1, -2, -2] fights -1.7 0.64031 [-2, -2, -1, -2, -2, -1, -3, -1, -1, -2] fine 0.8 0.6 [1, 0, 1, 2, 1, 1, 1, 1, 0, 0] fire -1.4 1.49666 [-2, 0, -4, 0, -2, -1, -1, 0, -4, 0] fired -2.6 0.91652 [-2, -3, -4, -3, -3, -1, -3, -3, -1, -3] firing -1.4 0.8 [0, -1, -1, -1, -1, -2, -2, -3, -2, -1] fit 1.5 1.0247 [2, 1, 2, 0, 4, 2, 1, 1, 1, 1] fitness 1.1 0.9434 [0, 2, 1, 0, 1, 3, 2, 1, 0, 1] flagship 0.4 0.91652 [0, 0, 0, 0, 0, 0, 0, 1, 3, 0] flatter 0.4 1.42829 [-2, -2, 1, 2, 1, -1, 1, 2, 1, 1] flattered 1.6 2.00998 [2, 3, 3, 1, 2, 3, 3, 1, 2, -4] flatterer -0.3 1.9 [-4, 2, -1, 1, 2, 2, -2, -1, -1, -1] flatterers 0.3 1.84662 [2, 1, -2, 1, 0, -4, 2, 1, 2, 0] flatteries 1.2 1.16619 [2, 2, 3, 1, -1, 0, 0, 1, 2, 2] flattering 1.3 2.19317 [3, 2, 2, 3, -4, 4, -1, 2, 1, 1] flatteringly 1.0 1.61245 [2, 2, 1, 2, 1, -3, -1, 2, 2, 2] flatters 0.6 2.10713 [1, 1, 2, 2, 3, -1, -2, 2, -4, 2] flattery 0.4 1.49666 [1, -1, -2, 1, 3, -2, 1, 1, 1, 1] flawless 2.3 2.14709 [4, 3, 4, 4, 1, 2, 4, 4, -2, -1] flawlessly 0.8 1.83303 [-2, 2, 3, 1, 0, -2, 2, 2, -1, 3] mosques -0.7 1.18743 [-3, 0, -2, 0, -1, -1, -1, 1, -1, 1] flexibilities 1.0 1.09545 [1, 3, 1, 0, 1, -1, 2, 0, 2, 1] flexibility 1.4 0.8 [2, 2, 0, 2, 1, 2, 1, 0, 2, 2] flexible 0.9 0.83066 [2, 1, 0, 0, 1, 2, 0, 1, 2, 0] flexibly 1.3 0.78102 [2, 1, 0, 0, 1, 2, 2, 1, 2, 2] flirtation 1.7 0.64031 [3, 1, 1, 2, 2, 1, 2, 1, 2, 2] flirtations -0.1 1.64012 [0, -4, 1, 0, 0, -2, 1, 1, 2, 0] flirtatious 0.5 2.5 [-4, 1, 2, 1, 2, -3, 3, 4, -2, 1] flirtatiously -0.1 1.86815 [2, -1, 1, 2, 1, 1, -3, -3, -2, 1] flirtatiousness 0.6 1.85472 [1, 0, 2, 1, 1, 2, 1, -4, -1, 3] flirted -0.2 1.98997 [1, 2, -1, 1, 1, 1, -3, -3, -3, 2] flirter -0.4 1.85472 [1, 2, -1, 0, 1, 1, -3, -3, -3, 1] flirters 0.6 2.10713 [1, 4, 0, 1, 2, 1, -4, 2, 1, -2] flirtier -0.1 1.37477 [-2, 1, 1, 1, 1, -2, 1, -1, -2, 1] flirtiest 0.4 1.74356 [3, 1, 2, 1, 1, -1, -3, -2, 1, 1] flirting 0.8 1.83303 [1, 2, 2, 2, 2, -1, 1, 2, -4, 1] flirts 0.7 1.18743 [2, -1, 2, 1, 1, -2, 1, 1, 1, 1] flirty 0.6 1.35647 [2, -2, 2, 1, 1, -2, 1, 1, 1, 1] flop -1.4 0.4899 [-1, -1, -2, -1, -2, -1, -2, -1, -2, -1] flops -1.4 0.8 [-2, -2, -2, 0, -2, -1, -2, -1, 0, -2] grip -1.6 0.8 [0, -2, -1, -2, -1, -2, -3, -1, -2, -2] flunk -1.3 0.78102 [-2, -1, -1, -3, -1, -1, 0, -2, -1, -1] flunked -2.1 0.9434 [-4, -1, -3, -2, -1, -1, -3, -2, -2, -2] flunker -1.9 1.04403 [-4, -1, -3, -2, -1, -1, -3, -2, -1, -1] flunkers -1.6 0.8 [-2, -1, -3, -2, 0, -1, -1, -2, -2, -2] flunkey -1.8 0.9798 [-4, -1, -3, -2, -1, -1, -2, -2, -1, -1] flunkeys -0.6 1.2 [-2, -1, -1, 2, -1, 0, -1, -2, 1, -1] flunkies -1.4 1.11355 [-2, -2, 0, -3, 1, -2, -1, -2, -1, -2] flunking -1.5 0.92195 [-2, -1, -1, -3, -1, -1, 0, -2, -3, -1] flunks -1.8 1.32665 [0, -2, -3, -3, -2, -3, -2, -1, 1, -3] flunky -1.8 1.4 [-2, -3, -3, -3, -2, -1, -2, -2, 2, -2] flustered -1.0 1.18322 [-1, -1, -1, -1, -3, -2, 2, -1, -1, -1] focused 1.6 0.91652 [2, 2, 1, 3, 0, 1, 1, 2, 3, 1] foe -1.9 1.22066 [-1, -3, -2, -2, -2, -2, -4, 1, -2, -2] foehns 0.2 0.4 [1, 0, 0, 0, 0, 0, 0, 0, 1, 0] foeman -1.8 0.6 [-2, -3, -1, -2, -2, -2, -2, -1, -1, -2] foemen -0.3 1.18743 [0, 0, -1, 0, 0, -2, -2, -1, 2, 1] foes -2.0 0.89443 [-2, -1, -2, -2, -4, -3, -2, -1, -1, -2] foetal -0.1 0.3 [0, -1, 0, 0, 0, 0, 0, 0, 0, 0] foetid -2.3 1.41774 [-1, -3, 0, -2, -3, 0, -3, -3, -4, -4] foetor -3.0 0.89443 [-3, -4, -2, -3, -3, -1, -4, -4, -3, -3] foetors -2.1 1.04403 [-2, -3, -1, -3, -2, -2, 0, -4, -2, -2] foetus 0.2 0.6 [0, 0, 0, 0, 0, 0, 0, 0, 2, 0] foetuses 0.2 0.6 [2, 0, 0, 0, 0, 0, 0, 0, 0, 0] fond 1.9 0.83066 [2, 3, 2, 3, 1, 1, 3, 2, 1, 1] fondly 1.9 0.7 [1, 2, 3, 2, 2, 3, 2, 1, 1, 2] fondness 2.5 0.67082 [3, 2, 2, 2, 2, 3, 4, 3, 2, 2] boig -1.9 0.53852 [-2, -2, -2, -2, -1, -2, -2, -3, -1, -2] boja -1.9 0.53852 [-2, -2, -2, -2, -1, -2, -2, -3, -1, -2] embojit -1.6 0.4899 [-2, -1, -1, -2, -2, -1, -2, -1, -2, -2] embojida -1.6 0.4899 [-2, -1, -1, -2, -2, -1, -2, -1, -2, -2] fooleries -1.8 1.07703 [-1, -2, 0, -2, -1, -2, -4, -2, -3, -1] foolery -1.8 0.87178 [-2, -2, -3, 0, -3, -1, -2, -2, -2, -1] foolfish -0.8 0.87178 [-1, 0, -1, -2, 0, 0, 0, -2, 0, -2] foolfishes -0.4 0.4899 [-1, -1, -1, 0, 0, 0, 0, 0, 0, -1] foolhardier -1.5 0.67082 [-2, -1, -2, -1, -2, -1, -2, -2, 0, -2] foolhardiest -1.3 0.64031 [0, -2, -1, -1, -1, -1, -2, -1, -2, -2] foolhardily -1.0 1.41421 [-1, -1, -2, -2, -2, -2, -1, -1, 3, -1] foolhardiness -1.6 0.66332 [-3, -1, -1, -1, -2, -1, -2, -2, -2, -1] foolhardy -1.4 0.4899 [-2, -2, -1, -1, -1, -2, -1, -1, -2, -1] fooling -1.7 0.64031 [-2, -2, -1, -2, -2, -2, -1, -3, -1, -1] foolish -1.1 0.83066 [-1, -1, -1, -2, -2, -1, -1, -2, 1, -1] foolisher -1.7 0.64031 [-2, -1, -2, -1, -2, -1, -2, -3, -2, -1] foolishest -1.4 1.28062 [-2, 1, -2, -3, -2, -2, -1, 1, -2, -2] foolishly -1.8 0.6 [-2, -1, -2, -2, -3, -1, -1, -2, -2, -2] foolishness -1.8 0.6 [-1, -1, -2, -2, -2, -1, -3, -2, -2, -2] foolishnesses -2.0 0.89443 [-1, -1, -1, -2, -3, -1, -3, -3, -2, -3] foolproof 1.6 0.91652 [2, 1, 3, 1, 1, 0, 1, 2, 2, 3] bojos -2.2 0.74833 [-2, -4, -2, -2, -1, -2, -2, -2, -2, -3] bojes -2.2 0.74833 [-2, -4, -2, -2, -1, -2, -2, -2, -2, -3] foolscaps -0.8 0.6 [0, -1, -1, -1, 0, -1, -2, 0, -1, -1] prohibir -1.3 0.78102 [-2, -2, -1, -1, -1, -1, 0, -1, -1, -3] forbiddance -1.4 1.35647 [-3, -1, -2, -3, -1, 2, -1, -2, -2, -1] forbiddances -1.0 2.0 [-2, 3, 1, -2, -4, -2, -3, -1, -1, 1] prohibit -1.8 0.74833 [-1, -2, -2, -2, -1, -1, -3, -3, -2, -1] forbidder -1.6 0.66332 [-1, -2, -2, -2, -2, 0, -2, -2, -2, -1] forbidders -1.5 0.80623 [-1, -2, -1, -3, -2, -2, 0, -2, -1, -1] forbidding -1.9 0.7 [-3, -1, -1, -2, -2, -1, -3, -2, -2, -2] forbiddingly -1.9 0.53852 [-2, -1, -2, -2, -2, -2, -3, -2, -1, -2] forbids -1.3 0.45826 [-1, -1, -2, -1, -1, -2, -1, -2, -1, -1] forçat -2.0 0.63246 [-1, -2, -3, -3, -1, -2, -2, -2, -2, -2] foreclosure -0.5 1.43178 [-1, -2, -3, 2, -1, 1, -1, 0, 1, -1] foreclosures -2.4 0.66332 [-3, -2, -3, -2, -3, -3, -1, -2, -2, -3] forgave 1.4 0.91652 [2, 2, 1, 2, 1, -1, 1, 2, 2, 2] oblidar -0.9 0.53852 [-1, -1, -1, -1, 0, -1, -1, 0, -2, -1] forgetful -1.1 1.3 [-3, -1, -2, 1, 0, -2, 1, -1, -2, -2] forgivable 1.7 0.64031 [2, 1, 2, 1, 2, 2, 1, 2, 3, 1] forgivably 1.6 0.66332 [1, 1, 2, 1, 2, 2, 1, 2, 3, 1] oblida 1.1 1.22066 [2, 1, 1, 3, 1, 1, 1, 2, -2, 1] forgiven 1.6 0.66332 [2, 1, 1, 3, 2, 2, 1, 2, 1, 1] forgiveness 1.1 1.22066 [2, 1, 1, 1, 3, 2, -2, 1, 1, 1] despistat 1.7 0.78102 [3, 1, 1, 3, 1, 2, 1, 2, 2, 1] despistada 1.7 0.78102 [3, 1, 1, 3, 1, 2, 1, 2, 2, 1] forgivers 1.2 0.6 [2, 1, 2, 1, 0, 1, 1, 2, 1, 1] forgives 1.7 0.78102 [2, 1, 3, 1, 1, 3, 2, 1, 1, 2] forgiving 1.9 0.7 [2, 3, 2, 1, 2, 3, 1, 1, 2, 2] forgivingly 1.4 0.4899 [2, 1, 2, 1, 1, 1, 2, 1, 2, 1] forgivingness 1.8 0.6 [3, 1, 2, 1, 2, 2, 2, 2, 2, 1] forgotten -0.9 0.53852 [-1, 0, -1, 0, -1, -1, -1, -1, -2, -1] fortunate 1.9 0.53852 [2, 2, 1, 1, 2, 2, 2, 3, 2, 2] fought -1.3 0.78102 [-2, -1, -2, -1, 0, -1, -1, -1, -1, -3] foughten -1.9 1.3 [-1, -3, 0, -2, -4, -3, -2, 0, -1, -3] frantic -1.9 0.7 [-3, -2, -2, -1, -2, -1, -2, -3, -1, -2] frantically -1.4 0.4899 [-2, -1, -2, -1, -1, -1, -1, -1, -2, -2] franticness -0.7 1.18743 [-1, -2, 2, -1, -1, -1, 1, -2, -1, -1] fraude -2.8 0.6 [-3, -3, -2, -3, -2, -3, -3, -2, -4, -3] fraudes -2.3 0.45826 [-2, -2, -2, -3, -3, -2, -3, -2, -2, -2] fraudster -2.5 0.92195 [-4, -1, -2, -2, -4, -2, -3, -2, -3, -2] fraudsters -2.4 0.91652 [-4, -3, -3, -3, -1, -2, -2, -2, -1, -3] fraudulence -2.3 0.78102 [-3, -2, -2, -3, -2, -1, -2, -4, -2, -2] fraudulent -2.2 0.6 [-2, -3, -2, -2, -2, -1, -3, -3, -2, -2] freak -1.9 0.9434 [-3, -2, -1, -2, -4, -1, -2, -1, -2, -1] monstre -1.9 0.9434 [-3, -2, -1, -2, -4, -1, -2, -1, -2, -1] freaked -1.2 1.32665 [-2, -2, 1, 0, -1, -2, -3, 1, -2, -2] freakier -1.3 1.1 [-3, -2, -2, 1, -2, -2, -1, 0, -1, -1] freakiest -1.6 1.0198 [-2, -3, -3, -3, -1, -1, -1, 0, -1, -1] freakiness -1.4 0.8 [-1, -1, -1, -2, -3, 0, -2, -1, -2, -1] freaking -1.8 1.16619 [0, -4, -3, -2, -3, -1, -1, -1, -2, -1] freakish -2.1 1.37477 [-1, -3, -2, -1, -2, -3, -4, -3, 1, -3] freakishly -0.8 1.249 [-2, -2, 1, -2, -1, 1, -1, 1, -1, -2] freakishness -1.4 1.68523 [-2, -4, -1, 0, -1, -2, 1, 1, -4, -2] freakout -1.8 1.6 [-3, 1, -3, -2, -3, -1, -4, 1, -2, -2] freakouts -1.5 0.92195 [-2, -2, -1, -1, -2, -2, -2, 1, -2, -2] freaks -0.4 1.35647 [2, 0, -2, -1, 0, 1, -2, 1, -1, -2] freaky -1.5 1.20416 [-2, -2, -2, -2, -1, -2, 2, -2, -2, -2] lliure 2.3 0.9 [2, 4, 3, 3, 2, 1, 2, 3, 1, 2] freebase -0.1 1.44568 [2, 0, -2, 1, -3, 0, -1, 0, 1, 1] freebased 0.8 1.16619 [2, 0, -1, 0, 3, 0, 1, 2, 1, 0] freebases 0.8 1.249 [2, 0, -1, 0, 2, 0, 0, 3, 2, 0] freebasing -0.4 1.56205 [-4, -2, 0, 0, 1, 2, 0, -1, 0, 0] freebee 1.3 0.78102 [1, 2, 1, 1, 1, 0, 3, 2, 1, 1] freebees 1.3 1.26886 [2, 2, -2, 2, 2, 2, 0, 2, 1, 2] freebie 1.8 0.9798 [2, 1, 3, 2, 2, 4, 1, 1, 1, 1] freebies 1.8 0.9798 [2, 3, 1, 1, 2, 4, 1, 1, 2, 1] freeboard 0.3 0.64031 [0, 0, 0, 0, 0, 1, 0, 0, 0, 2] freeboards 0.7 0.9 [0, 0, 0, 1, 0, 0, 2, 2, 2, 0] freeboot -0.7 1.67631 [1, -2, -3, -2, -1, -2, -1, 2, -1, 2] freebooter -1.7 1.00499 [-2, -2, -3, -3, -2, -2, 0, -1, 0, -2] freebooters -0.2 1.32665 [-1, -3, 1, 0, -2, 1, 0, 1, 0, 1] freebooting -0.8 1.249 [-2, -2, -1, 2, -1, -1, -1, 1, -2, -1] freeborn 1.2 0.74833 [1, 0, 3, 1, 1, 1, 1, 1, 2, 1] freed 1.7 1.34536 [-2, 2, 3, 2, 2, 2, 3, 1, 2, 2] freedman 1.1 0.9434 [1, 2, 0, 1, 2, 1, 3, 0, 0, 1] freedmen 0.7 0.78102 [1, 2, 1, 2, 0, 1, 0, 0, 0, 0] llibertat 3.2 0.9798 [4, 4, 1, 3, 2, 4, 4, 3, 3, 4] llibertats 1.2 1.07703 [2, 1, 1, 3, 2, 1, 2, 1, -1, 0] freedwoman 1.6 1.74356 [3, 2, 0, 4, 4, 3, 1, -1, 0, 0] freedwomen 1.3 0.78102 [2, 0, 2, 0, 2, 1, 1, 1, 2, 2] freeform 0.9 0.83066 [0, 0, 0, 2, 1, 2, 1, 1, 2, 0] freehand 0.5 0.80623 [0, 0, 0, 1, 0, 2, 0, 2, 0, 0] freehanded 1.4 0.91652 [3, 0, 0, 2, 1, 2, 2, 1, 2, 1] freehearted 1.5 0.67082 [2, 0, 1, 2, 2, 2, 2, 1, 1, 2] freehold 0.7 0.78102 [1, 1, 0, 0, 2, 0, 2, 0, 1, 0] freeholder 0.5 0.5 [1, 1, 0, 0, 0, 1, 1, 0, 1, 0] freeholders 0.1 0.83066 [0, 0, 1, 0, 0, 1, 0, -2, 0, 1] freeholds 1.0 0.63246 [1, 0, 2, 0, 1, 2, 1, 1, 1, 1] freeing 2.1 1.04403 [2, 1, 1, 1, 4, 2, 2, 4, 2, 2] freelance 1.2 1.66132 [3, 0, 0, 0, 0, 1, 4, 0, 4, 0] freelanced 0.7 1.00499 [3, 0, 0, 0, 0, 2, 1, 0, 1, 0] freelancer 1.1 1.04403 [2, 0, 3, 2, 1, 0, 0, 0, 2, 1] freelancers 0.4 0.66332 [0, 0, 0, 2, 0, 0, 0, 1, 1, 0] freelances 0.7 0.9 [1, 0, 0, 0, 0, 2, 2, 0, 2, 0] freelancing 0.4 0.66332 [2, 0, 0, 0, 1, 0, 0, 0, 1, 0] freeload -1.9 1.04403 [-2, -3, -1, -2, -1, 0, -1, -3, -3, -3] freeloaded -1.6 0.8 [-2, 0, -3, -1, -1, -2, -2, -2, -2, -1] freeloader -0.7 1.00499 [-2, 0, -1, -2, -1, 1, -1, 1, -1, -1] freeloaders -0.1 1.57797 [-2, -2, -1, 0, 0, 2, -2, 0, 2, 2] freeloading -1.3 2.0025 [1, -2, -4, -2, -3, -3, 1, 2, 0, -3] freeloads -1.3 0.9 [-1, -1, -2, -2, -2, 0, 0, -1, -1, -3] lliurement 1.9 0.53852 [2, 1, 2, 2, 2, 3, 2, 2, 1, 2] freeman 1.7 0.78102 [2, 2, 2, 1, 2, 0, 3, 1, 2, 2] freemartin -0.5 0.92195 [0, 0, 0, -1, 0, -1, 0, 0, -3, 0] freemasonries 0.7 0.78102 [0, 1, 0, 0, 0, 1, 1, 0, 2, 2] freemasonry 0.3 0.64031 [1, 0, 2, 0, 0, 0, 0, 0, 0, 0] freemen 1.5 0.67082 [1, 1, 0, 2, 2, 2, 2, 2, 1, 2] freeness 1.6 0.66332 [1, 2, 3, 2, 2, 1, 1, 1, 2, 1] freenesses 1.7 0.78102 [1, 2, 1, 2, 2, 2, 3, 2, 2, 0] freer 1.1 0.7 [2, 2, 0, 2, 1, 1, 1, 0, 1, 1] freers 1.0 0.89443 [0, 1, 1, 2, 3, 1, 0, 1, 0, 1] frees 1.2 0.6 [1, 2, 0, 1, 1, 1, 2, 1, 1, 2] freesia 0.4 0.91652 [0, 0, 3, 0, 1, 0, 0, 0, 0, 0] freesias 0.4 0.66332 [0, 0, 0, 1, 1, 2, 0, 0, 0, 0] freest 1.6 1.28062 [3, 4, 0, 3, 0, 1, 1, 2, 1, 1] freestanding 1.1 0.83066 [2, 1, 1, 2, 0, 0, 0, 2, 1, 2] freestyle 0.7 0.9 [2, 0, 1, 0, 2, 0, 0, 2, 0, 0] freestyler 0.4 0.91652 [0, 0, 0, 0, 1, 0, 0, 0, 0, 3] freestylers 0.8 0.87178 [2, 1, 0, 0, 0, 1, 0, 2, 2, 0] freestyles 0.3 0.64031 [0, 0, 0, 0, 1, 0, 0, 0, 0, 2] freethinker 1.0 0.63246 [1, 2, 1, 1, 2, 1, 0, 0, 1, 1] freethinkers 1.0 0.7746 [1, 0, 0, 1, 2, 2, 1, 2, 0, 1] freethinking 1.1 0.7 [1, 0, 1, 1, 2, 2, 0, 2, 1, 1] freeware 0.7 1.48661 [1, 0, 0, 2, 4, 0, 1, -2, 1, 0] freeway 0.2 0.6 [0, 0, 0, 0, 0, 0, 2, 0, 0, 0] freewheel 0.5 1.11803 [2, 0, 1, 2, 0, -2, 0, 0, 1, 1] freewheeled 0.3 0.78102 [1, 0, 0, 0, 0, 1, 2, -1, 0, 0] freewheeler 0.2 0.87178 [-2, 1, 0, 0, 0, 1, 1, 1, 0, 0] freewheelers -0.3 1.00499 [-2, 0, 0, 0, 2, -1, -1, 0, -1, 0] freewheeling 0.5 1.11803 [-1, 2, 0, -1, 1, 2, 2, 0, 0, 0] freewheelingly 0.8 0.87178 [1, 2, 0, 0, 1, 2, 1, -1, 1, 1] freewheels 0.6 0.91652 [0, 3, 1, 1, 1, 0, 0, 0, 0, 0] freewill 1.0 0.7746 [1, 1, 1, -1, 1, 1, 1, 2, 2, 1] freewriting 0.8 1.07703 [0, 2, 0, 0, 1, 0, 3, 0, 2, 0] freeze 0.2 0.9798 [-1, 0, 1, 1, -1, 0, 0, -1, 2, 1] freezers -0.1 0.3 [0, 0, 0, -1, 0, 0, 0, 0, 0, 0] congela -0.1 1.13578 [0, -2, -2, 1, 0, 0, 0, 0, 2, 0] freezing -0.4 1.28062 [-2, -1, -2, -2, 0, 0, 0, 1, 2, 0] freezingly -1.6 0.4899 [-1, -2, -2, -1, -2, -2, -2, -2, -1, -1] frenzy -1.3 1.48661 [-1, -1, -2, -2, 2, -4, -1, -2, 0, -2] fresc 1.3 0.45826 [2, 2, 1, 1, 1, 1, 2, 1, 1, 1] fresca 1.3 0.45826 [2, 2, 1, 1, 1, 1, 2, 1, 1, 1] amic 2.2 0.6 [2, 2, 3, 2, 3, 3, 1, 2, 2, 2] amiga 2.2 0.6 [2, 2, 3, 2, 3, 3, 1, 2, 2, 2] friended 1.7 0.78102 [2, 2, 1, 3, 1, 1, 2, 3, 1, 1] friending 1.8 1.07703 [1, 4, 2, 0, 1, 3, 2, 2, 1, 2] friendless -1.5 0.67082 [-1, -2, -2, -1, 0, -2, -1, -2, -2, -2] friendlessness -0.3 2.05183 [-2, -2, 2, 1, -4, -1, 2, 1, -2, 2] friendlier 2.0 0.63246 [3, 2, 2, 1, 2, 2, 2, 1, 3, 2] friendlies 2.2 0.74833 [3, 2, 2, 3, 2, 2, 1, 3, 1, 3] friendliest 2.6 0.91652 [3, 3, 1, 3, 2, 1, 3, 3, 4, 3] amistosament 1.8 0.74833 [1, 2, 2, 1, 3, 1, 1, 2, 3, 2] friendliness 2.0 0.7746 [3, 1, 3, 2, 2, 3, 2, 1, 2, 1] amigablement 2.2 0.6 [2, 1, 3, 3, 2, 2, 3, 2, 2, 2] amics 2.1 0.53852 [3, 3, 2, 2, 2, 1, 2, 2, 2, 2] amigues 2.1 0.53852 [3, 3, 2, 2, 2, 1, 2, 2, 2, 2] amistat 1.9 0.53852 [1, 2, 2, 1, 3, 2, 2, 2, 2, 2] amistats 1.6 0.91652 [2, 1, 1, 0, 3, 2, 2, 3, 1, 1] por -1.6 1.35647 [-2, -1, 0, -3, -2, -4, 1, -1, -2, -2] frighted -1.4 0.91652 [0, -1, -1, -1, -2, -1, -3, -1, -1, -3] fer por -1.4 0.8 [0, -1, -1, -1, -2, -1, -3, -2, -1, -2] fredat -1.4 0.8 [0, -1, -1, -1, -2, -1, -3, -2, -1, -2] feredat -1.4 0.8 [0, -1, -1, -1, -2, -1, -3, -2, -1, -2] espantat -1.9 0.7 [-2, -3, -1, -1, -2, -2, -3, -1, -2, -2] espantada -1.9 0.7 [-2, -3, -1, -1, -2, -2, -3, -1, -2, -2] frightening -2.2 0.9798 [-1, -1, -4, -3, -3, -3, -2, -2, -1, -2] frighteningly -2.1 0.7 [-2, -2, -2, -2, -4, -2, -1, -2, -2, -2] frightens -1.7 0.78102 [-2, -1, -2, -1, -1, -1, -2, -3, -3, -1] frightful -2.3 0.78102 [-2, -2, -2, -2, -3, -2, -3, -1, -4, -2] frightfully -1.7 0.78102 [-1, -1, -1, -2, -2, -1, -2, -3, -1, -3] frightfulness -1.9 0.7 [-1, -1, -2, -3, -3, -2, -1, -2, -2, -2] frighting -1.5 0.67082 [-1, -2, -2, -3, -1, -1, -1, -1, -2, -1] frights -1.1 0.83066 [-2, 0, -2, 0, -2, -1, 0, -1, -1, -2] juganer 1.0 1.48324 [1, -2, 1, 1, 1, 3, 3, 2, -1, 1] juganera 1.0 1.48324 [1, -2, 1, 1, 1, 3, 3, 2, -1, 1] frowning -1.4 1.42829 [-1, -1, -1, -3, -3, 1, -2, -3, 1, -2] frustrat -2.0 0.63246 [-2, -3, -2, -1, -3, -2, -2, -1, -2, -2] frustratada -2.4 0.66332 [-2, -1, -3, -3, -2, -2, -3, -2, -3, -3] frustrates -1.9 0.7 [-1, -1, -3, -2, -1, -2, -2, -2, -3, -2] frustrating -1.9 0.83066 [-2, -2, -1, -1, -1, -2, -2, -2, -4, -2] frustratingly -2.0 0.63246 [-1, -3, -2, -2, -2, -2, -2, -3, -2, -1] frustracio -2.1 0.7 [-3, -2, -3, -2, -1, -2, -3, -2, -1, -2] frustracions -2.0 0.7746 [-2, -1, -1, -3, -2, -2, -3, -3, -2, -1] fotre -2.5 1.20416 [0, -3, -4, -3, -2, -3, -4, -1, -2, -3] maleit -3.4 0.66332 [-2, -3, -4, -3, -4, -4, -3, -4, -3, -4] maleït -3.4 0.66332 [-2, -3, -4, -3, -4, -4, -3, -4, -3, -4] maleida -3.4 0.66332 [-2, -3, -4, -3, -4, -4, -3, -4, -3, -4] fucker -3.3 0.78102 [-3, -4, -4, -2, -3, -4, -4, -2, -4, -3] fuckers -2.9 0.9434 [-3, -3, -4, -3, -4, -4, -2, -1, -2, -3] fuckface -3.2 1.07703 [-4, -2, -4, -1, -4, -4, -2, -4, -3, -4] fuckhead -3.1 1.04403 [-1, -4, -2, -4, -3, -3, -2, -4, -4, -4] fucks -2.1 1.13578 [-3, -2, -1, -1, -1, -2, -4, -2, -4, -1] fucktard -3.1 0.9434 [-4, -4, -4, -3, -4, -2, -4, -2, -2, -2] fud -1.1 1.37477 [-1, -3, -1, -1, -3, -2, 2, 0, -1, -1] fuked -2.5 0.92195 [-2, -3, -3, -3, -3, -3, 0, -3, -3, -2] fuking -3.2 0.9798 [-4, -1, -3, -4, -3, -2, -4, -3, -4, -4] fulfill 1.9 1.04403 [1, 1, 2, 4, 1, 1, 2, 1, 3, 3] fulfilled 1.8 0.87178 [1, 2, 1, 0, 2, 2, 3, 2, 2, 3] acompleix 1.0 1.09545 [2, 1, 1, 1, 1, -2, 2, 2, 1, 1] fumeja -1.2 1.16619 [0, 0, 0, -2, -3, -2, -1, -3, -1, 0] fa olor -1.2 1.16619 [0, 0, 0, -2, -3, -2, -1, -3, -1, 0] fumed -1.8 0.87178 [-3, -2, -3, -2, -2, 0, -2, -1, -1, -2] fumeless 0.3 0.64031 [0, 0, 0, 1, 0, 0, 0, 2, 0, 0] fa olor a -0.7 1.18743 [0, 0, -3, 0, 0, -2, -1, -2, 1, 0] fumer 0.7 0.9 [2, 1, 0, 1, 0, 2, 0, -1, 1, 1] fumers -0.8 0.6 [0, -1, -1, -2, -1, 0, 0, -1, -1, -1] fumes -0.1 1.13578 [0, -2, 0, 0, -1, 1, -1, -1, 1, 2] fumet 0.4 1.0198 [2, 0, 0, -1, 0, 1, -1, 0, 2, 1] fumets -0.4 0.66332 [0, -1, 0, -1, 0, 0, -2, 0, 0, 0] fumette -0.6 1.11355 [-2, -2, 0, -1, -1, 2, 0, 0, -1, -1] fuming -2.7 0.64031 [-2, -3, -3, -2, -3, -4, -3, -2, -2, -3] divertit 2.3 0.45826 [2, 3, 2, 3, 2, 2, 3, 2, 2, 2] divertida 2.3 0.45826 [2, 3, 2, 3, 2, 2, 3, 2, 2, 2] diversio 2.3 0.45826 [2, 3, 2, 3, 2, 2, 3, 2, 2, 2] funeral -1.5 1.74642 [-2, -3, -2, -1, -3, -1, -4, 1, 2, -2] funerals -1.6 2.2891 [-3, -4, -1, -4, 2, -3, -3, 2, 1, -3] apestos -0.4 1.62481 [0, -1, 2, -1, 2, 0, -4, -1, 0, -1] funned 2.3 0.9 [2, 3, 3, 4, 1, 2, 2, 2, 3, 1] funnel 0.1 0.53852 [1, 0, 0, 0, 0, -1, 0, 0, 1, 0] funneled 0.1 0.3 [0, 0, 0, 0, 0, 1, 0, 0, 0, 0] funnelform 0.5 0.80623 [0, 0, 1, 0, 0, 0, 0, 2, 2, 0] funneling -0.1 0.3 [0, 0, 0, 0, -1, 0, 0, 0, 0, 0] funnelled -0.1 0.3 [0, 0, 0, 0, -1, 0, 0, 0, 0, 0] funnelling 0.1 0.3 [0, 0, 0, 0, 1, 0, 0, 0, 0, 0] funnels 0.4 0.66332 [0, 0, 0, 1, 0, 0, 0, 0, 2, 1] funner 2.2 0.74833 [2, 2, 3, 4, 1, 2, 2, 2, 2, 2] funnest 2.9 0.7 [4, 3, 4, 3, 2, 3, 2, 3, 2, 3] funnier 1.7 1.00499 [2, 2, -1, 2, 2, 2, 3, 1, 2, 2] funnies 1.3 1.00499 [2, 1, -1, 2, 1, 2, 3, 1, 1, 1] funniest 2.6 0.8 [3, 3, 3, 3, 2, 2, 1, 2, 4, 3] funnily 1.9 0.53852 [2, 3, 1, 2, 2, 2, 2, 1, 2, 2] funniness 1.8 0.9798 [3, 2, 3, 2, 2, 1, 3, 0, 1, 1] funninesses 1.6 0.91652 [1, 3, 0, 3, 1, 2, 1, 2, 2, 1] funning 1.8 0.9798 [2, 2, 1, 2, 1, 4, 0, 2, 2, 2] divertit 1.9 0.53852 [3, 2, 2, 1, 2, 2, 1, 2, 2, 2] funnyman 1.4 0.4899 [2, 2, 1, 2, 1, 1, 1, 1, 2, 1] funnymen 1.3 1.1 [2, 1, 1, 0, 0, 3, 3, 1, 2, 0] furios -2.7 1.41774 [-3, -3, -3, -4, -4, -4, 1, -2, -3, -2] furiosament -1.9 1.04403 [-2, -2, -4, -2, -1, -2, -1, -3, 0, -2] furia -2.7 0.78102 [-4, -3, -2, -2, -2, -3, -4, -2, -3, -2] futile -1.9 0.83066 [0, -3, -2, -2, -2, -2, -3, -1, -2, -2] mordassa -1.4 1.0198 [-2, -2, -1, -2, 0, -2, -3, 0, 0, -2] amordassat -1.3 1.55242 [-2, -2, -1, -2, 2, -3, -1, -3, 1, -2] amordassada -1.3 1.55242 [-2, -2, -1, -2, 2, -3, -1, -3, 1, -2] guany 2.4 0.4899 [2, 3, 2, 2, 3, 2, 3, 2, 3, 2] guanya 1.6 0.66332 [2, 1, 2, 1, 1, 3, 2, 1, 2, 1] gaining 1.8 0.4 [1, 2, 2, 2, 1, 2, 2, 2, 2, 2] gains 1.4 0.4899 [1, 2, 1, 2, 2, 2, 1, 1, 1, 1] gallant 1.7 1.1 [4, 0, 3, 1, 1, 2, 2, 2, 1, 1] gallantly 1.9 0.53852 [2, 2, 3, 2, 2, 2, 2, 1, 2, 1] gallantry 2.6 0.8 [3, 3, 1, 2, 2, 3, 4, 2, 3, 3] geek -0.8 0.9798 [0, 0, 0, -2, -3, -1, -1, 0, 0, -1] geekier 0.2 1.4 [0, 3, -1, -1, -1, 1, 2, 1, -1, -1] geekiest -0.1 0.9434 [1, -1, -1, -1, -1, 1, 1, 1, 0, -1] geeks -0.4 0.91652 [0, 0, -1, 0, 0, 0, 0, 0, -3, 0] geeky -0.6 0.91652 [0, 0, -1, 0, -1, 0, -1, 0, -3, 0] generositats 2.6 0.4899 [3, 3, 2, 3, 2, 3, 2, 3, 2, 3] generositat 2.3 0.64031 [3, 1, 2, 2, 3, 2, 3, 3, 2, 2] generos 2.3 0.78102 [3, 2, 4, 2, 2, 1, 2, 3, 2, 2] generosa 2.3 0.78102 [3, 2, 4, 2, 2, 1, 2, 3, 2, 2] generosament 1.8 0.74833 [3, 3, 2, 1, 2, 1, 1, 2, 1, 2] generousness 2.4 0.91652 [3, 2, 3, 1, 3, 4, 3, 2, 2, 1] genial 1.8 0.6 [3, 1, 2, 1, 2, 2, 1, 2, 2, 2] gentle 1.9 0.53852 [2, 2, 2, 1, 2, 3, 2, 2, 1, 2] gentler 1.4 0.4899 [2, 1, 1, 1, 1, 2, 2, 1, 2, 1] gentlest 1.8 0.4 [2, 1, 2, 2, 2, 1, 2, 2, 2, 2] gently 2.0 0.7746 [2, 2, 2, 1, 1, 3, 3, 2, 1, 3] fantasma -1.3 1.34536 [-2, 0, 0, 0, 0, -3, -2, -3, 0, -3] giddy -0.6 1.62481 [-2, -2, 3, -1, -1, -1, -1, -2, 2, -1] regal 1.9 0.53852 [2, 1, 2, 2, 2, 1, 2, 3, 2, 2] giggle 1.8 0.9798 [2, 2, 2, 2, 2, 3, 2, -1, 2, 2] giggled 1.5 1.20416 [1, 3, 1, 3, 3, 1, 1, -1, 2, 1] giggler 0.6 0.8 [1, 1, 1, 1, -1, 1, 1, 1, -1, 1] gigglers 1.4 0.4899 [1, 2, 2, 1, 2, 1, 1, 1, 1, 2] giggles 0.8 1.249 [1, 2, 2, 1, -1, 1, 1, 2, -2, 1] gigglier 1.0 1.09545 [2, 1, 1, 2, 2, 1, -1, 2, 1, -1] giggliest 1.7 1.26886 [4, 2, 1, 2, 1, 3, 2, 2, -1, 1] giggling 1.5 0.5 [2, 2, 1, 2, 2, 1, 1, 1, 1, 2] gigglingly 1.1 1.37477 [1, 2, 1, 1, -1, 2, 1, -1, 4, 1] giggly 1.0 1.41421 [1, 2, -2, 1, 2, 3, 1, -1, 2, 1] giver 1.4 0.66332 [1, 2, 2, 0, 1, 2, 1, 2, 1, 2] givers 1.7 1.34536 [2, -1, 3, 3, 3, 1, 1, 2, 0, 3] giving 1.4 1.0198 [1, 1, 3, 1, 1, 2, 3, 0, 2, 0] glad 2.0 0.63246 [3, 2, 1, 2, 2, 2, 1, 3, 2, 2] gladly 1.4 0.4899 [2, 2, 1, 2, 1, 1, 2, 1, 1, 1] glamor 2.1 0.9434 [1, 2, 2, 2, 1, 3, 2, 4, 3, 1] glamorise 1.3 1.1 [0, 1, 4, 1, 0, 2, 1, 2, 1, 1] glamorised 1.8 0.74833 [1, 2, 2, 2, 2, 2, 0, 2, 3, 2] glamorises 2.1 1.04403 [1, 3, 2, 4, 2, 2, 0, 2, 3, 2] glamorising 1.2 1.16619 [3, 2, 0, 3, 1, 2, 0, 1, 0, 0] glamorization 1.6 0.91652 [2, 2, 3, 0, 3, 1, 2, 1, 1, 1] glamorize 1.7 1.1 [1, 2, 1, 4, 2, 0, 3, 1, 2, 1] glamorized 2.1 1.04403 [3, 2, 1, 2, 4, 2, 2, 0, 3, 2] glamorizer 2.4 1.0198 [3, 2, 2, 3, 4, 3, 2, 0, 3, 2] glamorizers 1.6 1.11355 [4, 1, 1, 1, 1, 2, 0, 2, 3, 1] glamorizes 2.4 1.2 [3, 2, 2, 4, 4, 1, 2, 0, 3, 3] glamorizing 1.8 1.16619 [3, 0, 1, 2, 3, 2, 1, 0, 3, 3] glamorous 2.3 0.78102 [3, 2, 4, 2, 2, 2, 3, 2, 2, 1] glamorously 2.1 1.04403 [1, 3, 2, 1, 2, 1, 4, 1, 3, 3] glamors 1.4 0.66332 [1, 1, 2, 2, 2, 1, 2, 2, 0, 1] glamour 2.4 0.91652 [2, 4, 2, 1, 3, 2, 2, 2, 2, 4] glamourize 0.8 1.32665 [2, 1, 0, 1, 0, 4, 0, 0, -1, 1] glamourless -1.6 1.49666 [-4, -1, -1, -2, -2, -3, -2, -1, 2, -2] glamourous 2.0 0.7746 [1, 3, 3, 2, 1, 2, 2, 2, 3, 1] glamours 1.9 0.83066 [1, 3, 2, 2, 3, 2, 1, 1, 3, 1] glee 3.2 0.4 [3, 4, 3, 3, 4, 3, 3, 3, 3, 3] gleeful 2.9 0.53852 [3, 3, 3, 3, 3, 4, 2, 2, 3, 3] gloom -2.6 0.66332 [-4, -2, -3, -3, -2, -3, -2, -2, -2, -3] gloomed -1.9 0.7 [-1, -2, -3, -1, -2, -2, -1, -2, -3, -2] gloomful -2.1 0.9434 [-3, -1, -4, -2, -1, -1, -2, -3, -2, -2] gloomier -1.5 1.20416 [-3, -2, -2, -3, -1, -2, 0, 1, -1, -2] gloomiest -1.8 2.03961 [-2, -2, 2, -4, -2, -3, -4, -3, 2, -2] gloominess -1.8 0.6 [-2, -1, -2, -3, -2, -1, -2, -2, -2, -1] gloominesses -1.0 1.09545 [-1, -2, -2, -1, -1, -2, 2, -1, -1, -1] glooming -1.8 0.74833 [-1, -2, -2, -1, -2, -1, -3, -1, -3, -2] glooms -0.9 1.57797 [3, -2, -1, -2, -2, -2, 1, -2, -1, -1] gloomy -0.6 1.56205 [2, -1, -2, -2, -2, -1, 1, -2, 2, -1] gloried 2.4 1.0198 [2, 3, 3, 4, 4, 1, 1, 2, 2, 2] glories 2.1 1.3 [4, 1, 4, 1, 1, 4, 2, 2, 1, 1] glorification 2.0 0.89443 [3, 1, 3, 2, 3, 1, 1, 3, 2, 1] glorified 2.3 0.9 [1, 4, 2, 2, 4, 2, 2, 2, 2, 2] glorifier 2.3 1.00499 [1, 4, 1, 2, 4, 2, 3, 2, 2, 2] glorifiers 1.6 1.0198 [2, 1, 2, -1, 2, 2, 2, 1, 2, 3] glorifies 2.2 0.9798 [1, 4, 2, 2, 4, 2, 1, 2, 2, 2] glorify 2.7 0.78102 [3, 3, 4, 3, 1, 3, 2, 3, 2, 3] glorifying 2.4 1.28062 [3, 4, 2, 2, 4, 4, 0, 1, 2, 2] gloriole 1.5 1.36015 [2, 4, 1, 2, 0, -1, 1, 3, 2, 1] glorioles 1.2 0.87178 [0, 2, 0, 2, 0, 1, 2, 2, 1, 2] glorious 3.2 0.6 [4, 3, 3, 2, 3, 3, 3, 4, 3, 4] gloriously 2.9 0.83066 [3, 4, 3, 2, 4, 2, 2, 2, 4, 3] gloriousness 2.6 1.0198 [3, 2, 3, 4, 3, 2, 1, 4, 3, 1] glory 2.5 0.80623 [1, 3, 3, 1, 3, 3, 3, 2, 3, 3] glum -2.1 0.7 [-2, -1, -3, -3, -1, -2, -2, -3, -2, -2] gn8 0.6 0.66332 [1, 1, 0, 0, 0, 0, 2, 1, 0, 1] god 1.1 1.51327 [0, 0, 0, 1, 0, 3, 0, 3, 0, 4] goddam -2.5 1.28452 [0, -3, -3, -4, -3, -1, -4, -1, -3, -3] goddammed -2.4 0.91652 [-2, -3, -1, -1, -2, -2, -4, -3, -3, -3] goddamn -2.1 1.75784 [-3, -3, -2, -4, -4, -3, -3, -1, 1, 1] goddamned -1.8 2.03961 [-3, -3, -3, -4, -1, 2, -2, -3, 2, -3] goddamns -2.1 1.51327 [-3, -2, -4, 2, -2, -3, -3, -2, -2, -2] goddams -1.9 1.92094 [-3, -3, -2, -4, -4, -2, -3, -1, 2, 1] godsend 2.8 0.87178 [2, 3, 3, 2, 4, 3, 3, 1, 4, 3] good 1.9 0.9434 [2, 1, 1, 3, 2, 4, 2, 2, 1, 1] goodness 2.0 1.54919 [2, 2, 2, 3, 1, 2, -2, 4, 3, 3] gorgeous 3.0 0.63246 [3, 3, 2, 3, 3, 3, 4, 4, 3, 2] gorgeously 2.3 0.78102 [2, 2, 2, 3, 1, 2, 4, 3, 2, 2] gorgeousness 2.9 0.9434 [3, 4, 3, 1, 4, 4, 2, 2, 3, 3] gorgeousnesses 2.1 0.7 [3, 2, 1, 3, 2, 2, 1, 2, 3, 2] gossip -0.7 0.45826 [-1, -1, -1, 0, 0, -1, -1, 0, -1, -1] gossiped -1.1 0.53852 [-1, -1, -1, -1, -1, -1, 0, -1, -2, -2] gossiper -1.1 0.7 [-1, -1, -1, 0, -2, -1, -1, -2, 0, -2] gossipers -1.1 0.53852 [-1, 0, -1, -1, -1, -1, -1, -1, -2, -2] gossiping -1.6 0.4899 [-1, -2, -1, -2, -1, -2, -2, -1, -2, -2] gossipmonger -1.0 1.41421 [-1, -2, 1, -3, -2, 1, -1, -2, -2, 1] gossipmongers -1.4 0.66332 [-2, -1, -1, -1, -2, -2, -1, 0, -2, -2] gossipped -1.3 0.9 [-2, -2, -1, -2, -1, -1, -2, -1, 1, -2] gossipping -1.8 0.6 [-2, -1, -2, -2, -1, -2, -2, -1, -3, -2] gossipries -0.8 0.6 [-1, -1, -1, 0, -1, 0, -1, 0, -2, -1] gossipry -1.2 1.16619 [1, 0, -1, -2, -1, -1, -1, -3, -3, -1] gossips -1.3 0.64031 [-1, -2, -1, -1, -2, -1, 0, -1, -2, -2] gossipy -1.3 0.78102 [-1, -2, -2, -1, -2, -1, 0, 0, -2, -2] grace 1.8 0.4 [2, 1, 2, 2, 1, 2, 2, 2, 2, 2] graced 0.9 1.04403 [1, 1, 2, -2, 1, 1, 1, 2, 1, 1] graceful 2.0 0.63246 [2, 1, 2, 2, 2, 3, 3, 2, 2, 1] gracefuller 2.2 0.74833 [2, 3, 2, 2, 1, 2, 3, 1, 3, 3] gracefullest 2.8 0.74833 [3, 3, 3, 3, 1, 3, 3, 3, 4, 2] gracefully 2.4 0.66332 [3, 3, 2, 1, 3, 2, 2, 2, 3, 3] gracefulness 2.2 0.6 [3, 2, 1, 2, 2, 2, 3, 2, 2, 3] graces 1.6 0.4899 [2, 2, 2, 1, 1, 2, 1, 2, 1, 2] gracile 1.7 0.78102 [1, 3, 2, 1, 2, 3, 2, 1, 1, 1] graciles 0.6 0.8 [0, 0, 0, 0, 0, 0, 2, 1, 2, 1] gracilis 0.4 0.66332 [0, 0, 0, 0, 0, 1, 0, 1, 0, 2] gracility 1.2 0.87178 [1, 1, 0, 1, 1, 3, 2, 2, 0, 1] gracing 1.3 0.9 [1, 0, 3, 2, 1, 2, 0, 1, 2, 1] gracios 1.0 0.63246 [2, 2, 1, 1, 1, 1, 0, 1, 0, 1] gracious 2.6 0.8 [2, 2, 3, 3, 3, 3, 2, 4, 1, 3] graciously 2.3 0.9 [2, 4, 1, 3, 3, 2, 1, 2, 3, 2] graciousness 2.4 0.66332 [2, 2, 2, 2, 2, 3, 4, 3, 2, 2] grand 2.0 0.63246 [2, 2, 3, 1, 2, 2, 2, 2, 3, 1] grandee 1.1 0.83066 [0, 1, 1, 0, 1, 1, 2, 1, 3, 1] grandees 1.2 0.87178 [0, 2, 2, 1, 0, 1, 0, 2, 2, 2] grander 1.7 0.9 [3, 1, 1, 2, 2, 2, 0, 2, 3, 1] grandest 2.4 1.2 [3, 3, 1, 2, 2, 0, 4, 2, 4, 3] grandeur 2.4 1.11355 [3, 2, 3, 2, 4, 1, 1, 4, 1, 3] grandeurs 2.1 1.3 [2, 2, 1, 0, 0, 4, 3, 3, 3, 3] grant 1.5 0.80623 [2, 2, 1, 0, 3, 1, 1, 1, 2, 2] granted 1.0 1.09545 [3, 0, 0, 0, 0, 1, 2, 2, 2, 0] granting 1.3 0.45826 [2, 1, 1, 2, 1, 2, 1, 1, 1, 1] grants 0.9 0.7 [2, 1, 2, 1, 0, 1, 0, 0, 1, 1] grateful 2.0 0.63246 [2, 3, 1, 2, 2, 2, 3, 1, 2, 2] gratefuller 1.8 0.87178 [2, 3, 0, 3, 2, 1, 1, 2, 2, 2] gratefully 2.1 0.53852 [2, 3, 2, 2, 2, 2, 2, 3, 1, 2] gratefulness 2.2 0.6 [2, 3, 2, 1, 2, 2, 3, 2, 3, 2] graticule 0.1 0.3 [0, 0, 0, 1, 0, 0, 0, 0, 0, 0] graticules 0.2 0.6 [0, 0, 0, 0, 2, 0, 0, 0, 0, 0] gratification 1.6 0.8 [1, 2, 3, 2, 2, 1, 2, 0, 2, 1] gratifications 1.8 0.4 [2, 2, 1, 2, 2, 1, 2, 2, 2, 2] gratified 1.6 0.91652 [3, 1, 1, 1, 3, 1, 1, 1, 1, 3] gratifies 1.5 0.80623 [3, 1, 1, 1, 2, 1, 1, 1, 1, 3] gratify 1.3 1.00499 [2, -1, 1, 3, 1, 1, 1, 1, 2, 2] gratifying 2.3 0.45826 [2, 3, 2, 2, 2, 2, 3, 2, 2, 3] gratifyingly 2.0 0.63246 [2, 2, 2, 1, 3, 2, 1, 3, 2, 2] gratin 0.4 0.91652 [0, 1, 0, 0, 0, 0, 2, 0, -1, 2] grating -0.4 0.4899 [-1, -1, -1, 0, 0, -1, 0, 0, 0, 0] gratingly -0.2 1.6 [1, -3, -2, -2, 0, 2, 1, -1, 1, 1] gratings -0.8 0.9798 [0, -2, -1, -1, 0, 0, -3, 0, 0, -1] gratins 0.2 0.6 [0, 0, 0, 0, 0, 0, 0, 0, 2, 0] gratis 0.2 0.9798 [-2, 1, 1, 0, 0, 0, -1, 1, 1, 1] gratitude 2.3 0.64031 [2, 2, 3, 1, 2, 3, 2, 3, 3, 2] gratz 2.0 0.89443 [2, 3, 2, 1, 1, 1, 2, 2, 4, 2] grave -1.6 1.62481 [-2, -2, 0, -2, -3, 2, -3, -1, -1, -4] graved -0.9 1.13578 [0, 0, -1, 0, -1, -1, -1, -1, -4, 0] gravel -0.5 0.5 [0, -1, 0, -1, -1, -1, -1, 0, 0, 0] graveled -0.5 0.80623 [0, 0, 0, 0, -1, -2, 0, 0, -2, 0] graveless -1.3 1.34536 [-2, -2, 0, -1, 0, -2, -4, 1, -1, -2] graveling -0.4 1.28062 [-3, 0, -2, 0, 2, -1, 0, 0, 0, 0] gravelled -0.9 0.53852 [0, -1, -1, -2, 0, -1, -1, -1, -1, -1] gravelling -0.4 1.11355 [0, -1, -2, -2, 0, -1, 0, 0, 2, 0] gravelly -0.9 0.7 [0, -2, -1, -1, 0, -1, -1, 0, -1, -2] gravels -0.5 0.80623 [0, -1, 0, 0, 0, -2, 0, 0, 0, -2] gravely -1.5 1.0247 [0, -3, -1, 0, -3, -2, -1, -1, -2, -2] graven -0.9 1.22066 [0, 0, -1, 0, -2, -1, -1, 0, -4, 0] graveness -1.5 0.67082 [-1, -2, -2, -3, -2, -1, -1, -1, -1, -1] graver -1.1 1.22066 [0, -2, -1, 0, 0, -2, -1, 0, -4, -1] gravers -1.2 1.6 [-4, 0, -2, 0, -2, -2, -2, 0, 2, -2] graves -1.2 1.07703 [0, 0, -1, -1, -2, -1, -1, -1, -4, -1] graveside -0.8 0.6 [-1, -1, -1, 0, 0, 0, -1, -2, -1, -1] gravesides -1.6 1.2 [-2, -1, 0, -3, -1, 0, -1, -2, -2, -4] gravest -1.3 1.9 [-3, -1, -2, -2, 1, 1, -2, 2, -3, -4] gravestone -0.7 0.78102 [0, -1, 0, -1, -1, -2, 0, 0, -2, 0] gravestones -0.5 0.5 [-1, -1, 0, -1, -1, -1, 0, 0, 0, 0] graveyard -1.2 0.87178 [0, 0, -1, -2, -1, -1, -2, -1, -3, -1] graveyards -1.2 0.87178 [0, -1, -3, -1, -1, -2, 0, -1, -2, -1] gran 3.1 0.7 [2, 4, 4, 4, 3, 3, 3, 3, 2, 3] greater 1.5 0.67082 [2, 1, 2, 1, 2, 2, 2, 1, 0, 2] greatest 3.2 0.74833 [3, 4, 3, 3, 3, 4, 4, 2, 2, 4] greed -1.7 1.61555 [-2, -1, -2, -1, -2, -4, -1, 2, -4, -2] greedier -2.0 0.63246 [-2, -2, -2, -2, -2, -3, -2, -1, -1, -3] greediest -2.8 0.87178 [-3, -4, -3, -2, -2, -4, -4, -2, -2, -2] greedily -1.9 1.22066 [-2, -1, -3, -3, -3, -2, -1, -2, 1, -3] greediness -1.7 1.00499 [-2, -1, -2, -1, -2, -4, -1, 0, -2, -2] greeds -1.0 1.18322 [-1, -2, -2, -2, -2, -2, 1, 0, -1, 1] greedy -1.3 1.48661 [-2, -2, -2, -2, -3, -2, 2, -1, -2, 1] greenwash -1.8 1.4 [-1, 0, -2, -2, -3, -4, 0, 0, -3, -3] greenwashing -0.4 0.91652 [-1, 0, 0, 1, 1, -2, -1, -1, 0, -1] greet 1.3 0.64031 [1, 1, 1, 1, 0, 2, 2, 2, 2, 1] greeted 1.1 0.9434 [2, 0, 0, 1, 1, 1, 0, 2, 1, 3] greeting 1.6 0.4899 [2, 1, 2, 2, 1, 2, 2, 1, 1, 2] greetings 1.8 1.07703 [1, 2, 3, 3, 1, 1, 1, 4, 1, 1] greets 0.6 0.66332 [0, 0, 2, 0, 1, 1, 0, 1, 1, 0] grey 0.2 0.4 [0, 0, 1, 0, 0, 0, 1, 0, 0, 0] grief -2.2 0.6 [-2, -1, -3, -2, -3, -3, -2, -2, -2, -2] grievance -2.1 0.53852 [-2, -2, -3, -2, -2, -3, -2, -1, -2, -2] grievances -1.5 0.5 [-2, -2, -1, -1, -2, -1, -1, -2, -2, -1] grievant -0.8 1.249 [-2, 1, -1, -2, -1, 2, -2, -1, -1, -1] grievants -1.1 0.83066 [-1, -1, -1, -1, -1, -1, 0, -2, 0, -3] apenar -1.6 1.49666 [-2, -3, -1, -3, 1, -3, -1, -2, 1, -3] grieved -2.0 0.89443 [-3, -3, -3, -2, -2, -3, -1, -1, -1, -1] griever -1.9 0.83066 [-2, -2, -3, -2, -3, -3, -1, -1, -1, -1] grievers -0.3 1.55242 [-1, 2, -2, -1, 1, -2, 2, -2, 1, -1] grieves -2.1 0.9434 [-3, -3, -3, -2, -3, -3, -1, -1, -1, -1] grieving -2.3 1.1 [-2, -4, -2, -3, -3, 0, -3, -2, -1, -3] grievous -2.0 1.84391 [-3, -4, -2, -3, -1, 3, -2, -3, -2, -3] grievously -1.7 1.55242 [-3, -1, -4, -2, -2, 1, -3, 1, -2, -2] grievousness -2.7 0.78102 [-3, -3, -3, -2, -3, -4, -2, -1, -3, -3] descoratjador -2.7 0.64031 [-2, -4, -3, -3, -2, -2, -3, -3, -2, -3] grimace -1.0 2.14476 [-4, -3, -2, -2, 2, -1, -1, -3, 2, 2] grimaced -2.0 0.63246 [-2, -3, -2, -2, -2, -2, -1, -3, -1, -2] grimaces -1.8 0.74833 [-1, -2, -1, -2, -2, -1, -3, -3, -1, -2] grimacing -1.4 1.56205 [-3, -2, -3, -3, -1, -1, 1, 0, 1, -3] grimalkin -0.9 1.04403 [-1, -2, -1, 1, -2, -2, -1, -1, 1, -1] grimalkins -0.9 0.9434 [0, 0, 0, -2, -1, -1, -1, 0, -3, -1] bruticia -1.5 0.92195 [-1, -2, -1, -1, -1, -3, 0, -2, -1, -3] embrutat -1.2 0.74833 [-2, -2, 0, -2, -1, -1, -1, -2, -1, 0] grimes -1.0 0.7746 [-2, -2, 0, 0, -1, -1, -1, -2, -1, 0] grimier -1.6 1.0198 [-1, -2, -2, -2, -1, 0, -4, -1, -1, -2] grimiest -0.7 2.05183 [-2, -3, 1, -3, 2, -2, -2, -2, 2, 2] grimily -0.7 1.61555 [-2, -1, -1, -2, -2, 2, -2, 2, 1, -2] griminess -1.6 0.4899 [-1, -2, -2, -2, -1, -2, -2, -1, -1, -2] griming -0.7 1.55242 [-3, -1, -1, -2, 0, 2, -1, -2, -1, 2] grimly -1.3 1.55242 [-2, -1, 2, -2, -2, -1, -3, -3, 1, -2] grimmer -1.5 1.36015 [1, -2, -3, 1, -2, -1, -2, -2, -3, -2] grimmest -0.8 1.72047 [-2, -1, -3, 0, -2, -1, 0, 2, 2, -3] grimness -0.8 1.98997 [2, -2, -3, -2, -3, 2, -1, 1, 1, -3] grimy -1.8 0.87178 [-2, -2, -2, -1, -1, -3, 0, -2, -2, -3] grin 2.1 0.83066 [2, 4, 2, 2, 2, 1, 2, 3, 1, 2] grinned 1.1 0.9434 [1, 1, 2, 1, 3, 1, -1, 1, 1, 1] grinner 1.1 0.83066 [1, 1, 2, 2, 2, 1, -1, 1, 1, 1] grinners 1.6 0.8 [2, 2, 2, 3, 1, 0, 2, 2, 1, 1] grinning 1.5 1.0247 [3, 2, 2, 1, 1, -1, 1, 2, 2, 2] grins 0.9 1.92094 [1, 4, -3, 1, 2, 1, 2, -2, 2, 1] fastigós -2.1 1.51327 [-1, -3, -2, -3, -3, -3, -3, 2, -2, -3] grossed -0.4 1.11355 [-1, -2, -1, -2, 0, 0, 1, 1, 1, -1] grosser -0.3 1.41774 [1, -2, -1, -2, 0, -1, 1, 2, 1, -2] grosses -0.8 1.77764 [-2, -2, 3, -2, -3, -1, 1, -1, 1, -2] grossest -2.1 0.83066 [-2, -1, -2, -3, -3, -1, -3, -3, -1, -2] grossing -0.3 1.79165 [-1, -3, -1, 1, 0, -1, -3, 1, 1, 3] grossly -0.9 1.44568 [1, -2, 0, -3, -1, -2, 1, 1, -2, -2] grossness -1.8 0.6 [-2, -2, -1, -1, -1, -3, -2, -2, -2, -2] grossular -0.3 1.34536 [0, -2, 0, -1, -2, -1, 0, 0, 0, 3] grossularite -0.1 1.13578 [2, 0, 0, 0, 0, -3, 0, 0, 0, 0] grossularites -0.7 1.26886 [0, -4, -1, -2, 0, 0, 0, 0, 0, 0] grossulars -0.3 0.45826 [0, 0, 0, 0, -1, -1, 0, 0, 0, -1] grouch -2.2 0.87178 [-2, -3, -3, -3, -2, -1, -3, -1, -1, -3] grouched -0.8 0.9798 [-2, -1, -2, -2, 1, -1, 0, 0, 0, -1] grouches -0.9 1.13578 [-2, -1, -2, -1, -1, -1, -1, 2, 0, -2] grouchier -2.0 0.63246 [-2, -3, -3, -2, -2, -2, -2, -1, -2, -1] grouchiest -2.3 0.78102 [-3, -3, -2, -2, -1, -3, -1, -3, -3, -2] grouchily -1.4 1.56205 [-2, -1, -2, -3, -3, 2, -2, -2, 1, -2] grouchiness -2.0 0.7746 [-2, -2, -3, -2, -3, -2, -2, 0, -2, -2] grouching -1.7 1.1 [-1, -3, -2, 1, -2, -3, -2, -1, -2, -2] grouchy -1.9 0.7 [-1, -3, -2, -2, -1, -3, -1, -2, -2, -2] growing 0.7 0.64031 [0, 1, 1, 2, 1, 0, 0, 1, 1, 0] creixement 1.6 1.0198 [2, 0, 3, 0, 2, 3, 1, 1, 2, 2] guarantee 1.0 1.0 [2, 3, 1, 0, 2, 0, 1, 0, 0, 1] culpa -1.1 1.22066 [-1, -3, 2, -1, -1, -2, -1, -2, -1, -1] guiltier -2.0 0.63246 [-2, -1, -3, -1, -3, -2, -2, -2, -2, -2] guiltiest -1.7 1.79165 [-3, -2, -2, -4, -1, -2, 3, -1, -3, -2] guiltily -1.1 1.57797 [-3, -1, -1, -2, 0, -2, 3, -2, -1, -2] guiltiness -1.8 0.6 [-2, -2, -1, -2, -1, -1, -2, -2, -3, -2] guiltless 0.8 1.53623 [3, 2, 1, 2, -2, 1, 1, -2, 1, 1] guiltlessly 0.7 1.18743 [-1, 1, -2, 2, 1, 1, 1, 1, 2, 1] guiltlessness 0.6 1.42829 [1, 1, -1, -1, -1, 1, 2, 3, -1, 2] guilts -1.4 0.66332 [-1, -2, -1, -1, -3, -1, -1, -2, -1, -1] culpable -1.8 0.6 [-1, -2, -2, -3, -2, -2, -1, -2, -2, -1] gullibility -1.6 0.66332 [-1, -1, -2, -2, -1, -2, -1, -2, -1, -3] gullible -1.5 0.67082 [-1, -2, -2, -1, -1, -3, -2, -1, -1, -1] gun -1.4 1.49666 [0, -4, 0, -3, 0, -3, -2, 0, -2, 0] h8 -2.7 1.00499 [-4, -3, -4, -1, -1, -3, -3, -3, -2, -3] ha 1.4 0.8 [1, 0, 1, 1, 3, 2, 2, 1, 2, 1] hacked -1.7 1.00499 [-2, -1, -2, -4, 0, -2, -2, -1, -1, -2] haha 2.0 0.89443 [1, 1, 2, 3, 2, 1, 4, 2, 2, 2] hahaha 2.6 1.0198 [2, 4, 2, 4, 1, 2, 3, 4, 2, 2] hahas 1.8 0.9798 [1, 2, 2, 4, 3, 2, 1, 1, 1, 1] hail 0.3 0.9 [0, 0, 0, 2, 0, 0, 2, 0, -1, 0] hailed 0.9 0.83066 [1, 2, 1, 1, 0, 0, 0, 2, 2, 0] hallelujah 3.0 0.7746 [3, 4, 3, 1, 3, 3, 3, 3, 3, 4] handsome 2.2 0.74833 [2, 2, 2, 2, 2, 3, 4, 1, 2, 2] handsomely 1.9 0.7 [1, 3, 1, 1, 2, 2, 2, 2, 2, 3] handsomeness 2.4 1.28062 [2, 4, 1, 4, 0, 2, 4, 3, 2, 2] handsomer 2.0 0.63246 [2, 3, 2, 2, 2, 2, 1, 3, 1, 2] handsomest 2.6 0.91652 [3, 2, 1, 2, 3, 4, 4, 3, 2, 2] hapless -1.4 1.11355 [-3, -1, -1, -1, -2, -1, 1, -2, -3, -1] haplessness -1.4 1.0198 [-1, -2, 0, -1, -1, -1, -1, -2, -1, -4] happier 2.4 0.66332 [3, 1, 2, 3, 2, 2, 3, 3, 3, 2] happiest 3.2 0.74833 [4, 3, 2, 4, 4, 3, 3, 3, 2, 4] happily 2.6 0.91652 [4, 1, 2, 4, 2, 3, 2, 2, 3, 3] happiness 2.6 0.4899 [2, 3, 3, 3, 3, 2, 2, 3, 2, 3] happing 1.1 0.83066 [1, 1, 1, 0, 2, 2, 0, 2, 0, 2] feliç 2.7 0.9 [2, 2, 2, 4, 2, 4, 3, 4, 2, 2] harass -2.2 0.6 [-2, -3, -2, -2, -2, -3, -2, -3, -1, -2] harassed -2.5 0.80623 [-4, -2, -3, -3, -2, -2, -3, -2, -3, -1] harasser -2.4 0.8 [-3, -2, -2, -3, -2, -2, -4, -2, -3, -1] harassers -2.8 0.6 [-3, -3, -2, -2, -3, -3, -3, -4, -2, -3] harasses -2.5 0.80623 [-3, -3, -2, -3, -2, -2, -4, -2, -3, -1] harassing -2.5 1.62788 [-2, -4, -3, -4, -3, -3, 2, -2, -3, -3] harassment -2.5 0.67082 [-2, -3, -2, -2, -3, -2, -4, -3, -2, -2] harassments -2.6 0.4899 [-3, -3, -2, -3, -2, -3, -3, -2, -2, -3] hard -0.4 1.2 [0, -1, 0, -1, 0, 1, -2, -1, -2, 2] hardier -0.6 1.68523 [-3, -2, -2, 1, 1, 2, 1, 0, -2, -2] hardship -1.3 1.84662 [-2, 2, -4, -1, -2, -3, -1, -2, 2, -2] hardy 1.7 1.00499 [1, 2, 1, 0, 2, 2, 4, 1, 2, 2] harm -2.5 0.80623 [-2, -2, -2, -3, -2, -1, -3, -3, -3, -4] harmed -2.1 0.83066 [-1, -4, -2, -2, -2, -2, -1, -2, -3, -2] harmfully -2.6 0.91652 [-3, -4, -3, -1, -3, -3, -3, -3, -1, -2] harmfulness -2.6 0.8 [-3, -1, -3, -3, -3, -2, -4, -2, -2, -3] harming -2.6 0.66332 [-3, -3, -2, -2, -3, -3, -2, -2, -2, -4] harmless 1.0 0.7746 [2, 1, 1, 1, 1, 0, 0, 2, 0, 2] harmlessly 1.4 1.2 [4, 0, 1, 0, 1, 1, 1, 2, 3, 1] harmlessness 0.8 1.16619 [1, 2, 0, 1, 0, 1, 2, 1, 2, -2] harmonic 1.8 0.87178 [2, 1, 2, 3, 0, 1, 3, 2, 2, 2] harmonica 0.6 0.8 [0, 1, 0, 0, 0, 2, 1, 0, 2, 0] harmonically 2.1 1.13578 [3, 3, 4, 1, 0, 1, 2, 2, 2, 3] harmonicas 0.1 0.3 [0, 0, 0, 0, 0, 0, 1, 0, 0, 0] harmonicist 0.5 0.92195 [0, 0, 0, 0, 1, 0, 0, 0, 1, 3] harmonicists 0.9 1.3 [2, 1, 0, 0, 2, 0, 0, 0, 4, 0] harmonics 1.5 1.0247 [2, 2, 2, 0, 0, 2, 3, 2, 0, 2] harmonies 1.3 0.9 [2, 0, 2, 1, 2, 2, 0, 2, 0, 2] harmonious 2.0 1.09545 [3, 4, 2, 2, 2, 0, 2, 3, 1, 1] harmoniously 1.9 0.9434 [4, 2, 2, 1, 2, 1, 1, 3, 2, 1] harmoniousness 1.8 0.6 [1, 2, 2, 2, 2, 1, 2, 3, 2, 1] harmonise 1.8 0.74833 [1, 1, 2, 3, 2, 1, 1, 3, 2, 2] harmonised 1.3 0.9 [2, 3, 2, 0, 2, 1, 1, 1, 1, 0] harmonising 1.4 0.66332 [1, 2, 1, 1, 2, 1, 1, 1, 1, 3] harmonium 0.9 1.22066 [0, 3, 0, 2, 3, 0, 0, 0, 0, 1] harmoniums 0.8 0.9798 [0, 0, 0, 2, 0, 2, 0, 2, 2, 0] harmonization 1.9 0.83066 [3, 1, 2, 2, 2, 2, 3, 0, 2, 2] harmonizations 0.9 0.9434 [0, 0, 2, 0, 2, 2, 0, 2, 1, 0] harmonize 1.7 0.78102 [3, 2, 2, 1, 2, 2, 0, 1, 2, 2] harmonized 1.6 0.91652 [1, 2, 1, 1, 2, 2, 3, 3, 0, 1] harmonizer 1.6 0.8 [1, 2, 1, 1, 2, 2, 2, 3, 0, 2] harmonizers 1.6 1.11355 [2, 2, 2, 1, 2, 0, 4, 0, 2, 1] harmonizes 1.5 0.92195 [0, 2, 2, 2, 0, 1, 1, 2, 3, 2] harmonizing 1.4 0.66332 [0, 1, 1, 2, 2, 1, 2, 2, 1, 2] harmony 1.7 0.45826 [2, 2, 2, 2, 1, 2, 2, 2, 1, 1] harms -2.2 1.6 [2, -3, -2, -2, -3, -2, -4, -4, -2, -2] harried -1.4 0.4899 [-1, -1, -2, -1, -2, -2, -1, -1, -1, -2] harsh -1.9 0.7 [-1, -1, -2, -2, -1, -3, -3, -2, -2, -2] harsher -2.2 0.6 [-2, -3, -2, -3, -2, -2, -1, -3, -2, -2] harshest -2.9 0.83066 [-4, -2, -2, -2, -2, -3, -3, -4, -4, -3] odira -2.7 1.00499 [-4, -3, -4, -4, -2, -2, -2, -2, -1, -3] hated -3.2 0.6 [-3, -3, -4, -3, -2, -3, -3, -4, -4, -3] hateful -2.2 1.249 [-3, 1, -3, -3, -1, -2, -2, -3, -3, -3] hatefully -2.3 0.78102 [-1, -3, -3, -3, -1, -2, -2, -2, -3, -3] hatefulness -3.6 0.4899 [-4, -4, -3, -3, -3, -4, -4, -4, -4, -3] hater -1.8 0.6 [-2, -1, -2, -2, -2, -1, -1, -2, -2, -3] haters -2.2 0.6 [-2, -1, -3, -2, -3, -2, -3, -2, -2, -2] hates -1.9 0.7 [-2, -1, -2, -2, -3, -1, -1, -2, -2, -3] hating -2.3 1.1 [-4, -3, -4, -1, -2, -2, -1, -2, -1, -3] hatred -3.2 0.9798 [-1, -3, -2, -4, -3, -3, -4, -4, -4, -4] haunt -1.7 1.00499 [-1, -1, -3, -1, -2, -2, -1, -4, -1, -1] haunted -2.1 0.7 [-2, -2, -1, -3, -3, -2, -2, -3, -1, -2] haunting -1.1 0.83066 [-3, 0, -2, -1, 0, -1, -1, -1, -1, -1] haunts -1.0 1.41421 [0, -2, -2, -2, -2, -1, 2, -2, 1, -2] havoc -2.9 0.7 [-2, -4, -4, -3, -2, -3, -3, -3, -2, -3] saludable 1.7 0.9 [1, 3, 1, 1, 3, 3, 1, 2, 1, 1] heartbreak -2.7 0.78102 [-1, -3, -3, -3, -2, -4, -2, -3, -3, -3] heartbreaker -2.2 1.07703 [-2, -3, 0, -3, -2, -1, -4, -3, -2, -2] heartbreakers -2.1 0.9434 [-3, -2, -3, -2, -1, -1, -4, -1, -2, -2] heartbreaking -2.0 1.73205 [-3, -1, -3, -3, -4, 2, -3, -2, 0, -3] heartbreakingly -1.8 2.08806 [-3, 3, 1, -3, -3, -2, -3, -3, -4, -1] heartbreaks -1.8 1.77764 [-2, 1, -3, -2, -3, -2, -3, 2, -4, -2] heartbroken -3.3 0.45826 [-4, -3, -3, -4, -3, -3, -4, -3, -3, -3] heartfelt 2.5 0.5 [3, 3, 2, 3, 2, 2, 3, 2, 2, 3] heartless -2.2 0.74833 [-2, -2, -2, -4, -2, -1, -2, -3, -2, -2] heartlessly -2.8 0.6 [-3, -2, -3, -3, -2, -3, -4, -2, -3, -3] heartlessness -2.8 0.87178 [-3, -3, -2, -3, -4, -4, -1, -3, -2, -3] heartwarming 2.1 1.22066 [3, 2, 3, 3, 2, 2, 3, 3, -1, 1] cel 2.3 1.18743 [1, 1, 2, 4, 3, 3, 3, 4, 1, 1] heavenlier 3.0 0.63246 [3, 2, 3, 3, 4, 3, 3, 4, 2, 3] heavenliest 2.7 1.1 [3, 2, 3, 4, 2, 4, 3, 0, 3, 3] heavenliness 2.7 0.9 [3, 2, 1, 4, 3, 2, 3, 4, 3, 2] heavenlinesses 2.3 2.2383 [4, 4, 4, 3, -2, 3, 3, 4, -2, 2] heavenly 3.0 0.63246 [3, 3, 3, 3, 2, 3, 3, 4, 2, 4] heavens 1.7 1.18743 [4, 0, 1, 2, 0, 3, 2, 2, 2, 1] heavenward 1.4 1.35647 [0, 3, 0, 4, 1, 2, 2, 0, 2, 0] heavenwards 1.2 1.32665 [1, 4, 0, 0, 2, 1, 1, 0, 3, 0] heavyhearted -2.1 0.83066 [-2, -3, -3, -2, -3, -1, -1, -1, -2, -3] heh -0.6 1.28062 [0, 1, -1, 1, -1, -2, -1, -3, 1, -1] infern -3.6 0.66332 [-4, -4, -4, -4, -4, -2, -3, -4, -3, -4] hellish -3.2 0.74833 [-3, -3, -2, -2, -4, -3, -4, -4, -3, -4] ajuda 1.7 0.78102 [3, 2, 1, 2, 1, 2, 3, 1, 1, 1] socors 1.7 0.78102 [3, 2, 1, 2, 1, 2, 3, 1, 1, 1] ajudador 1.4 0.8 [1, 1, 0, 1, 1, 2, 1, 2, 3, 2] ajudadora 1.4 0.8 [1, 1, 0, 1, 1, 2, 1, 2, 3, 2] helpers 1.1 0.83066 [1, 1, 0, 2, 1, 1, 1, 1, 3, 0] helpful 1.8 0.87178 [2, 1, 3, 1, 1, 3, 1, 2, 3, 1] helpfully 2.3 0.9 [1, 2, 2, 3, 2, 3, 3, 2, 4, 1] helpfulness 1.9 1.13578 [1, 4, 1, 2, 2, 1, 1, 2, 4, 1] ajudant 1.2 0.6 [2, 1, 1, 2, 0, 1, 1, 1, 2, 1] helpless -2.0 0.63246 [-2, -3, -2, -2, -2, -3, -1, -2, -1, -2] helplessly -1.4 0.4899 [-1, -1, -2, -2, -1, -1, -1, -2, -2, -1] helplessness -2.1 0.9434 [-2, -4, -1, -2, -1, -3, -3, -2, -1, -2] helplessnesses -1.7 0.64031 [-2, -1, -2, -1, -2, -1, -3, -2, -1, -2] helps 1.6 0.4899 [1, 1, 1, 2, 2, 2, 1, 2, 2, 2] heroi 2.6 0.8 [2, 3, 2, 2, 4, 4, 2, 3, 2, 2] heroina 2.6 0.8 [2, 3, 2, 2, 4, 4, 2, 3, 2, 2] heroes 2.3 0.9 [3, 4, 3, 1, 3, 2, 1, 2, 2, 2] heroic 2.6 0.8 [3, 3, 1, 4, 2, 3, 2, 3, 2, 3] heroical 2.9 1.04403 [4, 4, 2, 4, 2, 3, 1, 4, 2, 3] heroically 2.4 0.8 [2, 2, 2, 3, 3, 3, 4, 1, 2, 2] heroicomic 1.0 1.0 [1, 0, 1, 0, 2, 0, 3, 1, 2, 0] heroicomical 1.1 0.83066 [2, 0, 0, 2, 1, 2, 1, 2, 1, 0] heroics 2.4 0.8 [2, 1, 2, 2, 2, 3, 3, 3, 4, 2] heroin -2.2 1.83303 [0, -2, -4, 2, -4, -2, -2, -3, -3, -4] heroine 2.7 1.1 [0, 2, 4, 4, 3, 3, 3, 3, 2, 3] heroines 1.8 1.32665 [2, 1, 1, 4, 3, 1, 0, 3, 3, 0] heroinism -2.0 2.0 [-3, -4, 2, -2, -4, -3, -2, -1, 1, -4] heroism 2.8 0.6 [3, 3, 4, 3, 2, 2, 3, 3, 2, 3] heroisms 2.2 0.87178 [3, 1, 2, 4, 3, 2, 2, 2, 1, 2] heroize 2.1 0.7 [3, 2, 3, 1, 2, 2, 2, 3, 1, 2] heroized 2.0 1.18322 [1, 0, 3, 3, 2, 0, 3, 3, 2, 3] heroizes 2.2 0.9798 [1, 3, 2, 3, 4, 3, 2, 1, 2, 1] heroizing 1.9 1.64012 [2, 3, -2, 2, 4, 3, 2, 2, 3, 0] heron 0.1 0.3 [0, 0, 0, 0, 0, 1, 0, 0, 0, 0] heronries 0.7 1.1 [2, 0, 0, 0, 2, 0, 3, 0, 0, 0] heronry 0.1 0.9434 [0, 0, 0, 0, 0, 2, 0, 1, -2, 0] herons 0.5 1.0247 [0, 0, 0, 3, 0, 2, 0, 0, 0, 0] heros 1.3 1.18743 [3, 0, 0, 2, 0, 2, 2, 3, 1, 0] hesitance -0.9 0.3 [-1, -1, 0, -1, -1, -1, -1, -1, -1, -1] hesitancies -1.0 0.63246 [-1, -1, -1, -2, -1, -1, -2, 0, 0, -1] hesitancy -0.9 0.53852 [0, -1, 0, -2, -1, -1, -1, -1, -1, -1] hesitant -1.0 0.7746 [0, -1, 0, -1, -2, 0, -1, -2, -1, -2] hesitantly -1.2 0.4 [-1, -1, -2, -1, -1, -1, -1, -2, -1, -1] hesitate -1.1 0.53852 [-2, -1, -1, -1, -2, -1, -1, 0, -1, -1] hesitated -1.3 0.9 [-1, -2, -1, -2, -2, -2, -1, 1, -1, -2] hesitater -1.4 0.66332 [-1, -1, -1, -1, -1, -2, -1, -3, -2, -1] hesitaters -1.4 0.4899 [-1, -2, -1, -1, -1, -1, -2, -2, -2, -1] hesitates -1.4 0.4899 [-1, -1, -1, -2, -1, -2, -1, -2, -2, -1] hesitating -1.4 0.66332 [-1, -1, -2, -1, -1, -3, -2, -1, -1, -1] hesitatingly -1.5 0.80623 [-1, -1, -1, -1, -3, -2, -3, -1, -1, -1] hesitation -1.1 0.53852 [-2, 0, -1, -1, -1, -1, -1, -2, -1, -1] hesitations -1.1 0.53852 [-1, -1, -1, 0, -2, -1, -1, -2, -1, -1] hid -0.4 0.4899 [0, -1, 0, 0, -1, -1, -1, 0, 0, 0] amagar -0.7 0.64031 [0, -1, -1, -1, -1, 0, 0, -2, -1, 0] amaga -0.7 0.9 [-1, -2, -1, 0, -1, 0, 0, -2, 1, -1] amagant -1.2 0.4 [-1, -1, -2, -1, -1, -1, -1, -1, -2, -1] amagandes -1.2 0.4 [-1, -1, -2, -1, -1, -1, -1, -1, -2, -1] highlight 1.4 0.91652 [3, 0, 1, 1, 2, 1, 0, 2, 2, 2] hilarious 1.7 1.41774 [2, 2, 2, 3, 3, 1, -2, 2, 3, 1] hindrance -1.7 0.78102 [-2, -3, -2, -1, -1, -1, -3, -1, -2, -1] hoax -1.1 1.04403 [-3, -1, -2, -1, 1, -2, -1, -1, -1, 0] vacances 1.7 1.18743 [1, 3, 2, 2, 0, 0, 1, 2, 4, 2] holidays 1.6 1.0198 [2, 0, 1, 2, 3, 0, 1, 2, 3, 2] homesick -0.7 1.67631 [-2, -1, -1, -2, -1, -2, 2, -1, 3, -2] homesickness -1.8 1.249 [-3, -2, -1, -1, -3, -2, -1, 1, -3, -3] homesicknesses -1.8 0.6 [-1, -2, -2, -2, -1, -2, -1, -2, -3, -2] honest 2.3 0.9 [3, 2, 1, 2, 3, 1, 2, 3, 2, 4] honester 1.9 0.7 [2, 3, 2, 2, 1, 3, 1, 1, 2, 2] honestest 3.0 0.7746 [1, 3, 3, 3, 3, 3, 4, 4, 3, 3] honesties 1.8 1.07703 [4, 3, 1, 1, 1, 1, 3, 2, 1, 1] honestly 2.0 0.63246 [2, 3, 2, 2, 1, 2, 2, 1, 3, 2] honesty 2.2 0.6 [2, 3, 2, 2, 1, 2, 3, 2, 3, 2] honor 2.2 1.16619 [3, 2, 1, 2, 0, 4, 3, 1, 3, 3] honorability 2.2 0.4 [3, 3, 2, 2, 2, 2, 2, 2, 2, 2] honorable 2.5 0.67082 [2, 2, 3, 2, 4, 3, 2, 2, 2, 3] honorableness 2.2 0.87178 [2, 4, 1, 3, 3, 2, 1, 2, 2, 2] honorably 2.4 0.66332 [2, 2, 3, 2, 3, 3, 3, 1, 2, 3] honoraria 0.6 0.8 [1, 0, 1, 0, 0, 0, 2, 0, 2, 0] honoraries 1.5 1.5 [2, 2, 1, 3, 3, 1, -2, 2, 3, 0] honorarily 1.9 0.7 [2, 2, 3, 1, 2, 1, 2, 1, 3, 2] honorarium 0.7 1.48661 [3, 2, -1, 2, 1, -2, 1, 1, -1, 1] honorariums 1.0 1.0 [0, 0, 0, 0, 1, 2, 1, 3, 2, 1] honorary 1.4 0.91652 [2, 2, 2, 3, 1, 1, 0, 1, 2, 0] honored 2.8 0.87178 [3, 4, 4, 3, 1, 2, 2, 3, 3, 3] honoree 2.1 0.7 [3, 2, 3, 3, 1, 2, 1, 2, 2, 2] honorees 2.3 0.78102 [1, 3, 3, 4, 2, 2, 2, 2, 2, 2] honorer 1.7 0.78102 [2, 1, 3, 3, 1, 2, 1, 2, 1, 1] honorers 1.3 0.45826 [1, 1, 2, 2, 1, 1, 2, 1, 1, 1] honorific 1.4 1.2 [2, 2, 2, 2, 2, 1, 2, 1, 2, -2] honorifically 2.2 0.74833 [3, 4, 1, 2, 2, 2, 2, 2, 2, 2] honorifics 1.7 0.78102 [1, 2, 0, 1, 2, 2, 2, 3, 2, 2] honoring 2.3 0.64031 [3, 3, 1, 2, 2, 3, 3, 2, 2, 2] honors 2.3 0.64031 [3, 2, 2, 2, 1, 3, 3, 2, 3, 2] honour 2.7 0.78102 [2, 3, 2, 2, 2, 3, 4, 4, 3, 2] honourable 2.1 0.53852 [2, 3, 2, 2, 2, 1, 3, 2, 2, 2] honoured 2.2 1.249 [3, 3, 4, 3, -1, 2, 2, 2, 2, 2] honourer 1.8 0.87178 [2, 3, 2, 1, 2, 3, 1, 0, 2, 2] honourers 1.6 1.0198 [0, 2, 2, 1, 2, 2, 1, 3, 0, 3] honouring 2.1 0.3 [2, 2, 2, 3, 2, 2, 2, 2, 2, 2] honours 2.2 0.87178 [4, 3, 2, 2, 3, 2, 2, 1, 2, 1] hooligan -1.5 0.5 [-1, -2, -1, -2, -2, -2, -1, -1, -2, -1] hooliganism -2.1 0.83066 [-3, -2, -3, -3, -2, -2, -2, -2, 0, -2] hooligans -1.1 1.22066 [-2, -1, -1, 2, -1, -1, -1, -3, -2, -1] hooray 2.3 0.9 [3, 2, 3, 2, 1, 3, 1, 2, 2, 4] hope 1.9 0.53852 [3, 2, 2, 1, 2, 2, 1, 2, 2, 2] hoped 1.6 0.4899 [1, 2, 1, 1, 2, 2, 1, 2, 2, 2] hopeful 2.3 0.78102 [2, 1, 1, 3, 3, 3, 2, 3, 2, 3] hopefully 1.7 0.78102 [1, 3, 1, 3, 1, 2, 1, 1, 2, 2] hopefulness 1.6 1.35647 [2, 1, -2, 2, 3, 2, 1, 3, 2, 2] hopeless -2.0 1.78885 [-3, -3, -3, -3, 3, -1, -3, -3, -2, -2] hopelessly -2.2 0.74833 [-3, -4, -2, -2, -1, -2, -2, -2, -2, -2] hopelessness -3.1 0.7 [-3, -4, -4, -3, -3, -3, -4, -3, -2, -2] hopes 1.8 0.6 [1, 3, 1, 2, 2, 2, 1, 2, 2, 2] hoping 1.8 0.4 [2, 2, 2, 1, 2, 2, 2, 2, 2, 1] horrendous -2.8 0.87178 [-3, -3, -4, -4, -3, -3, -2, -2, -1, -3] horrendously -1.9 1.92094 [-3, -2, -4, -4, 2, -1, -3, -2, 1, -3] horrent -0.9 1.04403 [0, -1, -2, 0, 0, -3, -1, 0, -2, 0] horrible -2.5 0.67082 [-2, -2, -3, -2, -2, -4, -3, -3, -2, -2] horribleness -2.4 0.4899 [-3, -3, -2, -2, -3, -2, -2, -3, -2, -2] horribles -2.1 0.7 [-2, -4, -2, -2, -1, -2, -2, -2, -2, -2] horriblemnt -2.4 0.66332 [-2, -2, -2, -2, -2, -4, -3, -3, -2, -2] horrid -2.5 1.0247 [-2, -3, -3, -4, -4, -1, -2, -2, -3, -1] horridly -1.4 1.49666 [-2, 0, -3, -2, 0, -3, 2, -2, -2, -2] horridness -2.3 1.26886 [-3, -3, -2, 1, -3, -3, -3, -3, -1, -3] horridnesses -3.0 1.09545 [-2, -3, -4, -4, -4, -4, -2, -2, -1, -4] horrific -3.4 0.91652 [-2, -4, -4, -4, -2, -4, -2, -4, -4, -4] horrifically -2.9 0.7 [-2, -3, -2, -4, -2, -4, -3, -3, -3, -3] horrified -2.5 0.92195 [-2, -3, -2, -2, -1, -4, -2, -2, -3, -4] horrifies -2.9 1.22066 [-1, -3, -2, -1, -4, -4, -4, -4, -2, -4] horrify -2.5 0.67082 [-2, -2, -3, -2, -2, -2, -4, -2, -3, -3] horrifying -2.7 0.9 [-3, -4, -3, -2, -3, -3, -4, -2, -2, -1] horrifyingly -3.3 0.9 [-3, -3, -4, -4, -1, -4, -3, -3, -4, -4] horror -2.7 1.1 [-3, -1, -4, -4, -4, -3, -1, -2, -3, -2] horrors -2.7 0.64031 [-3, -3, -4, -3, -2, -2, -2, -3, -2, -3] hostile -1.6 1.74356 [-4, -3, -3, -1, 1, -2, 2, -2, -2, -2] hostilely -2.2 0.6 [-1, -3, -3, -2, -2, -2, -2, -2, -2, -3] hostiles -1.3 1.9 [-3, -3, -3, -3, -1, 2, -3, -1, 1, 1] hostilitats -2.1 0.53852 [-2, -3, -2, -2, -2, -2, -1, -2, -3, -2] hostilitat -2.5 0.80623 [-2, -2, -3, -3, -3, -2, -4, -2, -3, -1] huckster -0.9 0.7 [-1, 0, -1, 0, -1, -2, -2, 0, -1, -1] abraçada 2.1 1.04403 [1, 3, 2, 1, 1, 2, 3, 3, 1, 4] abraçades 2.1 1.04403 [1, 3, 2, 1, 1, 2, 3, 3, 1, 4] huge 1.3 0.9 [0, 2, 2, 0, 0, 2, 2, 2, 1, 2] huggable 1.6 0.66332 [2, 2, 1, 1, 1, 3, 1, 2, 2, 1] hugged 1.7 0.78102 [2, 2, 2, 2, 3, 1, 1, 2, 0, 2] hugger 1.6 0.91652 [3, 2, 2, 2, 3, 1, 1, 1, 0, 1] huggers 1.8 0.6 [1, 3, 1, 2, 1, 2, 2, 2, 2, 2] hugging 1.8 0.74833 [2, 1, 1, 3, 3, 2, 2, 1, 2, 1] abraçades 2.2 0.74833 [3, 2, 1, 2, 2, 2, 3, 1, 3, 3] abraçada 2.2 0.74833 [3, 2, 1, 2, 2, 2, 3, 1, 3, 3] humerous 1.4 1.11355 [-1, 2, 2, 3, 1, 1, 2, 0, 2, 2] humiliate -2.5 1.28452 [-3, -3, -3, -3, -2, -2, -4, -3, 1, -3] humiliated -1.4 2.498 [3, -3, -4, -3, -3, -4, -3, 0, 1, 2] humiliates -1.0 2.09762 [1, -2, -3, -3, -3, -2, -3, 1, 2, 2] humiliating -1.2 1.8868 [-4, -1, -3, -1, 2, -1, 2, -3, -2, -1] humiliatingly -2.6 0.4899 [-3, -3, -2, -2, -3, -3, -3, -3, -2, -2] humiliation -2.7 0.78102 [-2, -3, -4, -2, -2, -2, -3, -2, -4, -3] humiliations -2.4 0.66332 [-3, -2, -2, -2, -2, -2, -2, -3, -2, -4] humor 1.1 0.53852 [1, 0, 2, 2, 1, 1, 1, 1, 1, 1] humoral 0.6 1.0198 [2, 0, 0, 0, 0, 0, 3, 1, 0, 0] humored 1.2 0.87178 [1, 1, 2, 2, 1, 1, 2, 1, 2, -1] humoresque 1.2 0.6 [1, 1, 1, 2, 1, 2, 2, 1, 1, 0] humoresques 0.9 1.04403 [1, 0, 2, 0, 0, 1, 2, 0, 3, 0] humoring 2.1 0.7 [3, 2, 2, 2, 1, 2, 2, 1, 3, 3] humorist 1.2 0.74833 [1, 2, 1, 1, 2, 1, 2, 0, 0, 2] humoristic 1.5 0.80623 [3, 0, 2, 1, 2, 1, 2, 2, 1, 1] humorists 1.3 0.78102 [2, 1, 1, 1, 0, 1, 2, 3, 1, 1] humorless -1.3 0.45826 [-1, -2, -1, -1, -1, -1, -2, -1, -1, -2] humorlessness -1.4 1.11355 [1, -3, -3, -1, -1, -2, -1, -1, -2, -1] humorous 1.6 0.4899 [1, 2, 1, 2, 2, 1, 2, 2, 1, 2] humorously 2.3 0.78102 [3, 3, 2, 2, 1, 3, 3, 1, 2, 3] humorousness 2.4 0.66332 [1, 2, 3, 2, 3, 2, 3, 3, 2, 3] humors 1.6 0.4899 [2, 1, 2, 2, 2, 2, 1, 2, 1, 1] humor 2.1 0.9434 [1, 2, 2, 4, 2, 1, 1, 3, 3, 2] humoured 1.1 0.53852 [1, 0, 1, 2, 2, 1, 1, 1, 1, 1] humouring 1.7 0.78102 [2, 3, 1, 2, 1, 0, 2, 2, 2, 2] humourous 2.0 0.7746 [1, 2, 3, 2, 2, 3, 3, 2, 1, 1] hunger -1.0 1.67332 [-4, 0, 2, -2, -1, -2, 1, -2, 0, -2] hurrah 2.6 0.8 [3, 2, 3, 3, 1, 3, 4, 2, 2, 3] hurrahed 1.9 0.53852 [2, 2, 1, 1, 2, 2, 3, 2, 2, 2] hurrahing 2.4 0.4899 [3, 2, 2, 2, 3, 2, 3, 3, 2, 2] hurrahs 2.1 1.44568 [2, 3, 0, 3, 2, 3, -1, 2, 3, 4] hurray 2.7 0.78102 [3, 2, 3, 3, 1, 3, 4, 2, 3, 3] hurrayed 1.8 1.32665 [3, 3, 2, 3, 3, 3, 0, 0, 1, 0] hurraying 1.2 1.66132 [2, -3, 2, 3, 0, 2, 2, 2, 0, 2] hurrays 2.4 1.11355 [2, 3, 2, 4, 0, 3, 2, 2, 2, 4] hurt -2.4 0.8 [-3, -3, -2, -2, -4, -3, -2, -1, -2, -2] hurter -2.3 0.78102 [-2, -4, -1, -2, -3, -3, -2, -2, -2, -2] hurters -1.9 1.04403 [-2, -3, -1, -2, -1, 0, -3, -3, -3, -1] hurtful -2.4 1.0198 [-2, -4, -2, -2, -1, -3, -2, -3, -1, -4] hurtfully -2.6 0.66332 [-3, -2, -3, -2, -2, -3, -4, -3, -2, -2] hurtfulness -1.9 1.51327 [2, -2, -2, -2, -3, -1, -2, -3, -4, -2] hurting -1.7 0.78102 [-3, -1, -1, -2, -1, -1, -3, -2, -2, -1] hurtle -0.3 1.1 [-2, 1, 0, -1, -1, -1, 0, 2, 0, -1] hurtled -0.6 0.8 [0, -2, 0, 0, 0, 0, -1, -1, -2, 0] hurtles -1.0 0.63246 [-1, -2, 0, 0, -1, -1, -1, -1, -2, -1] hurtless 0.3 1.55242 [-1, -3, 2, 1, 2, 1, 0, 0, -1, 2] hurtling -1.4 0.8 [-3, -2, -1, -1, -1, -1, -1, -2, 0, -2] hurts -2.1 0.83066 [-4, -2, -2, -2, -3, -1, -2, -2, -2, -1] hypocritical -2.0 0.89443 [-4, -2, -1, -3, -2, -1, -2, -1, -2, -2] histeria -1.9 0.7 [-1, -3, -1, -2, -2, -2, -2, -2, -1, -3] hysterical -0.1 1.97231 [2, 0, 0, 3, -2, -2, 3, -1, -2, -2] hysterics -1.8 1.77764 [-3, -3, -3, -1, -3, -1, -2, 3, -3, -2] ideal 2.4 1.2 [4, 3, 4, 4, 2, 2, 1, 2, 1, 1] idealess -1.9 1.3 [-4, -2, -3, -2, -1, 0, -4, -1, -1, -1] idealise 1.4 0.91652 [2, 2, 1, 0, 1, 3, 2, 0, 1, 2] idealised 2.1 0.83066 [1, 4, 1, 3, 2, 2, 2, 2, 2, 2] idealises 2.0 0.89443 [1, 4, 1, 2, 2, 2, 2, 3, 1, 2] idealising 0.6 0.4899 [0, 1, 1, 1, 1, 1, 1, 0, 0, 0] idealisme 1.7 1.1 [1, 2, 0, 3, 3, 2, 1, 2, 3, 0] idealismes 0.8 0.9798 [0, 2, 3, 1, 0, 0, 1, 0, 0, 1] idealist 1.6 1.56205 [2, 3, -2, 1, 3, 3, 1, 0, 2, 3] idealistic 1.8 0.9798 [2, 1, 0, 2, 4, 2, 2, 2, 1, 2] idealistically 1.7 1.1 [0, 3, 3, 1, 2, 3, 0, 2, 1, 2] idealists 0.7 1.1 [0, -2, 1, 2, 1, 1, 2, 0, 1, 1] idealities 1.5 0.67082 [2, 1, 1, 2, 1, 0, 2, 2, 2, 2] ideality 1.9 0.9434 [0, 1, 2, 3, 2, 1, 2, 3, 3, 2] idealization 1.8 0.9798 [2, 2, 2, 1, 4, 2, 2, 0, 1, 2] idealizations 1.4 0.66332 [2, 1, 1, 2, 1, 2, 1, 0, 2, 2] idealize 1.2 0.9798 [1, 2, 2, 0, 0, 1, 3, 0, 2, 1] idealized 1.8 0.74833 [2, 3, 1, 1, 2, 1, 3, 1, 2, 2] idealizer 1.3 0.9 [1, 1, 1, 1, 1, 3, 0, 1, 3, 1] idealizers 1.9 1.37477 [1, 4, 1, 2, 0, 2, 3, 2, 4, 0] idealizes 2.0 1.0 [3, 2, 2, 1, 4, 2, 2, 0, 2, 2] idealizing 1.4 1.0198 [1, 1, 2, 3, 0, 1, 3, 0, 2, 1] idealless -1.7 1.00499 [-2, -2, -2, -2, -4, -1, 0, -1, -2, -1] idealment 1.8 1.16619 [1, 0, 2, 2, 3, 2, 4, 0, 2, 2] idealogues 0.5 0.92195 [1, 0, -1, 2, 0, 0, 2, 0, 1, 0] idealogy 0.8 1.16619 [0, 3, 1, 0, 2, 0, 0, 1, 2, -1] ideals 0.8 0.6 [0, 1, 0, 2, 1, 1, 1, 0, 1, 1] idiota -2.3 0.64031 [-2, -3, -1, -3, -2, -3, -3, -2, -2, -2] idiotic -2.6 0.91652 [-3, -4, -2, -3, -2, -2, -4, -1, -3, -2] ignorable -1.0 0.63246 [-1, -1, -1, -2, 0, -1, 0, -1, -2, -1] ignorami -1.9 0.83066 [-2, -2, -3, -2, 0, -1, -2, -2, -3, -2] ignoramus -1.9 0.83066 [-1, -2, -1, -3, -1, -3, -1, -3, -2, -2] ignoramuses -2.3 1.1 [-2, -2, -3, -4, 0, -1, -3, -2, -3, -3] ignorancia -1.5 1.20416 [-2, -2, -3, -2, 0, -2, -1, -3, -1, 1] ignorances -1.2 0.9798 [0, -1, -2, -1, -2, -2, -1, 1, -2, -2] ignorant -1.1 0.83066 [-1, -1, -1, -2, 1, -2, -1, -2, -1, -1] ignorantly -1.6 0.91652 [-1, -2, -2, -2, -2, -2, -2, 1, -2, -2] ignorantness -1.1 1.44568 [3, -1, -2, -1, -1, -2, -2, -2, -1, -2] ignore -1.5 0.67082 [-1, -2, -1, -1, -1, -1, -2, -3, -2, -1] ignorat -1.3 0.45826 [-2, -1, -2, -1, -1, -2, -1, -1, -1, -1] ignorada -1.3 0.45826 [-2, -1, -2, -1, -1, -2, -1, -1, -1, -1] ignorer -1.3 0.45826 [-1, -1, -2, -1, -2, -1, -1, -1, -2, -1] ignorers -0.7 1.00499 [-1, -2, -1, -1, -1, 1, 0, -2, 1, -1] ignores -1.1 0.3 [-1, -1, -2, -1, -1, -1, -1, -1, -1, -1] ignoring -1.7 0.64031 [-1, -1, -1, -2, -2, -3, -2, -1, -2, -2] malalt -1.8 0.9798 [-2, 0, -2, -1, -4, -2, -2, -2, -1, -2] malaltia -1.8 0.9798 [-2, 0, -2, -1, -4, -2, -2, -2, -1, -2] illegal -2.6 0.8 [-3, -4, -3, -2, -1, -2, -3, -3, -2, -3] illiteracy -1.9 0.7 [-2, -1, -2, -2, -3, -2, -1, -2, -1, -3] illness -1.7 0.64031 [-2, -1, -2, -2, -3, -2, -1, -2, -1, -1] illnesses -2.2 0.74833 [-2, -2, -2, -4, -2, -3, -2, -1, -2, -2] imbecil -2.2 0.9798 [-3, -2, -3, -3, -3, -1, -3, 0, -2, -2] immobilized -1.2 0.87178 [-1, -3, 0, -1, -1, 0, -2, -1, -2, -1] immoral -2.0 1.09545 [-4, -1, -1, -3, -2, -3, -3, -1, -1, -1] immoralism -1.6 0.91652 [-2, -2, -2, -2, 1, -2, -2, -2, -1, -2] immoralist -2.1 0.3 [-2, -2, -3, -2, -2, -2, -2, -2, -2, -2] immoralists -1.7 0.78102 [-2, -2, -2, -3, -1, -1, -1, -1, -3, -1] immoralities -1.1 1.51327 [-2, -1, -4, -3, 1, 1, -1, 0, -1, -1] immorality -0.6 2.2891 [3, -3, 1, 2, 2, -2, -4, -1, -2, -2] immoralment -2.1 0.7 [-1, -1, -2, -2, -3, -2, -3, -2, -2, -3] immortal 1.0 1.73205 [3, 3, 2, 2, -2, -2, 2, 1, 1, 0] immune 1.2 0.74833 [2, 2, 0, 1, 2, 1, 2, 1, 1, 0] impaciencia -1.8 0.4 [-2, -2, -1, -2, -2, -2, -2, -1, -2, -2] impatiens -0.2 0.6 [0, 0, -1, 0, 0, 0, 1, -1, -1, 0] impacient -1.2 0.4 [-1, -1, -1, -1, -1, -1, -2, -1, -1, -2] impatiently -1.7 0.64031 [-1, -1, -2, -3, -1, -2, -1, -2, -2, -2] imperfecte -1.3 0.64031 [-1, -1, -1, -1, -1, -2, -3, -1, -1, -1] impersonal -1.3 0.45826 [-2, -2, -1, -1, -2, -1, -1, -1, -1, -1] impolite -1.6 0.66332 [-2, -1, -3, -1, -1, -1, -1, -2, -2, -2] impolitely -1.8 0.6 [-2, -2, -1, -1, -2, -1, -2, -2, -3, -2] impoliteness -1.8 0.87178 [-1, -3, -2, -3, -2, -3, -1, -1, -1, -1] impolitenesses -2.3 0.78102 [-3, -2, -2, -1, -1, -3, -3, -2, -3, -3] importancia 1.5 0.80623 [2, 1, 2, 3, 1, 2, 1, 0, 2, 1] importancies 0.4 1.42829 [0, 0, 1, 2, 0, 0, 2, 2, 0, -3] importancia 1.4 0.66332 [2, 1, 2, 2, 1, 2, 1, 0, 2, 1] important 0.8 1.07703 [0, 0, 0, 2, 1, 0, 0, 3, 2, 0] importantly 1.3 0.78102 [2, 1, 2, 1, 2, 2, 0, 0, 1, 2] impose -1.2 0.4 [-1, -1, -1, -1, -2, -1, -2, -1, -1, -1] imposat -0.3 1.41774 [2, -1, -1, -1, 1, 0, -2, 2, -2, -1] imposada -0.3 1.41774 [2, -1, -1, -1, 1, 0, -2, 2, -2, -1] imposes -0.4 1.42829 [-2, -1, 1, -2, -1, -1, -2, 1, 2, 1] imposing -0.4 1.0198 [1, -1, -2, -1, 1, 1, 0, -1, -1, -1] impotent -1.1 0.3 [-1, -1, -1, -2, -1, -1, -1, -1, -1, -1] impress 1.9 0.53852 [2, 2, 1, 2, 2, 2, 2, 1, 2, 3] impressed 2.1 0.3 [2, 2, 2, 2, 2, 2, 3, 2, 2, 2] impresses 2.1 0.3 [2, 2, 2, 2, 2, 2, 3, 2, 2, 2] impressibility 1.2 1.249 [-1, 2, 0, 2, 0, 2, 2, 3, 2, 0] impressible 0.8 1.16619 [2, -1, 1, 0, -1, 2, 1, 0, 2, 2] impressing 2.5 0.92195 [3, 4, 1, 2, 3, 2, 3, 1, 3, 3] impressio 0.9 0.9434 [0, 1, 0, 0, 2, 2, 0, 2, 0, 2] impressionable 0.2 1.07703 [0, 0, -1, 1, -1, -1, 0, 2, 0, 2] impressionisme 0.8 1.07703 [0, 2, 3, 0, 0, 2, 0, 0, 1, 0] impressionismes 0.5 0.80623 [0, 0, 0, 0, 0, 2, 0, 1, 0, 2] impressionista 1.0 1.09545 [0, 2, 3, 0, 0, 2, 2, 0, 1, 0] impressionistic 1.5 1.20416 [2, 2, 0, 0, 1, 0, 2, 2, 4, 2] impressionisticament 1.6 0.8 [2, 0, 1, 1, 2, 2, 3, 2, 2, 1] impressionistes 0.5 1.43178 [2, 0, 0, 1, 1, 2, -2, 2, 1, -2] impressions 0.9 1.13578 [2, 0, 0, 3, 0, 2, 0, 2, 0, 0] impressive 2.3 0.78102 [1, 2, 3, 2, 3, 2, 3, 3, 3, 1] impressively 2.0 0.89443 [3, 1, 1, 2, 2, 2, 2, 4, 2, 1] impressiveness 1.7 0.64031 [2, 1, 2, 3, 1, 2, 2, 2, 1, 1] impressment -0.4 1.85472 [-2, 1, 3, -2, -1, -3, 0, 0, 2, -2] impressments 0.5 1.20416 [2, 0, 0, 1, 2, 2, 0, -2, 0, 0] impressure 0.6 1.0198 [-1, 0, 0, 0, 0, 2, 0, 2, 1, 2] empresonat -2.0 1.0 [-4, -2, -3, -1, -3, -2, -1, -2, -1, -1] empresonada -2.0 1.0 [-4, -2, -3, -1, -3, -2, -1, -2, -1, -1] millora 1.9 0.7 [2, 3, 3, 2, 1, 1, 2, 2, 1, 2] millorat 2.1 0.7 [3, 1, 2, 3, 2, 3, 1, 2, 2, 2] millorada 2.1 0.7 [3, 1, 2, 3, 2, 3, 1, 2, 2, 2] improvement 2.0 0.63246 [2, 3, 3, 2, 1, 1, 2, 2, 2, 2] millores 1.3 0.64031 [0, 2, 2, 1, 2, 2, 1, 1, 1, 1] improver 1.8 0.6 [2, 1, 2, 1, 2, 3, 1, 2, 2, 2] improvers 1.3 0.78102 [1, 2, 2, 1, 2, 2, 0, 0, 1, 2] improves 1.8 1.07703 [3, -1, 2, 2, 2, 3, 1, 2, 2, 2] improving 1.8 0.4 [2, 2, 1, 1, 2, 2, 2, 2, 2, 2] inability -1.7 0.9 [-2, -2, -3, 0, -2, -3, -2, -1, -1, -1] inaccio -1.0 0.63246 [-2, -1, 0, -1, -1, 0, -1, -2, -1, -1] inadequacies -1.7 0.64031 [-1, -3, -2, -1, -2, -1, -2, -2, -1, -2] inadequacy -1.7 0.78102 [-1, -3, -1, -1, -3, -2, -2, -1, -2, -1] inadequate -1.7 0.64031 [-2, -1, -1, -3, -1, -1, -2, -2, -2, -2] inadequately -1.0 1.26491 [-3, -1, -1, -2, 2, -1, -2, -1, 0, -1] inadequateness -1.7 0.45826 [-2, -2, -1, -1, -1, -2, -2, -2, -2, -2] inadequatenesses -1.6 0.91652 [-1, -1, -2, -1, -2, -4, -2, -1, -1, -1] incapable -1.6 0.4899 [-1, -2, -1, -1, -2, -1, -2, -2, -2, -2] incapacitated -1.9 0.9434 [-2, -2, -1, -1, -2, -4, -1, -1, -2, -3] incensed -2.0 1.0 [-2, -1, -4, 0, -2, -2, -2, -3, -2, -2] incentive 1.5 1.0247 [1, 2, 1, 2, 1, 0, 4, 2, 1, 1] incentives 1.3 1.34536 [2, 2, 1, 1, 3, 1, -2, 3, 1, 1] incompetencia -2.3 0.45826 [-3, -2, -2, -3, -2, -3, -2, -2, -2, -2] incompetent -2.1 0.83066 [-1, -1, -2, -2, -3, -3, -2, -3, -1, -3] inconsiderate -1.9 0.7 [-2, -1, -1, -1, -2, -2, -2, -3, -3, -2] inconvenience -1.5 0.5 [-1, -2, -1, -1, -1, -2, -2, -1, -2, -2] inconvenient -1.4 0.4899 [-2, -2, -1, -2, -1, -2, -1, -1, -1, -1] augmenta 1.3 0.64031 [1, 2, 2, 1, 2, 0, 1, 1, 2, 1] augmentat 1.1 1.04403 [2, 0, 3, 2, 2, 1, 0, 1, 0, 0] indecision -0.8 0.6 [-1, 0, -1, 0, -1, -1, -2, 0, -1, -1] indecisions -1.1 0.53852 [-1, -1, -1, -1, -2, -1, -2, -1, 0, -1] indecisive -1.0 0.44721 [0, -1, -1, -1, -1, -2, -1, -1, -1, -1] indecisively -0.7 1.18743 [-2, -1, -1, -1, -1, -1, -2, 2, 1, -1] indecisiveness -1.3 0.64031 [-1, -3, -1, -2, -1, -1, -1, -1, -1, -1] indecisivenesses -0.9 0.53852 [-1, -1, 0, -1, -1, 0, -1, -2, -1, -1] indestructible 0.6 1.85472 [3, 4, -1, -2, 1, 1, 2, 0, -1, -1] indifference -0.2 0.74833 [0, -1, 0, 0, 0, 1, -2, 0, 0, 0] indifferent -0.8 0.6 [-1, 0, 0, -1, -2, -1, -1, 0, -1, -1] indignant -1.8 0.74833 [-1, -3, -2, -2, -2, -1, -1, -1, -3, -2] indignacio -2.4 0.8 [-2, -1, -2, -3, -3, -3, -1, -3, -3, -3] indoctrinate -1.4 0.91652 [-1, -3, -1, 0, -2, -1, -2, -2, 0, -2] indoctrinated -0.4 1.35647 [1, -2, -3, 1, -1, 1, 1, -1, -1, 0] indoctrinates -0.6 1.2 [1, -1, -3, 1, -1, 1, -1, -1, -1, -1] indoctrinating -0.7 1.41774 [-1, 0, -3, -1, -2, -1, 2, -2, 0, 1] ineffective -0.5 1.74642 [-2, -1, -1, -1, -2, 2, -2, 1, 3, -2] ineffectively -1.3 0.9 [-2, -2, -2, 1, -1, -1, -1, -2, -1, -2] ineffectiveness -1.3 0.45826 [-1, -1, -2, -1, -1, -2, -1, -1, -2, -1] ineffectual -1.2 0.4 [-1, -1, -1, -1, -1, -1, -1, -2, -2, -1] ineffectuality -1.6 0.66332 [-2, -1, -1, -1, -2, -1, -3, -2, -2, -1] ineffectually -1.1 0.9434 [-1, -2, -2, -1, 0, -1, -2, -1, 1, -2] ineffectualness -1.3 0.45826 [-2, -1, -1, -1, -1, -2, -1, -1, -2, -1] infatuated 0.2 1.72047 [3, 2, 0, 3, -1, -1, -2, 0, -1, -1] infatuation 0.6 1.74356 [1, -1, -1, 2, -1, 1, 4, 2, 1, -2] infected -2.2 0.6 [-3, -2, -2, -2, -2, -2, -3, -1, -2, -3] inferior -1.7 0.78102 [-1, -2, -2, -1, -1, -3, -2, -1, -1, -3] inferiorities -1.9 0.7 [-2, -3, -1, -2, -2, -3, -1, -1, -2, -2] inferioritat -1.1 1.7 [-2, -3, -2, -2, -2, -3, 2, 1, -1, 1] inferiorly -2.0 0.63246 [-3, -2, -2, -2, -2, -3, -1, -2, -1, -2] inferiors -0.5 1.43178 [-1, -1, -1, -2, -1, 0, 3, -1, 1, -2] inflamed -1.4 1.28062 [-2, -2, -1, -2, -2, -1, 2, -3, -2, -1] influential 1.9 1.04403 [3, 1, 2, 3, 4, 1, 1, 2, 1, 1] infringement -2.1 0.83066 [-3, -1, -2, -1, -2, -1, -3, -3, -2, -3] infuriate -2.2 0.87178 [-2, -1, -3, -3, -2, -3, -3, -1, -1, -3] infuriated -3.0 0.7746 [-1, -4, -3, -3, -3, -3, -3, -3, -3, -4] infuriates -2.6 0.8 [-4, -2, -1, -3, -3, -3, -2, -3, -3, -2] infuriating -2.4 1.42829 [-1, -3, -3, -3, -3, -4, 0, 0, -4, -3] inhibin -0.2 0.4 [-1, 0, 0, 0, 0, 0, 0, 0, -1, 0] inhibit -1.6 0.4899 [-1, -2, -1, -2, -1, -2, -2, -2, -1, -2] inhibited -0.4 0.4899 [0, 0, -1, 0, -1, -1, 0, -1, 0, 0] inhibiting -0.4 1.42829 [1, -1, -1, -1, -2, -1, 2, -2, 2, -1] inhibition -1.5 0.67082 [-1, -1, -1, -1, -2, -1, -1, -2, -2, -3] inhibitions -0.8 0.74833 [-2, -1, -2, 0, 0, 0, 0, -1, -1, -1] inhibitive -1.4 0.4899 [-2, -2, -1, -1, -2, -1, -2, -1, -1, -1] inhibitor -0.3 1.00499 [-2, 1, 1, -1, 1, 0, -1, -1, 0, -1] inhibitors -1.0 0.7746 [-1, 0, -2, -1, -2, -2, 0, 0, -1, -1] inhibitory -1.0 0.7746 [0, -1, -2, -2, -1, -2, 0, 0, -1, -1] inhibits -0.9 0.53852 [-1, -1, -2, -1, -1, 0, -1, -1, -1, 0] injured -1.7 0.64031 [-2, -1, -1, -1, -2, -1, -2, -2, -3, -2] injury -1.8 0.6 [-2, -2, -1, -2, -1, -1, -2, -3, -2, -2] injusticia -2.7 0.64031 [-3, -2, -3, -4, -3, -3, -2, -2, -3, -2] inocencia 1.6 0.91652 [3, 1, 1, 1, 2, 2, 0, 3, 2, 1] innocency 1.9 0.83066 [3, 1, 2, 0, 2, 2, 2, 3, 2, 2] innocent 1.4 1.2 [1, -1, 2, 2, 2, 0, 1, 3, 3, 1] innocenter 0.9 1.37477 [1, 1, 1, 2, 2, 1, 1, -3, 1, 2] innocently 1.4 0.8 [0, 2, 1, 1, 1, 1, 3, 2, 2, 1] innocents 1.1 1.04403 [0, 0, 2, 2, 2, -1, 1, 1, 2, 2] innovate 2.2 0.74833 [2, 4, 3, 2, 2, 1, 2, 2, 2, 2] innovates 2.0 0.89443 [2, 2, 2, 0, 1, 3, 3, 2, 3, 2] innovation 1.6 0.91652 [1, 0, 3, 2, 1, 2, 3, 2, 1, 1] innovative 1.9 0.83066 [1, 1, 2, 1, 2, 4, 2, 2, 2, 2] inquisicio -1.2 1.249 [-2, 1, -1, 0, 0, -3, -1, -3, -2, -1] inquisitive 0.7 1.18743 [2, 1, 1, 2, -2, -1, 1, 1, 1, 1] insane -1.7 0.78102 [-2, 0, -2, -1, -2, -3, -2, -2, -1, -2] insanity -2.7 1.00499 [-2, -4, -1, -1, -3, -4, -3, -3, -3, -3] insegur -1.8 0.74833 [-1, -2, -2, -1, -3, -2, -3, -2, -1, -1] insecurely -1.4 0.66332 [-3, -1, -1, -1, -2, -1, -2, -1, -1, -1] insecureness -1.8 0.87178 [-1, -1, -1, -3, -3, -3, -2, -2, -1, -1] insecurities -1.8 0.6 [-3, -2, -2, -2, -1, -2, -1, -1, -2, -2] insecurity -1.8 0.74833 [-2, -2, -2, -1, -3, -3, -2, -1, -1, -1] insensitive -0.9 1.81384 [2, -3, -2, -1, 2, -3, -2, 1, -1, -2] insensitivity -1.8 0.6 [-2, -2, -1, -3, -2, -2, -1, -2, -1, -2] insignificant -1.4 0.8 [-3, -2, -1, -2, -1, -2, 0, -1, -1, -1] insincere -1.8 0.6 [-2, -1, -2, -1, -2, -2, -2, -2, -1, -3] insincerely -1.9 0.7 [-2, -1, -2, -2, -1, -3, -2, -3, -1, -2] insincerity -1.4 1.35647 [-1, -1, -3, -2, -1, 2, -2, -1, -2, -3] insipid -2.0 0.7746 [-1, -2, -2, -1, -3, -3, -3, -2, -2, -1] inspiration 2.4 0.8 [3, 3, 3, 3, 1, 3, 1, 3, 2, 2] inspirational 2.3 0.64031 [2, 3, 2, 3, 2, 3, 2, 3, 1, 2] inspirationally 2.3 0.64031 [3, 2, 2, 3, 3, 1, 2, 2, 3, 2] inspirations 2.1 0.53852 [2, 2, 2, 2, 1, 2, 2, 3, 3, 2] inspirator 1.9 1.22066 [2, 2, 3, 0, 3, 4, 0, 2, 1, 2] inspirators 1.2 0.74833 [3, 1, 1, 2, 1, 1, 1, 1, 0, 1] inspiratory 1.5 0.67082 [2, 2, 3, 1, 1, 1, 1, 1, 2, 1] inspire 2.7 0.78102 [2, 3, 3, 3, 3, 3, 3, 1, 4, 2] inspired 2.2 0.87178 [3, 2, 1, 3, 1, 1, 3, 2, 3, 3] inspirer 2.2 1.07703 [3, 2, 2, 4, 0, 2, 3, 1, 3, 2] inspirers 2.0 0.63246 [2, 2, 3, 2, 3, 2, 1, 2, 1, 2] inspires 1.9 1.04403 [2, 2, 2, 4, 0, 2, 3, 1, 1, 2] inspiring 1.8 1.07703 [2, 2, 2, -1, 2, 3, 2, 2, 1, 3] inspiringly 2.6 0.4899 [2, 3, 3, 2, 3, 3, 2, 3, 2, 3] inspirit 1.9 0.7 [1, 3, 2, 1, 2, 1, 3, 2, 2, 2] inspirited 1.3 1.18743 [2, 2, 0, 0, 3, 0, 2, 0, 3, 1] inspiriting 1.8 0.4 [1, 2, 1, 2, 2, 2, 2, 2, 2, 2] inspiritingly 2.1 1.44568 [3, 2, 2, 2, 4, 1, -1, 3, 4, 1] inspirits 0.8 1.46969 [3, 0, 3, -2, 0, 1, 1, 0, 2, 0] insult -2.3 1.00499 [-2, -1, -2, -3, -4, -1, -3, -1, -3, -3] insulted -2.3 0.45826 [-2, -2, -2, -2, -3, -2, -2, -2, -3, -3] insulter -2.0 0.63246 [-2, -1, -2, -2, -1, -3, -3, -2, -2, -2] insulters -2.0 0.44721 [-2, -3, -2, -2, -2, -2, -2, -1, -2, -2] insulting -2.2 0.74833 [-3, -2, -3, -3, -2, -3, -1, -2, -2, -1] insultingly -2.3 0.78102 [-3, -3, -1, -2, -2, -3, -2, -1, -3, -3] insults -1.8 0.6 [-2, -3, -2, -2, -1, -1, -1, -2, -2, -2] intact 0.8 0.6 [1, 1, 0, 0, 1, 1, 0, 1, 1, 2] integritat 1.6 0.66332 [2, 1, 1, 1, 2, 1, 3, 1, 2, 2] intellect 2.0 1.09545 [2, 1, 4, 2, 1, 3, 2, 3, 0, 2] intellection 0.6 1.0198 [0, 0, 0, 1, 0, 0, 0, 0, 2, 3] intellections 0.8 0.87178 [1, 0, 1, 0, 1, 1, 1, 0, 0, 3] intellective 1.7 0.78102 [3, 2, 1, 2, 2, 1, 0, 2, 2, 2] intellectively 0.8 0.9798 [0, 0, 1, 1, 0, 3, 0, 1, 2, 0] intellects 1.8 0.87178 [1, 0, 2, 1, 3, 2, 2, 2, 3, 2] intellectual 2.3 0.9 [3, 3, 1, 2, 3, 4, 2, 2, 1, 2] intellectualism 2.2 1.07703 [4, 0, 3, 1, 3, 2, 2, 3, 2, 2] intellectualist 2.0 1.0 [4, 0, 2, 1, 3, 2, 2, 2, 2, 2] intellectualistic 1.3 1.73494 [1, 4, 0, 3, -2, 0, 2, 3, 0, 2] intellectualists 0.8 0.74833 [0, 1, 1, 1, 0, 2, 0, 1, 2, 0] intellectualities 1.7 1.34536 [3, 3, 0, 2, 1, 0, 0, 4, 2, 2] intellectuality 1.7 1.1 [3, 2, 2, 1, 2, 1, 0, 3, 0, 3] intellectualization 1.5 1.11803 [2, 1, 2, 1, 4, 2, 0, 0, 2, 1] intellectualize 1.5 0.92195 [1, 2, 1, 1, 3, 2, 3, 0, 1, 1] intellectualized 1.2 0.74833 [1, 0, 1, 1, 2, 0, 1, 2, 2, 2] intellectualizes 1.8 0.87178 [2, 3, 2, 0, 2, 3, 2, 2, 1, 1] intellectualizing 0.8 1.77764 [0, 1, 2, 1, 0, 2, 2, -4, 2, 2] intellectually 1.4 0.8 [2, 0, 0, 1, 2, 2, 2, 2, 2, 1] intellectualness 1.5 0.80623 [2, 2, 2, 2, 0, 0, 1, 2, 2, 2] intellectuals 1.6 0.8 [0, 1, 2, 1, 3, 2, 1, 2, 2, 2] intelligence 2.1 0.9434 [3, 2, 2, 1, 3, 3, 3, 2, 2, 0] intelligencer 1.5 0.80623 [2, 0, 0, 2, 2, 2, 2, 1, 2, 2] intelligencers 1.6 0.91652 [2, 2, 0, 2, 2, 0, 3, 2, 2, 1] intelligences 1.6 0.91652 [3, 0, 0, 2, 2, 2, 2, 1, 2, 2] intelligent 2.0 0.7746 [1, 2, 2, 1, 4, 2, 2, 2, 2, 2] intelligential 1.9 0.9434 [3, 2, 2, 1, 3, 2, 2, 3, 0, 1] intelligently 2.0 0.63246 [2, 3, 2, 3, 1, 2, 2, 1, 2, 2] intelligentsia 1.5 1.20416 [0, 1, 2, 0, 4, 3, 2, 1, 1, 1] intelligibility 1.5 0.80623 [2, 2, 0, 2, 2, 1, 2, 0, 2, 2] intelligible 1.4 0.8 [1, 2, 2, 1, 0, 2, 1, 1, 3, 1] intelligibleness 1.5 1.20416 [2, 1, 3, -1, 2, 2, 2, 0, 1, 3] intelligibly 1.2 0.87178 [1, 2, 1, 2, 1, -1, 2, 2, 1, 1] intense 0.3 0.45826 [0, 1, 1, 0, 0, 0, 0, 0, 1, 0] interest 2.0 1.18322 [2, 3, 3, 1, 1, 3, 4, 1, 2, 0] interested 1.7 0.45826 [2, 1, 2, 2, 1, 2, 2, 2, 1, 2] interestedly 1.5 0.67082 [2, 2, 2, 1, 2, 1, 2, 1, 0, 2] interesting 1.7 0.78102 [1, 2, 1, 3, 1, 1, 1, 3, 2, 2] interestingly 1.7 0.45826 [2, 2, 2, 1, 2, 1, 1, 2, 2, 2] interestingness 1.8 0.87178 [2, 3, 1, 3, 1, 3, 2, 1, 1, 1] interests 1.0 0.89443 [1, 0, 1, 2, 0, 0, 1, 1, 1, 3] interrogated -1.6 1.0198 [-3, -1, -1, -1, -2, -1, -3, -1, -3, 0] interrupt -1.4 0.4899 [-2, -1, -1, -1, -2, -2, -1, -1, -2, -1] interrupted -1.2 0.6 [-1, -2, -1, 0, -1, -1, -2, -1, -2, -1] interrupter -1.1 0.53852 [-1, -2, -1, 0, -1, -1, -1, -1, -2, -1] interrupters -1.3 0.45826 [-1, -2, -1, -1, -1, -1, -2, -1, -2, -1] interruptible -1.3 1.00499 [-2, -1, 0, -2, 0, -3, -2, -1, 0, -2] interrupting -1.2 0.4 [-2, -1, -1, -1, -1, -2, -1, -1, -1, -1] interruption -1.5 0.67082 [-1, -1, -2, -3, -2, -1, -1, -1, -2, -1] interruptions -1.7 0.45826 [-2, -2, -2, -2, -2, -1, -1, -1, -2, -2] interruptive -1.4 0.66332 [-2, -2, -1, -2, -2, 0, -1, -1, -1, -2] interruptor -1.3 0.64031 [-2, -1, -1, -1, 0, -2, -2, -2, -1, -1] interrupts -1.3 0.64031 [-1, -1, -2, -1, -1, -1, -1, -1, -3, -1] intimidate -0.8 1.46969 [-1, -2, -2, -2, -2, -1, 2, 1, 1, -2] intimidated -1.9 0.7 [-2, -1, -3, -3, -1, -2, -2, -1, -2, -2] intimidates -1.3 0.78102 [-2, -1, -1, -1, -3, -2, -1, -1, -1, 0] intimidating -1.9 1.04403 [0, -2, -1, -3, -2, -1, -1, -3, -3, -3] intimidatingly -1.1 1.64012 [2, -2, -3, -1, -2, -2, 2, -2, -1, -2] intimidation -1.8 1.249 [1, -2, -3, -1, -2, -3, -1, -3, -1, -3] intimidations -1.4 1.49666 [1, -2, -2, -2, -1, -1, -1, -4, 1, -3] intimidator -1.6 0.4899 [-1, -1, -2, -2, -1, -2, -2, -1, -2, -2] intimidadors -1.6 0.8 [-1, -1, -3, -2, -1, -1, -3, -1, -2, -1] intimidatory -1.1 1.22066 [-1, -2, -3, -1, -1, -1, -2, 2, -1, -1] intricate 0.6 0.66332 [1, 0, 2, 1, 0, 1, 1, 0, 0, 0] intrigues 0.9 0.9434 [2, -1, 2, 1, 2, 0, 1, 1, 0, 1] invigorate 1.9 0.83066 [2, 2, 2, 0, 2, 3, 3, 2, 1, 2] invigorated 0.8 1.8868 [-2, 3, 2, 2, -2, -2, 2, 2, 1, 2] invigorates 2.1 0.53852 [3, 2, 3, 2, 1, 2, 2, 2, 2, 2] invigorating 2.1 0.7 [2, 1, 1, 3, 3, 3, 2, 2, 2, 2] invigoratingly 2.0 0.63246 [2, 2, 1, 2, 1, 3, 2, 2, 2, 3] invigoration 1.5 1.36015 [2, 2, 1, -2, 1, 3, 3, 2, 1, 2] invigorations 1.2 0.87178 [1, -1, 2, 2, 1, 1, 2, 1, 2, 1] invigorator 1.1 1.3 [3, 1, 0, 2, 2, -2, 1, 1, 2, 1] invigorators 1.2 0.87178 [1, 1, 1, 1, 3, 2, 0, 0, 1, 2] invincible 2.2 1.77764 [4, 1, 3, 2, 4, 1, 4, -1, 0, 4] invite 0.6 0.66332 [2, 1, 1, 0, 0, 0, 0, 1, 1, 0] inviting 1.3 0.45826 [1, 1, 1, 2, 1, 2, 2, 1, 1, 1] invulnerable 1.3 1.73494 [2, 3, 4, 2, 0, 3, 0, 1, -2, 0] irate -2.9 0.53852 [-3, -3, -3, -2, -3, -4, -3, -3, -2, -3] ironic -0.5 1.28452 [1, 0, 0, 0, 0, 0, -4, -1, -1, 0] irony -0.2 1.07703 [-1, 0, -3, 0, 0, 0, 1, 0, 1, 0] irrational -1.4 0.4899 [-1, -1, -1, -2, -2, -2, -1, -1, -2, -1] irrationalism -1.5 0.5 [-1, -2, -1, -1, -2, -1, -2, -2, -1, -2] irrationalist -2.1 0.9434 [-1, -4, -2, -2, -3, -3, -2, -1, -1, -2] irrationalists -1.5 0.92195 [-2, -2, -1, -2, -2, 1, -1, -2, -2, -2] irrationalities -1.5 0.80623 [-2, -2, 0, -1, -1, -1, -2, -3, -1, -2] irrationality -1.7 0.9 [-3, -3, -1, -2, -1, -1, -1, -1, -3, -1] irrationally -1.6 0.4899 [-1, -2, -1, -2, -1, -2, -2, -2, -1, -2] irrationals -1.1 0.83066 [-2, 0, -1, 0, -1, -1, -3, -1, -1, -1] irresistible 1.4 2.2 [2, 3, 2, 3, 4, 4, 1, -1, -2, -2] irresolute -1.4 0.66332 [-2, -2, -1, -2, -1, -1, -1, -2, -2, 0] irresponsible -1.9 0.3 [-2, -2, -2, -2, -2, -2, -1, -2, -2, -2] irreversible -0.8 0.87178 [-2, -2, 0, -1, 0, 0, 0, -1, -2, 0] irritabilities -1.7 0.64031 [-2, -2, -2, -1, -1, -1, -1, -2, -3, -2] irritability -1.4 1.28062 [-2, -1, -2, -1, 2, -2, -2, -2, -1, -3] irritable -2.1 0.7 [-2, -2, -3, -1, -2, -1, -3, -2, -3, -2] irritableness -1.7 0.64031 [-2, -2, -2, -1, -2, -1, -1, -3, -1, -2] irritably -1.8 0.6 [-2, -2, -1, -1, -3, -2, -1, -2, -2, -2] irritant -2.3 0.78102 [-3, -3, -3, -3, -3, -1, -2, -2, -2, -1] irritants -2.1 0.83066 [-2, -3, -1, -4, -2, -1, -2, -2, -2, -2] irritate -1.8 0.6 [-3, -2, -2, -2, -1, -2, -1, -2, -1, -2] irritated -2.0 0.63246 [-1, -2, -2, -2, -3, -2, -2, -3, -1, -2] irritates -1.7 0.78102 [-1, -2, -1, -1, -3, -2, -2, -3, -1, -1] irritating -2.0 0.63246 [-2, -2, -2, -1, -1, -3, -2, -2, -3, -2] irritatingly -2.0 0.44721 [-2, -2, -2, -3, -1, -2, -2, -2, -2, -2] irritation -2.3 0.78102 [-3, -2, -2, -2, -1, -3, -3, -1, -3, -3] irritations -1.5 0.67082 [-2, -2, -1, -1, -1, -1, -1, -2, -3, -1] irritative -2.0 0.63246 [-3, -2, -3, -2, -1, -2, -2, -2, -1, -2] isolatable 0.2 1.249 [1, 0, -2, 0, -1, -1, 2, 0, 2, 1] aillar -0.8 0.74833 [-1, -1, -1, 0, 0, 0, 0, -2, -1, -2] marginar -0.8 0.74833 [-1, -1, -1, 0, 0, 0, 0, -2, -1, -2] aillat -1.3 0.64031 [-1, -1, -1, -1, -1, -1, -2, -1, -3, -1] marginat -1.3 0.64031 [-1, -1, -1, -1, -1, -1, -2, -1, -3, -1] isolates -1.3 0.64031 [-1, -1, -1, -1, -2, -1, -3, -1, -1, -1] isolation -1.7 0.78102 [-1, -3, -1, -2, -2, -1, -3, -1, -2, -1] isolationism 0.4 1.62481 [2, 0, -1, -2, -1, 3, 0, 2, -1, 2] isolationist 0.7 1.55242 [2, 0, 0, -1, -1, 3, 0, 2, -1, 3] isolations -0.5 1.11803 [-1, -2, -2, -1, 1, 1, -1, 0, 1, -1] isolator -0.4 0.66332 [0, 0, -1, 0, -1, 0, -2, 0, 0, 0] isolators -0.4 1.42829 [-2, -1, -1, -2, 2, 2, -1, 1, -1, -1] itchy -1.1 0.53852 [-1, -1, -1, -1, -2, 0, -1, -1, -2, -1] jackass -1.8 1.07703 [-1, 0, -3, -2, -2, -3, 0, -2, -2, -3] jackasses -2.8 0.9798 [-2, -2, -4, -3, -4, -4, -3, -1, -2, -3] jaded -1.6 0.66332 [-1, -1, -1, -2, -2, -1, -2, -2, -1, -3] jailed -2.2 0.87178 [-4, -3, -2, -2, -1, -2, -2, -3, -1, -2] jaunty 1.2 0.6 [2, 1, 0, 2, 1, 1, 1, 2, 1, 1] jealous -2.0 0.63246 [-2, -2, -3, -2, -3, -2, -1, -1, -2, -2] jealousies -2.0 0.63246 [-2, -3, -2, -1, -2, -3, -2, -1, -2, -2] jealously -2.0 0.89443 [-1, -3, -1, -4, -2, -2, -1, -2, -2, -2] jealousness -1.7 0.45826 [-1, -2, -2, -2, -2, -1, -1, -2, -2, -2] jealousy -1.3 1.73494 [-2, -3, -2, -2, -2, 2, -3, -1, 2, -2] jeopardy -2.1 0.9434 [-3, -3, -3, -1, -1, -3, -2, -1, -1, -3] tiró -1.4 0.8 [-1, -1, -1, -2, -3, 0, -2, -1, -1, -2] agarró -1.4 0.8 [-1, -1, -1, -2, -3, 0, -2, -1, -1, -2] jerked -0.8 0.74833 [0, -1, -1, 0, -2, -1, 0, -1, 0, -2] jerks -1.1 1.51327 [-2, -2, -1, -2, -1, 0, -2, 3, -2, -2] jewel 1.5 1.20416 [1, 3, 2, 0, 2, 1, 3, 0, 3, 0] jewels 2.0 1.34164 [3, 1, 0, 0, 4, 3, 3, 2, 3, 1] jocular 1.2 1.249 [0, 1, 2, -2, 1, 2, 2, 2, 2, 2] unir 1.2 0.74833 [2, 2, 1, 2, 1, 0, 1, 2, 0, 1] acompanyar 1.2 0.74833 [2, 2, 1, 2, 1, 0, 1, 2, 0, 1] broma 1.2 0.74833 [1, 1, 1, 1, 1, 1, 0, 2, 1, 3] acudit 1.2 0.74833 [1, 1, 1, 1, 1, 1, 0, 2, 1, 3] joked 1.3 0.64031 [1, 1, 2, 2, 0, 2, 1, 1, 2, 1] bromista 0.5 0.92195 [1, 1, -1, 1, 2, -1, 1, 1, 0, 0] jokes 1.0 0.7746 [1, 1, -1, 1, 1, 2, 1, 1, 2, 1] bromita 1.5 0.67082 [2, 2, 2, 2, 1, 1, 0, 1, 2, 2] guaso 1.5 0.67082 [2, 2, 2, 2, 1, 1, 0, 1, 2, 2] guasona 1.5 0.67082 [2, 2, 2, 2, 1, 1, 0, 1, 2, 2] guasons 0.9 0.83066 [0, 0, 2, 1, 1, 2, 2, 0, 1, 0] guasones 0.9 0.83066 [0, 0, 2, 1, 1, 2, 2, 0, 1, 0] en broma 1.1 0.3 [1, 1, 2, 1, 1, 1, 1, 1, 1, 1] joking 0.9 0.53852 [1, 2, 1, 1, 1, 0, 1, 1, 0, 1] jollied 2.4 0.66332 [3, 3, 2, 2, 3, 3, 2, 2, 1, 3] jollier 2.4 0.4899 [2, 2, 3, 3, 2, 2, 2, 3, 2, 3] jollies 2.0 0.63246 [1, 2, 3, 2, 2, 2, 1, 2, 2, 3] jolliest 2.9 0.7 [3, 3, 2, 4, 3, 2, 3, 4, 2, 3] jollification 2.2 0.74833 [2, 3, 3, 1, 2, 1, 3, 2, 3, 2] jollifications 2.0 0.7746 [2, 3, 2, 2, 2, 2, 3, 2, 0, 2] jollify 2.1 0.53852 [2, 3, 2, 2, 2, 2, 2, 3, 1, 2] jollily 2.7 0.64031 [3, 3, 3, 3, 3, 3, 3, 1, 3, 2] jolliness 2.5 0.67082 [3, 1, 2, 3, 2, 3, 3, 3, 2, 3] jollities 1.7 0.64031 [2, 1, 2, 2, 1, 2, 2, 3, 1, 1] jollity 1.8 1.6 [3, 2, 1, 1, 4, 3, 1, 2, 3, -2] alegre 2.3 1.00499 [4, 3, 3, 1, 1, 1, 3, 2, 3, 2] feliç 2.3 1.00499 [4, 3, 3, 1, 1, 1, 3, 2, 3, 2] content 2.3 1.00499 [4, 3, 3, 1, 1, 1, 3, 2, 3, 2] contenta 2.3 1.00499 [4, 3, 3, 1, 1, 1, 3, 2, 3, 2] jollying 2.3 0.64031 [2, 3, 3, 1, 3, 3, 2, 2, 2, 2] jovial 1.9 0.53852 [2, 2, 1, 2, 1, 2, 3, 2, 2, 2] goig 2.8 0.74833 [3, 2, 3, 4, 3, 3, 3, 1, 3, 3] joyance 2.3 0.9 [1, 3, 4, 2, 2, 1, 2, 3, 2, 3] joyed 2.9 0.3 [3, 3, 3, 3, 3, 3, 3, 2, 3, 3] contenta 2.9 0.53852 [3, 2, 3, 3, 2, 3, 4, 3, 3, 3] joyfuller 2.4 0.66332 [2, 4, 3, 2, 2, 2, 3, 2, 2, 2] alegrement 2.5 0.67082 [2, 2, 3, 3, 2, 2, 3, 4, 2, 2] animadament 2.5 0.67082 [2, 2, 3, 3, 2, 2, 3, 4, 2, 2] felicitat 2.7 1.00499 [4, 3, 1, 3, 3, 3, 4, 2, 1, 3] joying 2.5 0.67082 [2, 2, 1, 3, 3, 3, 3, 3, 3, 2] trist -2.5 0.67082 [-1, -2, -3, -3, -3, -3, -2, -2, -3, -3] trista -2.5 0.67082 [-1, -2, -3, -3, -3, -3, -2, -2, -3, -3] joylessly -1.7 1.1 [-2, -2, -3, -3, -2, -1, 1, -2, -1, -2] joylessness -2.7 0.9 [-4, -3, -3, -3, -3, -3, -3, -1, -1, -3] feliç 3.1 0.7 [3, 4, 3, 2, 4, 3, 3, 4, 2, 3] joyously 2.9 0.7 [2, 3, 4, 3, 4, 2, 2, 3, 3, 3] joyousness 2.8 0.74833 [3, 3, 1, 3, 3, 3, 4, 2, 3, 3] fumeta -0.2 1.93907 [-3, 1, 2, 2, -3, -1, -2, -1, 1, 2] joypoppers -0.1 1.22066 [2, -1, 1, -1, -1, 1, 1, 0, -2, -1] joyridden 0.6 1.8 [-2, -1, 4, 0, 0, 2, 1, -1, 0, 3] joyride 1.1 1.22066 [-1, 1, 2, 0, 2, 0, 2, 2, 3, 0] joyrider 0.7 1.26886 [2, -2, 1, 2, 0, 2, -1, 1, 1, 1] joyriders 1.3 1.18743 [1, 0, 0, 1, 4, 3, 1, 1, 1, 1] joyrides 0.8 1.32665 [2, -2, 1, 2, 0, 2, -1, 1, 2, 1] joyriding 0.9 1.04403 [1, -1, 1, 1, 0, 2, 0, 1, 3, 1] joyrode 1.0 1.48324 [4, 0, -2, 0, 2, 1, 2, 1, 1, 1] joys 2.2 0.4 [2, 2, 2, 2, 2, 3, 2, 3, 2, 2] joystick 0.7 0.78102 [1, 0, 2, 2, 0, 0, 1, 1, 0, 0] joysticks 0.2 0.4 [0, 0, 0, 0, 1, 0, 0, 1, 0, 0] exultant 3.0 0.63246 [3, 3, 4, 3, 3, 2, 3, 4, 2, 3] jumpy -1.0 0.63246 [0, 0, -2, -1, -1, -1, -1, -1, -2, -1] justicia 2.4 1.0198 [3, 2, 1, 2, 3, 2, 4, 4, 2, 1] justifiably 1.0 0.7746 [0, 1, 0, 1, 1, 1, 0, 2, 2, 2] justificat 1.7 0.64031 [1, 2, 2, 3, 1, 1, 1, 2, 2, 2] aplicat 1.5 0.67082 [1, 1, 3, 1, 2, 1, 1, 2, 2, 1] aplicada 1.5 0.67082 [1, 1, 3, 1, 2, 1, 1, 2, 2, 1] entusiasta 1.5 0.67082 [1, 1, 3, 1, 2, 1, 1, 2, 2, 1] coneixement 0.3 1.00499 [-2, 0, 1, 0, 1, 1, 0, 2, 0, 0] comprensió 0.3 1.00499 [-2, 0, 1, 0, 1, 1, 0, 2, 0, 0] aplicat 0.5 1.20416 [-1, -1, 0, -1, 2, 1, 2, 2, 1, 0] aplicada 0.5 1.20416 [-1, -1, 0, -1, 2, 1, 2, 2, 1, 0] keeners 0.6 0.4899 [1, 0, 0, 1, 1, 0, 1, 1, 0, 1] keenest 1.9 0.83066 [3, 3, 1, 1, 3, 2, 2, 1, 2, 1] keening -0.7 1.41774 [0, -3, -1, -1, -3, 1, -1, 1, 1, -1] keenly 1.0 0.7746 [2, 1, 1, 0, 1, 0, 2, 1, 2, 0] keenness 1.4 0.4899 [1, 1, 2, 2, 1, 1, 1, 2, 2, 1] aplicats 0.1 1.22066 [1, -3, 0, 0, 0, 2, 1, 0, 0, 0] aplicades 0.1 1.22066 [1, -3, 0, 0, 0, 2, 1, 0, 0, 0] kewl 1.3 0.45826 [2, 1, 1, 1, 2, 1, 2, 1, 1, 1] fer broma 0.4 0.8 [0, 1, 0, -1, 1, 1, 1, 1, -1, 1] matar -3.7 0.45826 [-4, -4, -4, -4, -3, -4, -4, -4, -3, -3] massacrar -3.7 0.45826 [-4, -4, -4, -4, -3, -4, -4, -4, -3, -3] massacre -3.7 0.45826 [-4, -4, -4, -4, -3, -4, -4, -4, -3, -3] mata -3.7 0.45826 [-4, -4, -4, -4, -3, -4, -4, -4, -3, -3] killdeer -1.1 1.04403 [-3, 0, 0, -1, -2, 0, -1, -2, -2, 0] killdeers -0.1 0.3 [0, 0, 0, 0, 0, 0, 0, 0, 0, -1] killdees -0.6 0.66332 [-2, 0, 0, 0, -1, 0, -1, -1, -1, 0] assasinat -3.5 0.67082 [-3, -3, -2, -4, -4, -4, -3, -4, -4, -4] assasinada -3.5 0.67082 [-3, -3, -2, -4, -4, -4, -3, -4, -4, -4] assasi -3.3 0.64031 [-4, -4, -3, -3, -4, -4, -3, -3, -2, -3] assasina -3.3 0.64031 [-4, -4, -3, -3, -4, -4, -3, -3, -2, -3] assasins -3.3 0.45826 [-3, -3, -4, -3, -3, -3, -4, -3, -4, -3] assasines -3.3 0.45826 [-3, -3, -4, -3, -3, -3, -4, -3, -4, -3] killick 0.1 0.3 [0, 1, 0, 0, 0, 0, 0, 0, 0, 0] killie -0.1 0.3 [0, 0, 0, 0, 0, 0, 0, 0, 0, -1] killifish -0.1 0.7 [0, 0, 0, 0, -2, 0, 0, 0, 1, 0] killifishes -0.1 0.3 [0, -1, 0, 0, 0, 0, 0, 0, 0, 0] killing -3.4 1.2 [-4, 0, -4, -4, -4, -3, -4, -3, -4, -4] killingly -2.6 1.0198 [-3, -2, -4, -2, -1, -3, -4, -3, -3, -1] killings -3.5 0.67082 [-4, -3, -4, -4, -2, -3, -4, -4, -3, -4] killjoy -2.1 0.83066 [-1, -2, -3, -2, -1, -3, -2, -1, -3, -3] killjoys -1.7 0.9 [-1, -3, -3, -1, -2, -1, -2, 0, -2, -2] killock -0.3 0.64031 [0, 0, 0, 0, -2, 0, 0, 0, -1, 0] killocks -0.4 0.66332 [0, 0, 0, -2, -1, 0, -1, 0, 0, 0] assasinar -2.5 0.92195 [-2, -3, -2, -3, -4, -1, -3, -3, -1, -3] amable 2.4 0.66332 [2, 2, 3, 3, 2, 3, 3, 2, 1, 3] bo 2.4 0.66332 [2, 2, 3, 3, 2, 3, 3, 2, 1, 3] bona 2.4 0.66332 [2, 2, 3, 3, 2, 3, 3, 2, 1, 3] atent 2.2 0.6 [3, 3, 3, 2, 2, 2, 2, 1, 2, 2] atenta 2.2 0.6 [3, 3, 3, 2, 2, 2, 2, 1, 2, 2] amablement 2.2 0.4 [2, 2, 2, 3, 2, 2, 2, 2, 2, 3] kindness 2.0 0.63246 [2, 1, 3, 3, 2, 1, 2, 2, 2, 2] kindnesses 2.3 0.64031 [3, 1, 3, 2, 3, 2, 3, 2, 2, 2] petó 1.8 1.6 [4, 0, 3, 3, 2, 0, 4, 2, 0, 0] bes 1.8 1.6 [4, 0, 3, 3, 2, 0, 4, 2, 0, 0] bessada 1.8 1.6 [4, 0, 3, 3, 2, 0, 4, 2, 0, 0] kissable 2.0 0.89443 [2, 2, 2, 2, 4, 2, 3, 1, 1, 1] kissably 1.9 1.04403 [1, 3, 4, 1, 2, 1, 3, 2, 1, 1] kissed 1.6 1.11355 [2, 4, 1, 1, 1, 2, 3, 0, 1, 1] kisser 1.7 1.34536 [2, 4, 1, 2, -1, 2, 3, 0, 2, 2] kissers 1.5 0.80623 [1, 1, 1, 0, 2, 2, 3, 2, 1, 2] kisses 2.3 0.9 [2, 4, 2, 2, 1, 2, 4, 2, 2, 2] kissing 2.7 0.78102 [3, 3, 4, 1, 3, 2, 2, 3, 3, 3] kissy 1.8 0.6 [2, 2, 2, 3, 1, 1, 2, 2, 1, 2] prestigi 2.3 0.64031 [2, 4, 2, 3, 2, 2, 2, 2, 2, 2] renom 2.3 0.64031 [2, 4, 2, 3, 2, 2, 2, 2, 2, 2] escassesa -1.3 0.45826 [-1, -1, -1, -1, -2, -1, -2, -1, -1, -2] manca -1.3 0.45826 [-1, -1, -1, -1, -2, -1, -2, -1, -1, -2] lackadaisical -1.6 0.66332 [-1, -1, -2, -1, -2, -2, -3, -1, -2, -1] lag -1.4 0.66332 [-1, -1, -1, -1, -1, -3, -1, -2, -2, -1] lagged -1.2 0.6 [-2, -2, -1, -2, -1, -1, 0, -1, -1, -1] lagging -1.1 0.83066 [-2, -2, -2, -1, 0, 0, -1, 0, -1, -2] lags -1.5 0.67082 [-2, -1, -1, -2, -1, -3, -1, -2, -1, -1] laidback 0.5 1.28452 [1, -1, 1, -2, -1, 1, 2, 1, 1, 2] lame -1.8 0.74833 [-1, -3, -1, -2, -2, -1, -2, -3, -1, -2] lamebrain -1.6 0.91652 [-3, -2, -1, 0, -3, -1, -1, -2, -2, -1] lamebrained -2.5 0.67082 [-3, -3, -2, -2, -2, -2, -4, -3, -2, -2] lamebrains -1.2 1.46969 [-2, -1, -3, -1, 2, -2, 1, -2, -2, -2] lamedh 0.1 0.53852 [0, 0, 0, 0, 0, 1, 1, -1, 0, 0] lamella -0.1 0.3 [0, -1, 0, 0, 0, 0, 0, 0, 0, 0] lamellae -0.1 0.3 [0, 0, 0, 0, 0, 0, -1, 0, 0, 0] lamellas 0.1 0.53852 [0, 0, 0, 0, 0, 1, 0, 1, 0, -1] lamellibranch 0.2 0.4 [0, 0, 0, 0, 0, 1, 0, 1, 0, 0] lamellibranchs -0.1 0.3 [0, 0, -1, 0, 0, 0, 0, 0, 0, 0] lamely -2.0 0.89443 [-2, -3, 0, -1, -2, -3, -2, -3, -2, -2] lameness -0.8 1.07703 [-2, -2, -1, -1, -1, 0, 2, -1, -1, -1] lament -2.0 1.26491 [-3, -3, 1, -1, -2, -2, -1, -3, -3, -3] lamentable -1.5 1.0247 [-2, 0, -2, -1, 0, -2, -3, -1, -1, -3] lamentableness -1.3 0.64031 [-2, -1, -1, 0, -2, -1, -1, -1, -2, -2] lamentablement -1.5 0.80623 [-2, 0, -3, -1, -1, -2, -2, -1, -1, -2] lamentation -1.4 1.49666 [-3, -2, 0, -3, -1, -1, 2, -2, -1, -3] lamentations -1.9 1.44568 [-2, -2, -2, -3, 2, -1, -3, -3, -2, -3] lamented -1.4 0.91652 [-1, 0, -1, -2, -2, -1, -2, -3, -2, 0] lamenter -1.2 0.87178 [-1, 0, -1, -1, -1, -1, -2, -3, -2, 0] lamenters -0.5 0.67082 [-1, 0, 0, -1, -1, 0, 0, 0, -2, 0] lamenting -2.0 1.09545 [0, -2, -1, -4, -1, -3, -2, -2, -3, -2] laments -1.5 0.80623 [-1, -3, 0, -1, -2, -1, -2, -2, -2, -1] lamer -1.4 0.4899 [-2, -1, -1, -2, -1, -1, -1, -2, -2, -1] lames -1.2 0.6 [-2, -1, -1, -2, 0, -1, -1, -2, -1, -1] lamest -1.5 1.28452 [-3, -2, -1, -4, 1, -1, -1, -1, -1, -2] landmark 0.3 0.64031 [2, 0, 0, 0, 0, 0, 0, 0, 1, 0] rialla 2.6 0.66332 [3, 2, 3, 1, 3, 3, 3, 3, 2, 3] risa 2.6 0.66332 [3, 2, 3, 1, 3, 3, 3, 3, 2, 3] laughable 0.2 1.72047 [-2, -1, 3, -1, 2, 2, -1, -1, -1, 2] laughableness 1.2 1.6 [2, 0, 3, 2, 2, 1, 3, -2, 2, -1] laughably 1.2 1.249 [2, 1, 2, 1, 1, 1, 2, 3, -2, 1] laughed 2.0 0.63246 [2, 2, 3, 1, 2, 1, 2, 2, 3, 2] laugher 1.7 0.45826 [2, 2, 1, 1, 2, 1, 2, 2, 2, 2] laughers 1.7 0.9 [1, 2, 4, 1, 2, 1, 2, 1, 1, 2] laughing 2.2 0.87178 [2, 4, 1, 1, 3, 2, 2, 2, 2, 3] laughingly 2.3 1.1 [2, 4, 0, 2, 3, 1, 3, 2, 3, 3] laughings 1.9 0.7 [2, 1, 1, 1, 2, 3, 2, 2, 3, 2] laughingstocks -1.3 1.26886 [-3, -2, 1, -2, -1, -1, 1, -2, -2, -2] laughs 2.2 0.6 [1, 2, 2, 3, 3, 2, 3, 2, 2, 2] laughter 2.2 0.6 [2, 3, 2, 2, 2, 2, 3, 1, 3, 2] laughters 2.2 0.6 [3, 1, 2, 2, 2, 3, 3, 2, 2, 2] launched 0.5 0.80623 [2, 0, 0, 0, 0, 0, 0, 1, 2, 0] lawl 1.4 1.42829 [0, 2, 2, 1, 3, -2, 3, 1, 2, 2] lawsuit -0.9 1.22066 [-2, -2, -1, -3, -1, 1, 0, 1, -1, -1] demandes -0.6 1.68523 [-2, -1, 0, 3, 2, -1, -1, -2, -2, -2] pleit -0.6 1.68523 [-2, -1, 0, 3, 2, -1, -1, -2, -2, -2] lazier -2.3 0.64031 [-3, -2, -3, -2, -1, -2, -2, -3, -2, -3] laziest -2.7 0.64031 [-2, -2, -3, -4, -3, -3, -2, -2, -3, -3] mandros -1.5 1.36015 [-3, -1, -3, -2, 2, -1, -1, -2, -2, -2] filtració -1.4 0.66332 [-1, -2, -1, -1, -1, -1, -1, -2, -3, -1] fuita -1.4 0.66332 [-1, -2, -1, -1, -1, -1, -1, -2, -3, -1] leaked -1.3 0.78102 [-2, -2, -1, -3, -1, 0, -1, -1, -1, -1] leave -0.2 0.9798 [1, -1, -1, 0, 0, -1, 2, -1, 0, -1] leet 1.3 1.48661 [2, 4, 2, 2, 0, 1, -2, 2, 1, 1] legal 0.5 0.80623 [0, 0, 0, 2, 0, 1, 0, 0, 2, 0] legally 0.4 0.8 [1, 0, 0, 0, 1, 0, 2, 1, 0, -1] lenient 1.1 1.04403 [1, 3, 1, 2, 1, 1, 2, -1, 0, 1] lethargic -1.2 0.74833 [-2, -1, -2, -2, 0, -1, -1, -2, 0, -1] lethargy -1.4 0.91652 [-1, 0, -2, -1, -2, 0, -2, -1, -3, -2] liabilities -0.8 0.9798 [-1, 2, -1, -1, -1, -1, -1, -1, -2, -1] liability -0.8 1.83303 [-2, -3, -1, -1, 3, -3, -1, -1, 2, -1] mentider -2.3 0.78102 [-1, -2, -3, -3, -2, -2, -3, -1, -3, -3] liards -0.4 0.91652 [-2, 0, -1, 0, 0, 1, 0, 0, -2, 0] liars -2.4 0.66332 [-3, -2, -2, -3, -2, -1, -3, -3, -2, -3] libelous -2.1 1.3 [-3, -1, -1, -2, 1, -3, -3, -3, -3, -3] libertarian 0.9 0.9434 [1, 2, 0, 1, 0, 0, 0, 3, 1, 1] libertarianism 0.4 0.8 [0, 0, 2, 0, 2, 0, 0, 0, 0, 0] libertarianisms 0.1 1.13578 [0, 0, 0, 2, 2, 0, -2, 0, -1, 0] libertarians 0.1 0.83066 [0, 0, 1, 0, 0, -1, -1, 0, 2, 0] liberties 2.3 0.78102 [2, 4, 3, 2, 2, 1, 2, 3, 2, 2] libertinage 0.2 1.53623 [-1, -1, 0, 0, 4, 0, -2, 1, 1, 0] libertine -0.9 1.44568 [0, -1, 0, 0, -1, -3, 2, -2, -1, -3] libertines 0.4 1.35647 [-1, 3, -1, -1, 1, 1, 1, 2, 0, -1] libertinisms 1.2 1.249 [0, 0, 3, 1, 1, 1, 4, 0, 1, 1] llibertat 2.4 0.91652 [2, 2, 3, 3, 3, 3, 2, 4, 1, 1] lied -1.6 1.2 [-3, 0, -3, 1, -2, -1, -2, -2, -2, -2] lies -1.8 0.9798 [-1, -1, -1, 0, -2, -3, -3, -2, -3, -2] lifesaver 2.8 0.74833 [3, 3, 4, 2, 3, 1, 3, 3, 3, 3] lighthearted 1.8 0.4 [2, 2, 2, 2, 1, 2, 2, 1, 2, 2] agradar 1.5 0.67082 [1, 2, 2, 2, 1, 3, 1, 1, 1, 1] likeable 2.0 0.63246 [1, 3, 2, 2, 2, 3, 2, 1, 2, 2] liked 1.8 0.6 [2, 2, 1, 2, 2, 1, 3, 1, 2, 2] likes 1.8 0.6 [2, 2, 1, 2, 2, 2, 3, 1, 1, 2] liking 1.7 0.78102 [3, 1, 2, 1, 1, 2, 3, 1, 2, 1] limitation -1.2 0.6 [-2, -1, 0, -1, -1, -2, -1, -2, -1, -1] limitat -0.9 0.53852 [-1, -1, 0, -2, -1, 0, -1, -1, -1, -1] litigation -0.8 0.6 [0, -2, -1, 0, -1, -1, -1, -1, 0, -1] litigious -0.8 0.9798 [-2, -1, 0, -2, 0, -2, 1, -1, 0, -1] livelier 1.7 0.78102 [2, 2, 1, 3, 1, 3, 2, 1, 1, 1] liveliest 2.1 0.9434 [2, 1, 2, 3, 1, 1, 2, 4, 3, 2] livelihood 0.8 1.07703 [0, 3, 1, 0, 2, 2, 0, 0, 0, 0] livelihoods 0.9 1.13578 [0, 0, 0, 3, 2, 2, 0, 2, 0, 0] livelily 1.8 0.6 [2, 2, 2, 3, 1, 2, 1, 2, 2, 1] liveliness 1.6 0.8 [1, 3, 0, 2, 2, 2, 2, 2, 1, 1] livelong 1.7 0.78102 [3, 0, 1, 1, 2, 2, 2, 2, 2, 2] lively 1.9 0.7 [2, 2, 3, 1, 1, 2, 3, 1, 2, 2] livid -2.5 0.92195 [-2, -3, -1, -2, -4, -3, -1, -3, -3, -3] lmao 2.9 0.9434 [3, 4, 3, 1, 2, 4, 3, 3, 2, 4] loathe -2.2 2.08806 [-1, -4, -3, -2, -4, 2, 1, -3, -4, -4] loathed -2.1 1.44568 [-4, -3, -3, -3, -1, 1, -1, -1, -3, -3] loathes -1.9 1.13578 [-1, -4, -1, -3, -3, -1, -1, -3, -1, -1] loathing -2.7 0.78102 [-3, -3, -3, -1, -4, -2, -3, -3, -2, -3] lobby 0.1 0.53852 [0, 0, 0, 1, 0, 1, 0, -1, 0, 0] lobbying -0.3 0.45826 [0, -1, 0, 0, 0, 0, 0, -1, -1, 0] lol 1.8 1.46969 [1, 3, 4, 1, 2, 4, 1, 2, -1, 1] lone -1.1 0.3 [-1, -1, -1, -1, -1, -1, -2, -1, -1, -1] lonelier -1.4 0.66332 [-2, -1, -2, -2, 0, -2, -1, -1, -1, -2] loneliest -2.4 0.8 [-3, -1, -2, -4, -2, -2, -3, -3, -2, -2] loneliness -1.8 0.6 [-2, -2, -1, -3, -2, -2, -1, -2, -1, -2] lonelinesses -1.5 1.36015 [-2, -2, -1, -1, 2, -1, -3, -2, -3, -2] lonely -1.5 0.5 [-1, -2, -2, -1, -1, -1, -1, -2, -2, -2] loneness -1.1 0.83066 [-1, -2, -1, -2, -1, -1, -2, 1, -1, -1] loner -1.3 0.45826 [-1, -2, -1, -1, -1, -1, -1, -2, -2, -1] loners -0.9 0.53852 [-1, -1, -2, -1, -1, -1, 0, 0, -1, -1] solitari -1.5 0.67082 [-2, -1, -2, -1, -2, -1, -2, 0, -2, -2] lonesomely -1.3 1.00499 [-2, -2, -2, -2, -1, -2, 0, -2, -1, 1] lonesomeness -1.8 0.6 [-2, -2, -1, -3, -1, -2, -2, -2, -1, -2] lonesomes -1.4 0.4899 [-2, -1, -1, -1, -1, -1, -2, -2, -2, -1] longing -0.1 0.9434 [0, -1, 0, -1, -1, 0, 2, -1, 1, 0] longingly 0.7 0.45826 [1, 0, 1, 0, 1, 1, 1, 0, 1, 1] longings 0.4 1.2 [2, 0, -1, -1, 0, 1, 3, 0, 0, 0] loom -0.9 0.53852 [-1, -1, -1, -1, -1, -2, 0, -1, -1, 0] loomed -1.1 1.04403 [-2, -2, -1, -1, -1, -1, 0, -1, -3, 1] looming -0.5 1.5 [-2, -1, -1, 0, -2, -2, 3, -1, 0, 1] looms -0.6 1.0198 [-1, -2, -1, -1, 0, 0, 1, -2, 1, -1] loose -1.3 1.18743 [-2, -1, 0, -2, 0, -1, 0, -2, -4, -1] looses -0.6 0.91652 [0, -1, 0, -1, 0, 0, 0, 0, -3, -1] lose -1.7 0.45826 [-1, -2, -1, -2, -1, -2, -2, -2, -2, -2] perdedor -2.4 0.66332 [-3, -2, -2, -2, -2, -3, -3, -1, -3, -3] losers -2.4 0.8 [-3, -1, -2, -2, -4, -2, -3, -3, -2, -2] loses -1.3 1.00499 [0, -1, -1, -1, -1, -4, -1, -1, -2, -1] losing -1.6 0.8 [-1, -1, -1, -2, -1, -2, -3, -3, -1, -1] loss -1.3 0.45826 [-1, -2, -1, -1, -1, -2, -2, -1, -1, -1] losses -1.7 0.9 [-2, -1, -2, -3, 0, -1, -3, -1, -2, -2] lossy -1.2 0.87178 [-2, -2, -1, -2, 0, 0, 0, -1, -2, -2] perdut -1.3 0.45826 [-1, -1, -2, -1, -1, -2, -2, -1, -1, -1] perduda -1.3 0.45826 [-1, -1, -2, -1, -1, -2, -2, -1, -1, -1] louse -1.6 1.2 [-1, -1, -3, -4, 0, -3, -1, -1, -1, -1] loused -1.0 0.7746 [-1, -1, -1, -1, 0, 0, -2, 0, -2, -2] louses -1.3 0.78102 [-2, -1, -2, -1, -1, 0, -2, 0, -2, -2] lousewort 0.1 1.3 [-2, -2, 1, 0, 0, 0, 0, 2, 2, 0] louseworts -0.6 0.66332 [0, 0, 0, -2, 0, -1, 0, -1, -1, -1] lousier -2.2 0.4 [-2, -3, -2, -2, -3, -2, -2, -2, -2, -2] lousiest -2.6 0.8 [-4, -2, -3, -3, -1, -2, -3, -3, -2, -3] lousily -1.2 0.9798 [-1, -1, -2, -2, -2, -2, 0, -1, 1, -2] lousiness -1.7 0.64031 [-2, -2, -1, -1, -2, -2, -3, -2, -1, -1] lousing -1.1 0.9434 [-3, 0, 0, 0, -1, -2, -1, -2, -1, -1] lousy -2.5 0.67082 [-2, -4, -2, -3, -2, -3, -2, -2, -3, -2] lovable 3.0 0.63246 [3, 3, 3, 4, 3, 2, 3, 3, 2, 4] estima 3.2 0.4 [3, 3, 3, 3, 3, 3, 3, 4, 4, 3] amor 3.2 0.4 [3, 3, 3, 3, 3, 3, 3, 4, 4, 3] estimat 2.9 0.7 [3, 3, 4, 2, 2, 4, 3, 2, 3, 3] estimada 2.9 0.7 [3, 3, 4, 2, 2, 4, 3, 2, 3, 3] lovelies 2.2 0.74833 [3, 3, 3, 1, 2, 2, 3, 2, 1, 2] lovely 2.8 0.6 [2, 3, 3, 3, 2, 3, 4, 3, 2, 3] lover 2.8 0.87178 [3, 1, 2, 3, 4, 3, 2, 3, 4, 3] loverly 2.8 0.74833 [3, 2, 4, 3, 3, 2, 3, 2, 2, 4] amants 2.4 1.11355 [2, 3, 2, 4, 4, 1, 1, 3, 3, 1] estima 2.7 0.9 [3, 3, 3, 2, 2, 4, 4, 2, 1, 3] estime 2.7 0.9 [3, 3, 3, 2, 2, 4, 4, 2, 1, 3] loving 2.9 0.53852 [3, 2, 3, 3, 3, 2, 4, 3, 3, 3] lovingly 3.2 0.6 [3, 3, 3, 4, 4, 4, 2, 3, 3, 3] lovingness 2.7 1.67631 [4, 4, 3, 3, 2, 3, -2, 4, 3, 3] baix -1.1 0.53852 [-1, -1, -1, -1, -1, -2, -1, -2, 0, -1] poc -1.1 0.53852 [-1, -1, -1, -1, -1, -2, -1, -2, 0, -1] lowball -0.8 0.87178 [-1, -2, 0, -2, -1, -1, 0, 1, -1, -1] lowballed -1.5 0.67082 [-2, 0, -1, -1, -2, -2, -1, -2, -2, -2] lowballing -0.7 0.78102 [-2, -1, -1, 1, 0, -1, -1, 0, -1, -1] lowballs -1.2 0.74833 [-1, -1, -1, -1, -3, -1, -2, 0, -1, -1] lowborn -0.7 1.1 [-1, 0, -1, 0, -2, -1, -2, -1, -1, 2] lowboys -0.6 1.0198 [-1, 0, 0, 0, -3, -1, 1, 0, -1, -1] lowbred -2.6 1.0198 [-2, -1, -2, -4, -2, -2, -4, -4, -3, -2] lowbrow -1.9 0.7 [-1, -3, -1, -2, -2, -2, -1, -3, -2, -2] lowbrows -0.6 0.66332 [0, 0, -1, 0, -2, -1, -1, 0, 0, -1] lowdown -0.8 0.9798 [-1, -1, 0, 0, 0, -2, -3, 0, -1, 0] lowdowns -0.2 0.4 [0, 0, 0, -1, 0, 0, 0, 0, -1, 0] lowe 0.5 0.80623 [0, 0, 0, 0, 0, 1, 0, 0, 2, 2] lowed -0.8 0.6 [0, -1, -1, -2, -1, 0, -1, 0, -1, -1] inferior -1.2 0.87178 [0, -2, -1, -1, -2, 0, -2, 0, -2, -2] minuscul 0.3 0.45826 [0, 0, 0, 0, 1, 0, 1, 0, 1, 0] lowercased -0.2 0.4 [0, -1, 0, 0, 0, 0, -1, 0, 0, 0] lowerclassman -0.4 0.4899 [0, -1, -1, -1, 0, 0, 0, 0, 0, -1] lowered -0.5 1.11803 [-1, -1, -2, -1, -1, 2, -1, -1, 1, 0] lowering -1.0 0.7746 [0, -1, -1, -1, -1, 0, -3, -1, -1, -1] lowermost -1.4 1.11355 [-1, -1, -3, -1, -1, -1, -2, -3, 1, -2] lowers -0.5 0.5 [-1, -1, 0, -1, 0, 0, 0, -1, -1, 0] lowery -1.8 0.87178 [-1, -1, -2, -3, -1, -2, -3, -3, -1, -1] lowest -1.6 0.4899 [-2, -2, -2, -2, -1, -2, -1, -1, -1, -2] lowing -0.5 0.67082 [0, 0, 0, -1, 0, 0, -1, -2, -1, 0] lowish -0.9 0.53852 [-2, -1, -1, 0, -1, 0, -1, -1, -1, -1] lowland -0.1 0.3 [0, 0, -1, 0, 0, 0, 0, 0, 0, 0] lowlander -0.4 0.66332 [0, 0, 0, 0, 0, 0, -1, -1, -2, 0] lowlanders -0.3 0.64031 [0, 0, 0, -2, 0, -1, 0, 0, 0, 0] lowlands -0.1 0.7 [0, -1, -1, 0, -1, 1, 0, 1, 0, 0] lowlier -1.7 0.78102 [-2, -2, -2, -3, -1, -2, -2, -1, 0, -2] lowliest -1.8 1.6 [-1, -3, -3, -4, -2, -1, -1, 0, 1, -4] lowlife -1.5 0.67082 [-2, -2, -2, -1, -1, -2, -1, 0, -2, -2] lowlifes -2.2 1.249 [-3, -2, -3, -4, -2, 1, -2, -3, -2, -2] lowlight -2.0 1.26491 [-3, -2, -1, -3, 1, -2, -1, -3, -3, -3] lowlights -0.3 0.78102 [0, 0, -1, 1, -2, -1, 0, 0, 0, 0] lowlihead -0.3 1.34536 [-1, -1, 1, -3, 0, 0, 1, -1, 2, -1] lowliness -1.1 0.53852 [-1, -2, -1, -2, -1, -1, -1, 0, -1, -1] lowlinesses -1.2 1.07703 [-3, -1, -2, -2, 0, -1, -1, -1, -2, 1] lowlives -2.1 0.7 [-2, -3, -3, -2, -1, -2, -3, -2, -1, -2] lowly -1.0 1.34164 [-1, -2, -1, -2, 2, -2, -1, 1, -2, -2] lown 0.9 1.13578 [2, 2, 1, -1, 0, 1, 2, -1, 1, 2] lowness -1.3 0.45826 [-1, -2, -2, -1, -1, -2, -1, -1, -1, -1] lowrider -0.2 0.4 [0, 0, 0, -1, -1, 0, 0, 0, 0, 0] lowriders 0.1 0.53852 [0, 0, 0, 0, 1, 0, -1, 0, 1, 0] lows -0.8 0.9798 [0, -1, -1, -1, 0, 1, -3, -1, -1, -1] lowse -0.7 0.78102 [0, -1, 1, -1, -1, -1, 0, -1, -2, -1] lleial 2.1 0.7 [3, 2, 1, 1, 2, 2, 3, 2, 3, 2] loyalism 1.0 0.89443 [1, 2, 1, -1, 0, 1, 2, 1, 1, 2] loyalisms 0.9 0.83066 [2, 0, 0, 1, 1, 0, 2, 2, 1, 0] loyalist 1.5 0.92195 [1, 0, 2, 2, 3, 0, 2, 2, 1, 2] loyalists 1.1 0.83066 [1, 1, 1, 3, 0, 2, 1, 0, 1, 1] lleialtat 2.1 0.7 [3, 2, 2, 2, 1, 3, 1, 2, 3, 2] loyalties 1.9 0.7 [3, 1, 2, 2, 2, 3, 2, 1, 1, 2] loyalty 2.5 0.67082 [1, 3, 3, 3, 3, 2, 2, 2, 3, 3] sort 2.0 0.63246 [2, 2, 1, 3, 3, 2, 1, 2, 2, 2] lucked 1.9 0.7 [2, 2, 2, 1, 1, 2, 3, 3, 1, 2] luckie 1.6 0.66332 [1, 1, 1, 2, 2, 1, 1, 2, 2, 3] luckier 1.9 0.7 [1, 3, 1, 2, 2, 1, 2, 3, 2, 2] luckiest 2.9 0.7 [3, 3, 4, 2, 2, 4, 3, 3, 2, 3] luckily 2.3 0.45826 [2, 2, 3, 2, 2, 3, 2, 2, 2, 3] luckiness 1.0 1.61245 [2, 2, 1, -2, 3, 1, 1, 2, 2, -2] lucking 1.2 0.6 [2, 1, 1, 0, 1, 1, 1, 2, 2, 1] luckless -1.3 0.45826 [-2, -1, -2, -1, -1, -1, -2, -1, -1, -1] lucks 1.6 0.91652 [0, 3, 1, 1, 3, 2, 2, 1, 2, 1] lucky 1.8 0.74833 [2, 1, 1, 1, 3, 2, 1, 2, 2, 3] ludicrous -1.5 1.36015 [2, -2, -2, -1, -1, -1, -3, -3, -2, -2] ludicrously -0.2 1.83303 [3, -1, 0, -2, -1, 0, 3, -3, -1, 0] ludicrousness -1.9 1.57797 [-1, 2, -2, -3, -2, -2, -3, -4, -1, -3] lugubrious -2.1 1.37477 [-3, -2, -3, -3, -3, 1, -2, -3, 0, -3] lulz 2.0 1.0 [2, 2, 2, 3, 4, 1, 3, 1, 1, 1] lunatic -2.2 1.32665 [-2, -3, -4, -2, -3, -2, -1, -3, 1, -3] lunatics -1.6 1.95959 [-4, -2, -3, -4, -2, 2, -1, -3, 1, 0] lurk -0.8 0.87178 [-1, -1, 0, -3, -1, 0, -1, 0, -1, 0] lurking -0.5 1.11803 [1, -1, -1, 0, -1, -2, 1, -2, 1, -1] lurks -0.9 1.04403 [-1, -1, -1, -2, -2, -1, -1, -1, 2, -1] lying -2.4 0.8 [-2, -4, -3, -1, -2, -2, -3, -2, -2, -3] foll -2.2 0.74833 [-3, -3, -1, -1, -2, -3, -2, -2, -3, -2] maddening -2.2 0.74833 [-3, -3, -1, -1, -3, -2, -2, -3, -2, -2] madder -1.2 1.16619 [-2, 0, -3, 0, 0, -1, -3, -1, -2, 0] maddest -2.8 1.16619 [-4, -4, -4, -4, -1, -3, -2, -1, -2, -3] madly -1.7 1.1 [-2, 0, -2, -2, -2, -1, -4, -2, 0, -2] locura -1.9 0.53852 [-1, -2, -1, -3, -2, -2, -2, -2, -2, -2] magnific 2.3 1.1 [2, 2, 0, 2, 4, 4, 2, 2, 3, 2] magnifical 2.4 1.28062 [1, 4, 1, 2, 4, 3, 1, 1, 4, 3] magnifically 2.4 1.2 [3, 3, 3, 2, 4, 0, 1, 2, 2, 4] magnification 1.0 0.89443 [2, 3, 1, 0, 0, 1, 1, 1, 0, 1] magnifications 1.2 1.249 [-1, 0, 0, 2, 2, 2, 0, 2, 3, 2] magnificence 2.4 1.0198 [3, 2, 1, 3, 2, 1, 4, 4, 2, 2] magnificences 2.3 0.9 [3, 4, 3, 1, 3, 2, 1, 2, 2, 2] magnificent 2.9 0.7 [2, 4, 2, 4, 3, 3, 3, 3, 2, 3] magnificently 3.4 0.66332 [3, 3, 3, 4, 4, 2, 4, 4, 3, 4] magnifico 1.8 0.87178 [2, 1, 1, 2, 1, 1, 3, 3, 3, 1] magnificoes 1.4 0.8 [2, 2, 0, 2, 1, 1, 3, 1, 1, 1] mandatory 0.3 0.9 [1, 0, -1, 0, -1, 0, 1, 2, 0, 1] maniac -2.1 0.7 [-1, -2, -2, -2, -3, -3, -1, -2, -2, -3] maniacal -0.3 1.73494 [2, -1, -3, -3, 0, 2, -1, 1, 1, -1] maniacally -1.7 0.78102 [-1, -2, -1, -2, -3, -2, -1, -3, -1, -1] maniacs -1.2 1.8868 [-3, 1, -2, 1, -3, -2, 0, 2, -3, -3] manipulated -1.6 0.4899 [-2, -1, -1, -2, -1, -2, -2, -1, -2, -2] manipulating -1.5 0.80623 [-1, -1, -1, -2, -2, -1, -2, -2, -3, 0] manipulacio -1.2 1.72047 [2, -3, -2, -3, -1, -1, -2, 2, -2, -2] meravella 1.8 0.6 [2, 1, 1, 2, 1, 2, 3, 2, 2, 2] meravellos 2.9 0.7 [2, 2, 3, 2, 3, 3, 4, 3, 4, 3] meravelles 2.0 0.89443 [3, 1, 1, 3, 1, 2, 1, 2, 3, 3] masoquisme -1.6 1.11355 [-1, 0, -2, -2, -2, -2, 0, -4, -1, -2] masochisms -1.1 1.57797 [3, -3, -2, -2, -1, -1, -2, -1, 0, -2] masoquista -1.7 0.9 [-1, 0, -3, -1, -2, -2, -2, -2, -1, -3] masochistic -2.2 1.16619 [-1, -1, -1, -2, -3, -2, -4, -3, -4, -1] masochistically -1.6 1.35647 [-1, -1, -3, -3, -3, -3, 0, -2, 1, -1] masochists -1.2 1.07703 [1, -2, 0, -2, -3, -1, -2, -1, -1, -1] masterpiece 3.1 0.83066 [3, 4, 4, 4, 2, 2, 2, 4, 3, 3] masterpieces 2.5 0.67082 [2, 2, 3, 2, 2, 2, 4, 3, 3, 2] matter 0.1 0.3 [0, 0, 0, 0, 0, 0, 0, 1, 0, 0] matters 0.1 0.3 [0, 0, 0, 0, 1, 0, 0, 0, 0, 0] madur 1.8 0.4 [2, 2, 2, 2, 2, 1, 2, 2, 1, 2] meaningful 1.3 0.9 [0, 0, 2, 1, 1, 3, 1, 2, 2, 1] meaningless -1.9 0.7 [-1, -2, -2, -2, -1, -1, -2, -3, -3, -2] medalla 2.1 1.22066 [2, 4, 3, 1, 0, 2, 2, 2, 1, 4] mediocritat -0.3 1.1 [-1, 0, -2, 0, -1, 2, -1, -1, 0, 1] meditative 1.4 0.66332 [2, 0, 1, 2, 2, 1, 2, 1, 2, 1] meh -0.3 0.78102 [-1, 0, -1, 0, -1, -1, 1, 0, 1, -1] meck -0.3 0.78102 [-1, 0, -1, 0, -1, -1, 1, 0, 1, -1] melancolia -0.5 1.28452 [0, -2, -2, 0, 1, -1, 2, -2, 0, -1] melancholiac -2.0 0.63246 [-2, -2, -3, -2, -2, -3, -1, -1, -2, -2] melancholias -1.6 0.8 [-1, -2, -3, -2, 0, -2, -1, -1, -2, -2] melancholic -0.3 1.18743 [0, 2, -2, 0, 1, -1, 0, -2, 0, -1] melancholics -1.0 1.0 [0, -1, -3, 1, -1, -2, -1, -1, -1, -1] melancholies -1.1 0.83066 [-1, 0, -1, 0, -3, -1, -2, -1, -1, -1] melancholy -1.9 1.13578 [-3, -2, -3, -2, -3, -2, -2, 1, -1, -2] amenaça -2.2 0.87178 [-3, -3, -2, -1, -1, -2, -3, -1, -3, -3] menaced -1.7 1.48661 [-3, -2, -2, -3, -3, -1, 1, -3, 1, -2] indulgencia 1.5 0.67082 [1, 2, 1, 1, 1, 3, 2, 2, 1, 1] misericordia 1.5 0.67082 [1, 2, 1, 1, 1, 3, 2, 2, 1, 1] merit 1.8 0.74833 [2, 2, 2, 2, 0, 2, 3, 2, 2, 1] merited 1.4 0.4899 [1, 2, 2, 1, 1, 1, 2, 1, 2, 1] meriting 1.1 1.13578 [1, 2, 1, -2, 1, 1, 2, 2, 1, 2] meritocracy 0.6 1.35647 [2, 4, 0, 0, 1, -1, 0, 0, 0, 0] meritocrat 0.4 0.8 [0, 0, 0, 1, -1, 0, 0, 1, 2, 1] meritocrats 1.1 1.13578 [2, 1, 1, 0, 0, 1, 1, 4, 0, 1] meritorious 2.1 0.53852 [3, 2, 2, 2, 2, 2, 2, 2, 3, 1] meritoriously 1.3 1.95192 [3, -1, 3, -2, 2, 0, -1, 3, 3, 3] meritoriousness 1.7 1.18743 [4, 1, 2, 1, 2, 0, 3, 2, 2, 0] merits 1.7 0.78102 [1, 3, 1, 1, 2, 2, 1, 1, 3, 2] merrier 1.7 1.41774 [3, 2, 2, 3, 2, 2, -1, -1, 3, 2] merriest 2.7 1.41774 [3, 4, 4, 4, 2, 3, -1, 2, 3, 3] merrily 2.4 0.66332 [3, 3, 2, 2, 2, 3, 2, 3, 1, 3] merriment 2.4 1.35647 [1, 3, 3, 4, 2, -1, 3, 3, 3, 3] merriments 2.0 0.89443 [2, 2, 3, 3, 0, 2, 2, 1, 2, 3] merriness 2.2 0.74833 [2, 1, 2, 3, 2, 2, 3, 3, 1, 3] alegre 2.5 0.80623 [2, 4, 2, 2, 3, 3, 3, 3, 2, 1] feliç 2.5 0.80623 [2, 4, 2, 2, 3, 3, 3, 3, 2, 1] merrymaker 2.2 1.4 [3, 1, 3, 3, 3, -1, 2, 1, 3, 4] merrymakers 1.7 1.34536 [1, 4, 1, 3, 1, 3, -1, 2, 1, 2] merrymaking 2.2 0.6 [3, 2, 2, 2, 2, 1, 3, 3, 2, 2] merrymakings 2.4 1.11355 [3, 3, 2, 3, 4, 2, 0, 3, 1, 3] merrythought 1.1 0.9434 [1, 1, 3, 0, 2, 0, 0, 1, 2, 1] merrythoughts 1.6 1.11355 [1, 3, 2, 1, 2, 1, 0, 3, 3, 0] embolic -1.5 0.92195 [-1, -3, -1, -1, -3, -1, -2, -1, 0, -2] desordre -1.5 0.92195 [-1, -3, -1, -1, -3, -1, -2, -1, 0, -2] messed -1.4 0.8 [-2, -1, -1, -3, 0, -2, -2, -1, -1, -1] messy -1.5 0.80623 [-1, -2, -2, -2, -1, -1, -2, 0, -1, -3] methodical 0.6 0.8 [0, 0, 0, 2, 2, 0, 1, 1, 0, 0] mindless -1.9 0.7 [-2, -1, -2, -1, -1, -2, -3, -3, -2, -2] miracle 2.8 0.87178 [4, 4, 3, 2, 3, 4, 2, 2, 2, 2] mirth 2.6 0.66332 [3, 3, 3, 2, 3, 3, 3, 2, 1, 3] mirthful 2.7 0.45826 [3, 3, 3, 2, 3, 3, 3, 2, 3, 2] mirthfully 2.0 1.48324 [2, 3, 4, 3, 0, -1, 2, 1, 3, 3] misbehave -1.9 0.7 [-3, -3, -1, -2, -2, -1, -1, -2, -2, -2] misbehaved -1.6 0.4899 [-1, -2, -1, -2, -2, -2, -1, -2, -1, -2] misbehaves -1.6 0.4899 [-1, -2, -2, -1, -2, -2, -1, -2, -1, -2] misbehaving -1.7 0.64031 [-1, -2, -1, -2, -3, -2, -1, -2, -1, -2] mischief -1.5 0.67082 [-2, -1, -1, -1, -1, -2, -3, -2, -1, -1] mischiefs -0.8 1.72047 [-2, -1, -2, -2, 3, -1, -2, 2, -1, -2] miser -1.8 0.87178 [-1, -2, 0, -3, -2, -2, -3, -2, -2, -1] miserable -2.2 1.32665 [-2, -2, -3, -3, -4, -3, -1, -2, 1, -3] miserableness -2.8 0.6 [-3, -3, -3, -3, -2, -2, -3, -4, -2, -3] miserablement -2.1 1.37477 [-2, -1, -3, -3, -4, -3, -1, -2, 1, -3] miserere -0.8 1.07703 [-1, -1, 0, -3, 0, -1, 0, 1, -2, -1] misericorde 0.1 1.64012 [1, 1, -1, 2, 1, 2, -3, -1, -2, 1] misericordes -0.5 1.36015 [0, 0, -1, 0, 0, 1, -3, 0, 1, -3] miseries -2.7 0.78102 [-3, -4, -1, -2, -3, -3, -2, -3, -3, -3] miserliness -2.6 1.0198 [-3, -1, -3, -2, -2, -1, -3, -4, -4, -3] miserly -1.4 0.91652 [0, -2, -2, 0, -1, -2, -2, -1, -3, -1] misers -1.5 0.92195 [0, -1, -1, -3, -1, -1, -2, -3, -2, -1] miseria -2.7 0.45826 [-2, -2, -3, -3, -2, -3, -3, -3, -3, -3] tristesa -2.7 0.45826 [-2, -2, -3, -3, -2, -3, -3, -3, -3, -3] misgiving -1.4 0.4899 [-2, -2, -2, -1, -1, -1, -2, -1, -1, -1] desinformació -1.3 0.64031 [-1, -1, -1, -1, -1, -1, -2, -1, -1, -3] misinformed -1.6 0.4899 [-1, -1, -1, -2, -2, -1, -2, -2, -2, -2] misinterpreted -1.3 0.64031 [-1, -2, -1, 0, -2, -1, -1, -1, -2, -2] misleading -1.7 0.64031 [-2, -1, -3, -1, -1, -2, -2, -2, -1, -2] misread -1.1 0.3 [-1, -1, -1, -2, -1, -1, -1, -1, -1, -1] misreporting -1.5 0.5 [-2, -1, -1, -1, -2, -1, -2, -2, -1, -2] misrepresentation -2.0 0.63246 [-2, -3, -2, -1, -1, -3, -2, -2, -2, -2] miss -0.6 1.35647 [-1, -1, -1, -1, -2, -1, 2, 2, -2, -1] missed -1.2 0.74833 [-2, -1, 0, -1, -1, -1, -3, -1, -1, -1] misses -0.9 0.3 [-1, -1, 0, -1, -1, -1, -1, -1, -1, -1] missing -1.2 0.4 [-1, -2, -1, -1, -1, -1, -2, -1, -1, -1] mistakable -0.8 0.4 [-1, -1, -1, -1, -1, -1, -1, 0, 0, -1] errada -1.4 0.4899 [-1, -2, -1, -1, -1, -1, -2, -2, -2, -1] mistaken -1.5 0.67082 [-2, -1, -2, -2, -1, -1, -1, -3, -1, -1] mistakenly -1.2 0.4 [-1, -1, -2, -1, -1, -1, -1, -2, -1, -1] mistaker -1.6 0.4899 [-2, -1, -2, -1, -2, -2, -1, -2, -1, -2] mistakers -1.6 0.8 [-3, -1, -1, -1, -3, -1, -1, -2, -2, -1] mistakes -1.5 0.67082 [-2, -1, -2, -1, -3, -2, -1, -1, -1, -1] mistaking -1.1 0.53852 [-1, -1, -1, -1, 0, -1, -1, -1, -2, -2] misunderstand -1.5 0.67082 [-3, -2, -1, -1, -1, -1, -1, -2, -2, -1] misunderstanding -1.8 0.6 [-1, -1, -1, -3, -2, -2, -2, -2, -2, -2] misunderstands -1.3 0.45826 [-1, -2, -1, -2, -1, -1, -2, -1, -1, -1] misunderstood -1.4 0.66332 [-1, -1, -1, -3, -1, -1, -2, -1, -2, -1] mlm -1.4 1.68523 [0, -2, -2, -3, -4, -2, 0, 1, 1, -3] mmk 0.6 1.0198 [0, 0, 0, 0, 0, 3, 1, 0, 0, 2] moan -0.6 1.62481 [-2, -1, 0, -3, 2, -2, 0, 0, -2, 2] moaned -0.4 1.35647 [-2, 0, -3, 0, -1, -1, 2, 1, 0, 0] moaning -0.4 1.28062 [-1, -1, 1, -1, 0, 0, 2, 0, -3, -1] moans -0.6 0.8 [-2, 0, 0, -2, 0, -1, 0, 0, 0, -1] mock -1.8 0.74833 [-3, -1, -1, -2, -2, -1, -3, -1, -2, -2] meck -1.8 0.74833 [-3, -1, -1, -2, -2, -1, -3, -1, -2, -2] mocked -1.3 1.26886 [-2, -2, -1, -2, -2, -3, -2, 1, 1, -1] mocker -0.8 1.46969 [-1, -2, 2, -2, -2, -2, -2, 1, 1, -1] mockeries -1.6 0.8 [-3, -1, -2, -2, -2, 0, -1, -2, -1, -2] mockers -1.3 0.78102 [-2, -3, 0, -1, -1, -1, -2, -1, -1, -1] mockery -1.3 0.45826 [-2, -1, -1, -1, -1, -1, -2, -2, -1, -1] mocking -1.7 0.64031 [-2, -1, -1, -2, -1, -1, -3, -2, -2, -2] mocks -2.0 0.63246 [-1, -3, -2, -2, -2, -2, -2, -1, -3, -2] molest -2.1 1.81384 [-4, -1, -2, -4, -3, 1, -3, 1, -2, -4] molestation -1.9 1.57797 [-2, -2, -3, -2, -3, -2, -4, 1, 1, -3] molestations -2.9 1.04403 [-3, -4, -4, -4, -3, -2, -2, -1, -2, -4] molested -1.9 1.92094 [-4, 1, -1, -4, -2, -1, -4, -4, 1, -1] molester -2.3 1.61555 [-4, -2, -1, -4, -2, -1, -4, -4, 1, -2] molesters -2.2 1.66132 [-2, -4, -3, -3, -3, 1, 1, -3, -3, -3] molesting -2.8 1.72047 [-4, -4, -4, -4, -3, -4, -1, -1, 1, -4] molests -3.1 1.13578 [-3, -4, -4, -4, -3, -4, 0, -3, -3, -3] mongering -0.8 1.16619 [-3, -2, 0, 0, -1, 1, -2, 0, -1, 0] monopolize -0.8 1.6 [-1, -3, -2, -2, 0, -1, -1, -2, 2, 2] monopolized -0.9 0.53852 [0, -2, -1, 0, -1, -1, -1, -1, -1, -1] monopolizes -1.1 0.83066 [0, -3, -1, 0, -1, -1, -2, -1, -1, -1] monopolizing -0.5 1.56525 [2, -1, -2, -1, -3, -1, -1, 2, 1, -1] mooch -1.7 0.9 [-1, -1, -1, -3, -1, -3, -3, -2, -1, -1] mooched -1.4 0.4899 [-2, -1, -2, -1, -1, -2, -1, -1, -2, -1] moocher -1.5 0.67082 [-2, -1, -2, -1, -1, -2, -1, -1, -3, -1] moochers -1.9 0.7 [-3, -2, -2, -3, -1, -1, -1, -2, -2, -2] mooches -1.4 0.66332 [-2, -1, -2, -1, 0, -2, -1, -1, -2, -2] mooching -1.7 0.64031 [-3, -2, -1, -1, -2, -2, -1, -2, -1, -2] moodier -1.1 1.13578 [-2, -1, -1, -1, -2, -1, -2, 2, -1, -2] moodiest -2.1 0.9434 [-1, -2, -2, -2, -1, -2, -4, -3, -1, -3] moodily -1.3 0.45826 [-1, -1, -1, -1, -1, -2, -2, -1, -2, -1] moodiness -1.4 0.66332 [-2, -1, -2, -2, -1, 0, -2, -1, -1, -2] moodinesses -1.4 0.4899 [-2, -1, -1, -2, -1, -1, -1, -2, -2, -1] moody -1.5 0.67082 [-1, -1, -1, -2, -2, -3, -1, -1, -1, -2] mope -1.9 0.53852 [-2, -2, -1, -2, -2, -2, -2, -3, -1, -2] moping -1.0 1.48324 [-2, -2, -1, -1, 1, 2, -3, -2, 0, -2] moron -2.2 0.6 [-2, -1, -2, -3, -3, -2, -2, -3, -2, -2] moronic -2.7 0.64031 [-3, -3, -3, -3, -2, -4, -2, -3, -2, -2] moronically -1.4 1.8 [-4, -2, -1, 2, -2, -2, -3, -3, 0, 1] moronity -1.1 1.22066 [-2, -1, -2, -1, 0, -2, 2, -2, -2, -1] morons -1.3 1.1 [-1, -1, -1, 0, -3, -2, 0, 0, -2, -3] motherfucker -3.6 0.66332 [-3, -4, -4, -4, -4, -2, -4, -3, -4, -4] motherfucking -2.8 1.249 [-3, -1, -4, 0, -3, -3, -4, -4, -3, -3] motivate 1.6 0.4899 [1, 1, 1, 1, 2, 2, 2, 2, 2, 2] motivated 2.0 0.63246 [3, 3, 1, 2, 1, 2, 2, 2, 2, 2] motivating 2.2 0.6 [2, 2, 3, 3, 3, 2, 2, 2, 1, 2] motivation 1.4 0.66332 [1, 1, 2, 0, 2, 1, 2, 1, 2, 2] mourn -1.8 0.6 [-2, -2, -2, -2, -2, -1, -2, -3, -1, -1] mourned -1.3 1.55242 [-1, -2, -3, -3, -2, -1, 1, -2, 2, -2] mourner -1.6 1.35647 [-3, 0, -2, -1, -1, 0, -2, 0, -3, -4] mourners -1.8 0.74833 [-1, -2, -3, -1, -2, -1, -2, -1, -2, -3] mournful -1.6 1.62481 [-2, -3, -3, 2, -2, -3, -2, 1, -2, -2] mournfuller -1.9 0.9434 [-2, -3, -3, -3, 0, -2, -1, -2, -2, -1] mournfully -1.7 1.55242 [-4, -3, -2, -3, 1, -2, -2, -2, 1, -1] mournfulness -1.8 1.4 [-4, -3, 1, -3, -1, -2, 0, -2, -2, -2] mourning -1.9 1.04403 [-1, -1, -1, -1, -2, -3, -4, -3, -2, -1] mourningly -2.3 1.18743 [-3, -3, -3, -3, -2, -3, -2, 1, -2, -3] mourns -2.4 0.66332 [-2, -2, -3, -2, -3, -3, -3, -1, -2, -3] muah 2.3 1.26886 [0, 3, 1, 2, 3, 1, 4, 4, 3, 2] mumpish -1.4 0.66332 [-1, -1, -2, -2, 0, -1, -2, -2, -1, -2] murder -3.7 0.64031 [-4, -4, -4, -4, -2, -4, -4, -4, -3, -4] murdered -3.4 0.66332 [-4, -3, -2, -3, -4, -4, -3, -3, -4, -4] murderee -3.2 0.6 [-3, -3, -2, -3, -4, -4, -3, -3, -4, -3] murderees -3.1 0.7 [-2, -4, -3, -4, -3, -2, -3, -3, -4, -3] murderer -3.6 0.4899 [-4, -3, -3, -3, -4, -4, -4, -3, -4, -4] murderers -3.3 0.78102 [-3, -4, -4, -4, -4, -2, -4, -3, -3, -2] murderess -2.2 1.72047 [-2, -2, -3, -4, -3, -3, -4, 1, 1, -3] murderesses -2.6 0.8 [-2, -4, -3, -4, -2, -2, -2, -2, -3, -2] murdering -3.3 0.78102 [-4, -2, -4, -3, -4, -3, -2, -4, -4, -3] murderous -3.2 0.74833 [-3, -3, -4, -3, -4, -4, -4, -2, -2, -3] murderously -3.1 0.9434 [-3, -4, -4, -4, -3, -4, -1, -2, -3, -3] murderousness -2.9 0.7 [-3, -3, -4, -2, -2, -2, -4, -3, -3, -3] murders -3.0 1.84391 [-4, -4, -4, 2, -4, -2, -4, -4, -2, -4] n00b -1.6 0.8 [-1, -3, -1, -2, -2, -2, -2, -2, -1, 0] nag -1.5 0.80623 [-1, -1, -3, -1, -3, -2, -1, -1, -1, -1] nagana -1.7 0.9 [-2, -2, 0, 0, -2, -3, -2, -2, -2, -2] nagged -1.7 0.45826 [-2, -1, -2, -1, -2, -2, -1, -2, -2, -2] nagger -1.8 0.4 [-2, -1, -2, -2, -2, -2, -1, -2, -2, -2] naggers -1.5 0.67082 [-1, -1, -2, -2, -2, -1, -1, -3, -1, -1] naggier -1.4 1.11355 [-2, -3, -2, -2, 1, -1, -2, -1, 0, -2] naggiest -2.4 0.91652 [-3, -2, -2, -1, -4, -2, -3, -3, -3, -1] nagging -1.7 0.64031 [-1, -1, -1, -1, -2, -2, -2, -2, -3, -2] naggingly -0.9 1.37477 [-2, 2, -1, -1, -1, -3, 1, -1, -1, -2] naggy -1.7 0.64031 [-2, -2, -1, -1, -3, -2, -1, -2, -1, -2] nags -1.1 0.53852 [-1, -1, -2, -1, -1, -2, -1, -1, 0, -1] nah -0.4 1.28062 [0, 0, 1, -1, -3, -1, 0, 2, -1, -1] naive -1.1 1.22066 [-2, -2, -1, 2, -1, -1, -1, -3, -1, -1] nastic 0.2 0.6 [2, 0, 0, 0, 0, 0, 0, 0, 0, 0] nastier -2.3 0.45826 [-2, -2, -2, -3, -3, -2, -3, -2, -2, -2] nasties -2.1 0.3 [-2, -2, -2, -2, -3, -2, -2, -2, -2, -2] nastiest -2.4 1.85472 [-4, -4, -4, -2, -3, -2, 1, 1, -3, -4] nastily -1.9 0.7 [-2, -3, -1, -2, -2, -3, -1, -1, -2, -2] nastiness -1.1 1.44568 [-2, -2, -3, -2, 1, -1, -1, -1, 2, -2] nastinesses -2.6 0.66332 [-2, -3, -3, -2, -3, -3, -3, -1, -3, -3] nasturtium 0.4 0.66332 [0, 0, 0, 0, 0, 1, 1, 0, 2, 0] nasturtiums 0.1 0.3 [0, 0, 0, 0, 0, 0, 1, 0, 0, 0] nasty -2.6 1.0198 [-3, -1, -2, -4, -3, -3, -1, -2, -4, -3] natural 1.5 1.0247 [2, 0, 0, 1, 1, 3, 2, 2, 3, 1] neat 2.0 0.89443 [2, 1, 1, 2, 3, 1, 2, 2, 2, 4] neaten 1.2 0.4 [1, 1, 1, 1, 1, 2, 2, 1, 1, 1] neatened 2.0 1.09545 [0, 2, 1, 3, 1, 2, 4, 3, 2, 2] neatening 1.3 0.45826 [1, 1, 1, 1, 2, 2, 2, 1, 1, 1] neatens 1.1 0.83066 [0, 1, 0, 1, 1, 1, 1, 3, 2, 1] neater 1.0 0.44721 [1, 1, 1, 1, 1, 1, 2, 0, 1, 1] neatest 1.7 0.64031 [1, 2, 2, 1, 2, 2, 1, 2, 1, 3] neath 0.2 0.9798 [0, 0, -2, 0, 0, 2, 0, 1, 1, 0] neatherd -0.4 0.8 [0, 0, 0, -2, 0, -1, 1, -1, -1, 0] neatly 1.4 0.66332 [2, 1, 1, 2, 2, 2, 0, 1, 1, 2] neatness 1.3 0.64031 [2, 1, 1, 0, 1, 1, 2, 2, 2, 1] neats 1.1 0.53852 [2, 1, 2, 1, 0, 1, 1, 1, 1, 1] needy -1.4 0.4899 [-1, -2, -2, -2, -1, -1, -1, -1, -2, -1] negative -2.7 0.9 [-1, -3, -3, -2, -4, -2, -2, -4, -3, -3] negativity -2.3 0.45826 [-2, -2, -2, -2, -3, -2, -3, -3, -2, -2] neglect -2.0 0.63246 [-2, -2, -1, -1, -3, -2, -3, -2, -2, -2] neglected -2.4 1.0198 [-1, -2, -4, -3, -2, -2, -1, -4, -3, -2] neglecter -1.7 0.64031 [-2, -2, -1, -1, -1, -3, -2, -2, -1, -2] neglecters -1.5 0.67082 [-2, -1, -1, -1, -2, -1, -1, -2, -3, -1] neglectful -2.0 0.63246 [-3, -3, -1, -2, -2, -2, -1, -2, -2, -2] neglectfully -2.1 0.9434 [-1, -3, -3, -1, -1, -2, -2, -2, -4, -2] neglectfulness -2.0 0.63246 [-2, -2, -2, -2, -1, -3, -2, -2, -1, -3] neglecting -1.7 0.78102 [-2, -1, -3, -2, -1, -3, -1, -1, -2, -1] neglects -2.2 0.4 [-2, -2, -2, -2, -2, -3, -2, -3, -2, -2] nerd -1.2 0.6 [-1, -2, -1, -2, -1, 0, -1, -1, -2, -1] nerdier -0.2 0.87178 [0, 0, -1, -1, 0, -1, 2, 0, 0, -1] nerdiest 0.6 1.28062 [2, 3, 0, -1, 1, 0, 0, -1, 2, 0] nerdish -0.1 1.04403 [-1, -1, 2, 0, -1, -1, 1, 0, 1, -1] nerdy -0.2 1.249 [-1, -1, -1, 3, 0, 0, 0, 0, -2, 0] nerves -0.4 0.8 [0, -1, 0, 1, -2, -1, 0, -1, 0, 0] nervous -1.1 0.53852 [-1, -1, -1, -2, -2, -1, -1, 0, -1, -1] nervously -0.6 1.56205 [-1, -1, -1, -1, -1, -2, 4, -1, -1, -1] nervousness -1.2 0.4 [-1, -1, -1, -1, -1, -1, -1, -2, -2, -1] neurotic -1.4 1.11355 [-3, -2, -2, -1, 1, -2, -2, -1, 0, -2] neurotically -1.8 1.16619 [0, -2, -1, -3, -3, -1, 0, -2, -3, -3] neuroticism -0.9 1.22066 [-2, -1, -1, -1, -2, 0, -3, 1, 1, -1] neurotics -0.7 1.61555 [-2, 0, -1, -2, -1, -3, 0, 2, 2, -2] amable 1.8 0.74833 [3, 1, 1, 2, 2, 1, 3, 1, 2, 2] amablement 1.9 0.83066 [2, 1, 2, 2, 4, 2, 1, 1, 2, 2] niceness 1.6 0.66332 [1, 1, 3, 2, 1, 1, 2, 2, 2, 1] nicenesses 2.1 1.22066 [4, 0, 3, 1, 2, 1, 4, 2, 2, 2] nicer 1.9 0.53852 [2, 2, 1, 2, 3, 2, 2, 2, 1, 2] nicest 2.2 0.87178 [1, 4, 1, 2, 2, 2, 3, 3, 2, 2] niceties 1.5 1.20416 [1, 4, 1, 1, 2, 1, 0, 3, 2, 0] nicety 1.2 1.07703 [1, 0, 4, 1, 1, 0, 2, 1, 1, 1] nifty 1.7 0.64031 [2, 2, 1, 1, 1, 2, 3, 2, 2, 1] niggas -1.4 2.2 [-4, -3, 2, 1, -4, -2, 0, -1, 1, -4] negre -3.3 1.18743 [-4, -4, -4, -4, -4, -4, -1, -3, -1, -4] no -1.2 0.74833 [-1, -1, -1, -1, -1, -1, 0, -1, -2, -3] noble 2.0 0.89443 [2, 1, 2, 2, 3, 0, 2, 3, 2, 3] noisy -0.7 0.64031 [-2, 0, -1, -1, 0, -1, -1, 0, 0, -1] tontades -1.7 0.64031 [-3, -1, -1, -1, -2, -1, -2, -2, -2, -2] tontada -1.7 0.64031 [-3, -1, -1, -1, -2, -1, -2, -2, -2, -2] tonteries -1.7 0.64031 [-3, -1, -1, -1, -2, -1, -2, -2, -2, -2] noob -0.2 1.16619 [-2, 0, -1, 0, -1, 2, 1, 1, -1, -1] nosey -0.8 1.16619 [-2, -2, -2, 1, -1, -1, 0, 1, 0, -2] notorious -1.9 1.3 [-2, -4, -3, -2, -2, -2, -1, -1, -3, 1] novel 1.3 0.64031 [2, 0, 1, 1, 1, 1, 2, 2, 2, 1] numb -1.4 0.66332 [-1, -1, -1, -1, -2, -1, -1, -3, -2, -1] numbat 0.2 0.4 [0, 0, 0, 0, 1, 1, 0, 0, 0, 0] numbed -0.9 0.53852 [-1, -1, -1, -1, 0, 0, -2, -1, -1, -1] number 0.3 0.64031 [0, 0, 1, 0, 0, 2, 0, 0, 0, 0] numberable 0.6 0.91652 [0, 2, 0, 0, 0, 2, 2, 0, 0, 0] numbest -1.0 0.89443 [-2, -1, 0, 0, -3, -1, -1, -1, 0, -1] numbfish -0.4 0.66332 [-1, 0, 0, 0, -2, 0, 0, -1, 0, 0] numbfishes -0.7 0.9 [0, -1, 0, -1, -1, 0, -1, 0, 0, -3] numbing -1.1 0.83066 [-1, 0, -1, -1, -2, -1, -3, -1, 0, -1] numbingly -1.3 0.45826 [-1, -1, -2, -1, -1, -1, -2, -1, -2, -1] numbles 0.4 0.66332 [0, 0, 0, 0, 1, 2, 0, 0, 1, 0] numbly -1.4 1.0198 [-3, -2, 0, -1, -1, -3, -1, -2, -1, 0] numbness -1.1 0.7 [-1, -1, -2, -1, -1, -2, -1, 0, -2, 0] numbs -0.7 1.00499 [-1, 0, -1, 0, 1, 0, -3, -1, -1, -1] numbskull -2.3 1.41774 [-2, -4, -3, 0, -2, -2, -4, -4, 0, -2] numbskulls -2.2 1.07703 [-2, -2, -4, -2, -2, -1, -3, -3, 0, -3] nurtural 1.5 0.80623 [2, 1, 2, 2, 1, 3, 0, 1, 2, 1] nurturance 1.6 0.8 [1, 2, 1, 1, 3, 0, 2, 2, 2, 2] nurturances 1.3 1.55242 [0, -2, 3, 1, 1, 2, 3, 0, 2, 3] nurturant 1.7 0.78102 [2, 1, 3, 2, 2, 2, 2, 1, 0, 2] nurture 1.4 0.8 [3, 1, 2, 2, 1, 2, 1, 0, 1, 1] nurtured 1.9 0.9434 [2, 1, 3, 3, 3, 1, 2, 2, 0, 2] nurturer 1.9 0.83066 [2, 1, 3, 3, 3, 1, 2, 2, 1, 1] nurturers 0.8 1.66132 [2, -1, 2, 2, 1, -2, -2, 2, 2, 2] nurtures 1.9 0.83066 [2, 1, 3, 3, 3, 1, 2, 2, 1, 1] nurturing 2.0 0.63246 [3, 3, 2, 2, 1, 2, 2, 1, 2, 2] nuts -1.3 1.26886 [-2, -1, -2, -3, 1, -1, 1, -2, -2, -2] o.o -0.8 1.07703 [-1, -1, 0, -2, -1, -1, -2, 1, -2, 1] o/\o 2.1 1.04403 [1, 2, 3, 1, 3, 4, 1, 2, 3, 1] o_0 -0.1 0.53852 [-1, -1, 0, 0, 0, 0, 0, 0, 1, 0] obliterate -2.9 0.83066 [-3, -4, -3, -3, -3, -3, -2, -1, -4, -3] obliterated -2.1 1.3 [-3, 0, -1, -4, -3, -2, 0, -2, -3, -3] obnoxious -2.0 0.44721 [-1, -2, -3, -2, -2, -2, -2, -2, -2, -2] obnoxiously -2.3 0.64031 [-3, -2, -1, -2, -2, -3, -2, -3, -3, -2] obnoxiousness -2.1 0.7 [-3, -1, -1, -2, -2, -3, -2, -2, -3, -2] obscene -2.8 0.87178 [-3, -3, -2, -1, -3, -4, -3, -4, -2, -3] obsess -1.0 0.89443 [-2, 0, -2, -1, 1, -1, -2, -1, -1, -1] obsessed -0.7 0.78102 [0, 0, -1, 0, -1, 0, -1, -2, -2, 0] obsesses -1.0 0.7746 [-2, -2, -1, -2, 0, -1, -1, -1, 0, 0] obsessing -1.4 0.66332 [-1, -1, -1, -2, -1, -1, -1, -3, -2, -1] obsession -1.4 0.8 [0, -2, -2, -1, -1, -1, -3, -1, -1, -2] obsessional -1.5 0.92195 [0, -2, -1, -1, -3, -1, -2, -1, -3, -1] obsessionally -1.3 0.9 [-1, -2, -2, -2, -2, -1, 1, -1, -1, -2] obsessions -0.9 1.44568 [-1, -4, -2, -1, 1, -1, 0, 1, 0, -2] obsessiu -0.9 1.04403 [-2, 0, -1, 0, 1, -1, -3, -1, -1, -1] obsessiva -0.9 1.04403 [-2, 0, -1, 0, 1, -1, -3, -1, -1, -1] obsessively -0.4 1.2 [-1, -1, -1, -1, -1, 1, 2, -2, 1, -1] obsessiveness -1.2 1.32665 [0, -3, -1, -1, -1, 1, -4, -1, -1, -1] obsessives -0.7 0.9 [-1, -1, -1, -1, -1, 1, -2, 1, -1, -1] obsolete -1.2 0.74833 [-1, -1, -1, -1, -2, -1, -1, -3, -1, 0] obstacle -1.5 1.0247 [-1, -3, -1, -2, -2, -2, 1, -1, -2, -2] obstacles -1.6 0.8 [-3, -1, -2, -1, -2, -2, 0, -2, -1, -2] obstinate -1.2 0.74833 [-2, -1, -1, -1, 0, 0, -2, -1, -2, -2] imparell -1.3 0.45826 [-1, -1, -2, -1, -1, -1, -2, -1, -2, -1] transgressio -1.2 1.93907 [-2, -2, -3, 3, -2, -2, -3, 2, -1, -2] crim -1.2 1.93907 [-2, -2, -3, 3, -2, -2, -3, 2, -1, -2] ofensa -1.2 1.93907 [-2, -2, -3, 3, -2, -2, -3, 2, -1, -2] offences -1.4 1.49666 [-2, -2, -4, -1, -2, -2, -1, 0, 2, -2] offend -1.2 1.4 [-2, -2, -2, -2, -1, -2, -2, 1, 2, -2] offended -1.0 1.41421 [-2, -2, -2, -2, -1, 0, -2, 2, 1, -2] offender -1.5 1.28452 [-3, -2, -2, -2, -2, -2, -2, 1, 1, -2] offenders -1.5 1.28452 [-2, -1, -2, -2, -2, -2, 2, -3, -2, -1] offending -2.3 0.64031 [-2, -2, -3, -2, -2, -4, -2, -2, -2, -2] offends -2.0 0.7746 [-3, -1, -1, -2, -2, -2, -3, -1, -2, -3] offense -1.0 1.61245 [-2, 1, -1, -2, -2, -2, -3, 2, 1, -2] offenseless 0.7 1.79165 [3, 1, 0, 2, 1, 2, 1, 0, -4, 1] offenses -1.5 1.5 [-1, -2, -2, -4, -1, -2, 1, -3, 1, -2] offensive -2.0 1.48324 [-3, -3, -3, -2, -1, -2, 2, -2, -3, -3] offensively -2.8 0.87178 [-2, -4, -3, -3, -2, -4, -4, -2, -2, -2] offensiveness -2.3 0.45826 [-2, -2, -2, -2, -2, -3, -2, -3, -3, -2] offensives -0.8 1.249 [0, 0, -1, -2, 0, 2, -2, -1, -2, -2] offline -0.5 0.92195 [0, 0, 0, 0, -3, 0, -1, 0, -1, 0] ok 1.2 0.4 [1, 2, 1, 1, 1, 1, 2, 1, 1, 1] okay 0.9 0.53852 [1, 1, 0, 0, 1, 1, 1, 2, 1, 1] okays 2.1 1.13578 [1, 1, 1, 4, 3, 2, 2, 1, 2, 4] ominous -1.4 1.49666 [-3, -2, -1, -2, -2, -1, -1, 1, 1, -4] once-in-a-lifetime 1.8 1.4 [4, 2, 1, 0, 1, 1, 4, 3, 2, 0] openness 1.4 0.8 [2, 1, 1, 2, 2, 1, 1, 1, 3, 0] opportune 1.7 0.78102 [2, 2, 0, 1, 2, 3, 2, 2, 1, 2] opportunely 1.5 1.0247 [1, 1, 4, 1, 2, 1, 1, 2, 2, 0] opportuneness 1.2 1.249 [0, 1, 2, 2, 2, 2, 2, 2, -2, 1] opportunism 0.4 1.11355 [-1, -1, 0, -1, 1, 2, 0, 1, 2, 1] opportunisms 0.2 1.4 [2, -1, 0, -1, 1, -2, 2, 2, -1, 0] opportunist 0.2 0.9798 [-1, -1, 0, -1, 0, 2, 0, 1, 1, 1] opportunistic -0.1 2.11896 [-2, 1, -1, 0, -4, 2, -1, 4, 1, -1] opportunistically 0.9 1.51327 [1, -3, 1, 3, 2, 2, 1, 0, 1, 1] opportunists 0.3 1.34536 [0, -1, -1, 2, 1, 3, -1, -1, 1, 0] opportunities 1.6 0.4899 [1, 1, 2, 2, 2, 1, 2, 2, 1, 2] opportunity 1.8 0.6 [2, 2, 2, 2, 3, 1, 2, 1, 1, 2] oppressed -2.1 0.53852 [-2, -2, -2, -1, -2, -2, -3, -2, -2, -3] oppressive -1.7 1.34536 [-3, -2, -1, -2, -2, -2, -3, 2, -2, -2] optimal 1.5 0.67082 [1, 2, 1, 3, 1, 1, 1, 2, 2, 1] optimality 1.9 0.7 [3, 3, 2, 1, 2, 1, 2, 2, 1, 2] optimally 1.3 0.9 [0, 3, 0, 1, 1, 2, 1, 1, 2, 2] optimisation 1.6 0.8 [3, 1, 1, 1, 2, 1, 1, 3, 2, 1] optimisations 1.8 0.6 [3, 1, 1, 2, 1, 2, 2, 2, 2, 2] optimise 1.9 0.83066 [1, 2, 3, 2, 3, 3, 2, 1, 1, 1] optimised 1.7 1.26886 [2, 4, 1, 2, 1, 2, 3, 2, 1, -1] optimises 1.6 1.0198 [3, 1, 1, 1, 1, 3, 2, 0, 3, 1] optimising 1.7 1.00499 [1, 2, 3, 3, 1, 2, 1, 3, 0, 1] optimism 2.5 0.67082 [2, 2, 3, 3, 3, 4, 2, 2, 2, 2] optimisms 2.0 0.63246 [2, 3, 1, 3, 1, 2, 2, 2, 2, 2] optimist 2.4 0.4899 [3, 2, 3, 2, 3, 3, 2, 2, 2, 2] optimistic 1.3 1.48661 [2, 2, -3, 2, 2, 2, 1, 2, 1, 2] optimistically 2.1 0.53852 [3, 2, 2, 2, 3, 2, 1, 2, 2, 2] optimists 1.6 0.66332 [3, 2, 2, 1, 2, 1, 2, 1, 1, 1] optimization 1.6 0.8 [2, 3, 1, 1, 1, 2, 0, 2, 2, 2] optimizations 0.9 1.04403 [0, 2, 0, 2, 1, 0, 3, 1, 0, 0] optimize 2.2 0.87178 [2, 3, 3, 2, 1, 2, 4, 2, 2, 1] optimized 2.0 0.44721 [1, 3, 2, 2, 2, 2, 2, 2, 2, 2] optimizer 1.5 0.67082 [1, 3, 1, 1, 2, 2, 1, 2, 1, 1] optimizers 2.1 0.7 [3, 3, 1, 3, 2, 2, 1, 2, 2, 2] optimizes 1.8 0.6 [1, 3, 2, 1, 2, 2, 1, 2, 2, 2] optimizing 2.0 0.7746 [1, 1, 2, 2, 1, 3, 3, 3, 2, 2] optionless -1.7 0.64031 [-2, -1, -2, -3, -1, -2, -2, -2, -1, -1] original 1.3 0.9 [0, 2, 0, 2, 2, 0, 2, 1, 2, 2] outcry -2.3 0.64031 [-3, -2, -2, -3, -2, -1, -3, -2, -2, -3] outgoing 1.2 1.16619 [1, 1, 1, 2, -1, 1, 3, 3, 0, 1] outmaneuvered 0.5 1.36015 [-2, 2, 0, 0, 3, 1, 1, 0, 1, -1] outrage -2.3 1.00499 [-2, -2, -4, -3, -1, -3, -3, -1, -1, -3] outraged -2.5 0.92195 [-3, -2, -2, -1, -3, -3, -1, -4, -3, -3] outrageous -2.0 1.34164 [-3, 0, -2, -1, -3, 0, -3, -3, -4, -1] outrageously -1.2 1.32665 [-1, -1, -3, -3, -2, -1, 2, -1, -1, -1] outrageousness -1.2 1.249 [-2, 0, 1, -2, -1, -1, -3, 0, -1, -3] outrageousnesses -1.3 1.67631 [-1, -3, -2, 1, 0, 1, 0, -3, -2, -4] outrages -2.3 1.00499 [-3, -2, -2, -1, -3, -3, -1, -4, -1, -3] outraging -2.0 1.18322 [-4, -1, -2, -3, -1, 0, -1, -3, -3, -2] outreach 1.1 0.7 [2, 1, 0, 0, 2, 1, 1, 1, 2, 1] outstanding 3.0 0.89443 [3, 1, 3, 3, 4, 4, 2, 3, 4, 3] overjoyed 2.7 0.78102 [4, 3, 3, 4, 2, 2, 2, 2, 3, 2] overload -1.5 0.67082 [-2, 0, -1, -2, -2, -1, -1, -2, -2, -2] overlooked -0.1 1.44568 [-1, -2, -1, -1, 2, 0, -1, 2, -1, 2] overreact -1.0 1.73205 [-2, -2, -2, -2, 0, -3, 1, 3, -1, -2] overreacted -1.7 0.64031 [-2, -2, -2, -1, -1, -1, -1, -3, -2, -2] overreaction -0.7 1.34536 [-2, -1, 0, -1, -1, 3, -2, -1, -1, -1] overreacts -2.2 0.87178 [-2, -2, -2, -3, -4, -1, -3, -1, -2, -2] oversell -0.9 0.7 [0, -1, -1, 0, -2, -1, -1, -1, -2, 0] overselling -0.8 1.16619 [0, -1, 0, -1, -2, -1, -1, -2, -2, 2] oversells 0.3 1.26886 [-1, -1, 0, 0, 2, 2, 2, -1, 1, -1] oversimplification 0.2 1.53623 [-1, 1, -1, -1, 1, -1, -2, 1, 2, 3] oversimplifies 0.1 1.37477 [3, 0, 0, -1, 1, -1, 2, -1, -1, -1] oversimplify -0.6 1.35647 [-3, -1, 0, -2, 0, 1, 2, -1, -1, -1] overstatement -1.1 0.7 [-2, 0, -1, -2, -1, 0, -1, -1, -2, -1] overstatements -0.7 1.34536 [-1, -1, -3, -1, 2, 0, -1, -1, -2, 1] overweight -1.5 0.67082 [-3, -2, -1, -1, -1, -2, -1, -2, -1, -1] overwhelm -0.7 1.26886 [-1, 2, -1, -1, -2, -2, 1, 0, -1, -2] overwhelmed 0.2 1.53623 [-2, -1, 2, -2, 2, 1, -1, 2, 1, 0] overwhelmingly -0.5 1.28452 [0, -2, -1, 0, -2, -1, -2, 0, 1, 2] overwhelms -0.8 1.249 [-2, -2, -1, -1, -1, -2, 2, 1, -1, -1] oxymoron -0.5 0.80623 [0, 0, -1, -1, -1, -2, 1, 0, 0, -1] pain -2.3 0.64031 [-2, -3, -2, -2, -2, -2, -2, -2, -2, -4] pained -1.8 0.6 [-1, -2, -3, -2, -2, -2, -2, -1, -1, -2] painful -1.9 0.9434 [-2, -1, -1, -3, -4, -1, -1, -2, -2, -2] painfuller -1.7 1.34536 [-2, -2, -2, 2, -1, -3, -2, -2, -3, -2] painfully -2.4 0.4899 [-2, -3, -2, -3, -3, -2, -2, -2, -2, -3] painfulness -2.7 0.64031 [-3, -4, -3, -2, -3, -3, -3, -2, -2, -2] paining -1.7 0.45826 [-1, -2, -2, -2, -2, -2, -1, -2, -1, -2] painless 1.2 0.87178 [1, 2, -1, 1, 2, 1, 2, 1, 2, 1] painlessly 1.1 0.3 [1, 1, 1, 1, 1, 1, 1, 1, 1, 2] painlessness 0.4 1.0198 [1, 1, 1, 1, -1, 1, -2, 0, 1, 1] pains -1.8 0.6 [-2, -2, -1, -1, -1, -2, -2, -2, -3, -2] palatable 1.6 0.8 [2, 1, 2, 1, 2, 1, 3, 0, 2, 2] palatableness 0.8 0.87178 [2, 1, 1, 0, -1, 2, 0, 1, 1, 1] palatably 1.1 0.83066 [2, 1, 2, 1, 1, 1, 2, -1, 1, 1] panic -2.3 0.64031 [-3, -2, -1, -2, -2, -2, -3, -3, -2, -3] panicked -2.0 1.61245 [-2, -4, -3, -3, -3, 1, -2, -2, 1, -3] panicking -1.9 0.53852 [-2, -2, -3, -2, -2, -2, -2, -2, -1, -1] panicky -1.5 0.67082 [-2, -2, -1, -1, -1, -1, -1, -2, -3, -1] panicle 0.5 0.67082 [2, 0, 0, 0, 0, 0, 0, 1, 1, 1] panicled 0.1 0.83066 [2, 0, 0, 0, 0, -1, 0, -1, 1, 0] panicles -0.2 0.6 [1, 0, 0, 0, 0, -1, 0, -1, -1, 0] panics -1.9 1.3 [-2, -3, -2, -3, -1, -2, 1, -4, -1, -2] paniculate 0.1 0.3 [0, 0, 0, 1, 0, 0, 0, 0, 0, 0] panicums -0.1 0.3 [0, 0, 0, 0, -1, 0, 0, 0, 0, 0] paradise 3.2 0.9798 [4, 1, 4, 2, 4, 4, 3, 3, 3, 4] paradox -0.4 0.66332 [-1, -1, 0, 0, -1, 0, -1, 0, 1, -1] paranoia -1.0 1.48324 [1, -2, -2, -3, -1, 0, -2, -1, -2, 2] paranoiac -1.3 1.61555 [-2, -3, -2, -2, 1, -3, 2, -2, 0, -2] paranoiacs -0.7 1.18743 [-1, 0, -1, -1, -3, 1, -2, 0, 1, -1] paranoias -1.5 1.0247 [-2, -3, -2, 0, -1, -3, 0, -1, -1, -2] paranoid -1.0 1.41421 [0, -3, -3, -2, -1, -1, 0, 1, -2, 1] paranoids -1.6 0.91652 [-2, -1, -1, -2, -2, -1, -1, -1, -4, -1] pardon 1.3 0.45826 [1, 2, 1, 2, 1, 2, 1, 1, 1, 1] pardoned 0.9 0.9434 [1, 1, 1, 1, 1, 1, 1, 0, 3, -1] pardoning 1.7 0.78102 [3, 2, 2, 2, 1, 1, 2, 2, 0, 2] pardons 1.2 0.6 [2, 1, 1, 1, 1, 2, 1, 2, 0, 1] parley -0.4 0.66332 [0, -2, 0, 0, -1, -1, 0, 0, 0, 0] partied 1.4 1.11355 [2, 3, 1, 1, 1, 2, 3, -1, 1, 1] partier 1.4 0.8 [2, 2, 1, 1, 0, 2, 3, 1, 1, 1] partiers 0.7 1.00499 [0, 0, 3, 0, 0, 0, 2, 1, 0, 1] parties 1.7 0.78102 [2, 3, 1, 1, 1, 2, 3, 1, 2, 1] festa 1.7 0.78102 [3, 2, 2, 1, 3, 2, 1, 1, 1, 1] partyer 1.2 1.07703 [1, 3, 1, 0, 1, 0, 2, 1, 3, 0] partyers 1.1 0.83066 [1, 2, 0, 3, 1, 1, 1, 0, 1, 1] partying 1.6 1.11355 [0, 3, 1, 0, 3, 2, 3, 1, 2, 1] passion 2.0 0.44721 [2, 2, 1, 3, 2, 2, 2, 2, 2, 2] passional 1.6 0.8 [2, 1, 3, 0, 2, 1, 1, 2, 2, 2] passionate 2.4 1.35647 [0, 4, 3, 3, 4, 2, 0, 2, 3, 3] passionately 2.4 0.91652 [3, 0, 3, 3, 2, 3, 2, 3, 2, 3] passionateness 2.3 0.64031 [1, 3, 2, 3, 2, 3, 2, 3, 2, 2] passionflower 0.3 0.45826 [0, 0, 0, 0, 1, 0, 1, 1, 0, 0] passionflowers 0.4 0.66332 [0, 0, 0, 0, 2, 1, 1, 0, 0, 0] passionless -1.9 0.7 [-3, -2, -2, -2, -1, -1, -1, -3, -2, -2] passions 2.2 0.6 [3, 3, 3, 2, 2, 1, 2, 2, 2, 2] passiu 0.8 1.46969 [4, 1, 1, 0, -2, 0, 1, 1, 2, 0] pasivament -0.7 0.64031 [0, -1, 0, 0, -1, -2, 0, -1, -1, -1] pathetic -2.7 1.48661 [-3, -4, -3, -4, -2, 1, -2, -2, -4, -4] pathetical -1.2 1.249 [-2, -1, -2, -1, -2, 1, -3, 1, -1, -2] pathetically -1.8 1.72047 [-3, -4, -2, 0, -3, -2, -3, -3, 1, 1] pagar -0.4 0.91652 [0, 0, -3, 0, 0, 0, 0, 0, -1, 0] pau 2.5 1.0247 [3, 2, 1, 4, 2, 3, 4, 1, 3, 2] peaceable 1.7 0.45826 [2, 2, 1, 2, 1, 2, 2, 1, 2, 2] peaceableness 1.8 1.16619 [2, 2, 4, 2, 2, 2, 2, 1, 2, -1] peaceably 2.0 0.63246 [2, 3, 2, 2, 1, 2, 3, 1, 2, 2] peaceful 2.2 0.74833 [4, 2, 1, 2, 2, 2, 3, 2, 2, 2] peacefuller 1.9 0.7 [2, 2, 2, 1, 3, 3, 2, 2, 1, 1] peacefullest 3.1 0.7 [3, 3, 2, 3, 4, 2, 4, 3, 4, 3] pacificament 2.4 0.66332 [3, 2, 2, 2, 4, 2, 2, 3, 2, 2] peacefulness 2.1 0.83066 [3, 2, 1, 2, 3, 1, 3, 3, 1, 2] peacekeeper 1.6 1.11355 [1, 1, 0, 2, 1, 1, 4, 3, 2, 1] peacekeepers 1.6 1.11355 [4, 1, 1, 2, 1, 1, 2, 3, 0, 1] peacekeeping 2.0 0.63246 [2, 1, 1, 2, 3, 3, 2, 2, 2, 2] peacekeepings 1.6 0.8 [0, 1, 1, 2, 2, 3, 2, 2, 2, 1] pacificador 2.0 0.89443 [2, 1, 2, 4, 2, 2, 1, 3, 1, 2] pacificadors 2.4 1.0198 [0, 3, 4, 2, 3, 2, 3, 3, 2, 2] peacemaking 1.7 0.78102 [1, 1, 1, 3, 3, 1, 2, 2, 2, 1] peacenik 0.8 0.87178 [1, 1, 0, 1, 2, 0, 1, 1, -1, 2] peaceniks 0.7 1.00499 [2, 0, 0, 1, 0, 2, 1, -1, 2, 0] peaces 2.1 0.83066 [2, 2, 2, 2, 3, 0, 3, 3, 2, 2] peacetime 2.2 1.16619 [3, 1, 4, 2, 4, 3, 1, 1, 2, 1] peacetimes 2.1 0.83066 [3, 2, 2, 4, 1, 2, 2, 2, 1, 2] peculiar 0.6 1.2 [-1, 0, -1, 1, 2, -1, 2, 1, 2, 1] peculiarities 0.1 1.37477 [-1, -1, 0, -1, -1, 1, 3, 2, -1, 0] peculiarity 0.6 1.2 [-1, 1, -1, 0, 2, -1, 1, 2, 2, 1] peculiarly -0.4 1.2 [-1, 2, -2, -1, 0, 0, -2, 1, -1, 0] penalty -2.0 0.63246 [-2, -3, -2, -2, -1, -2, -3, -2, -2, -1] pensive 0.3 1.1 [1, 0, 0, 1, 0, -1, 3, 0, -1, 0] perfect 2.7 0.78102 [2, 4, 2, 3, 4, 2, 3, 2, 3, 2] perfecta 1.4 1.42829 [1, 0, 0, 3, 1, 0, 0, 4, 3, 2] perfectes 0.6 1.11355 [0, 0, -1, 1, 0, 2, 3, 0, 1, 0] perfected 2.7 0.78102 [1, 3, 3, 4, 2, 3, 3, 2, 3, 3] perfecter 1.8 0.9798 [2, 1, 3, 1, 2, 1, 2, 4, 1, 1] perfecters 1.4 1.11355 [2, 1, 3, 0, 0, 3, 2, 0, 1, 2] perfectest 3.1 1.04403 [2, 4, 4, 4, 3, 2, 1, 3, 4, 4] perfectibilities 2.1 1.04403 [3, 2, 2, 3, 4, 1, 2, 2, 0, 2] perfectibility 1.8 1.249 [4, 3, 3, 0, 1, 0, 1, 2, 2, 2] perfectible 1.5 0.67082 [1, 2, 1, 1, 2, 1, 1, 3, 2, 1] perfecting 2.3 0.9 [1, 2, 3, 3, 1, 2, 2, 4, 2, 3] perfeccio 2.7 1.1 [3, 3, 3, 1, 2, 4, 4, 1, 2, 4] perfectionism 1.3 1.26886 [3, -1, 2, 1, 2, 2, 2, -1, 1, 2] perfectionist 1.5 1.20416 [3, -1, 3, 1, 2, 2, 2, 0, 1, 2] perfectionistic 0.7 1.67631 [-1, 0, 2, 0, 1, 0, 3, -1, 4, -1] perfectionists 0.1 1.22066 [1, -1, 1, -1, 0, 0, -1, 0, 3, -1] perfections 2.5 1.43178 [2, 4, 4, 3, 3, 4, -1, 2, 2, 2] perfective 1.2 0.87178 [1, 0, 1, 1, 3, 2, 2, 0, 1, 1] perfectively 2.1 1.13578 [3, 3, 1, 4, 0, 2, 1, 2, 2, 3] perfectiveness 0.9 1.51327 [-2, 3, -1, 0, 2, 0, 2, 2, 2, 1] perfectives 0.9 0.83066 [0, 2, 1, 1, 1, 0, 2, 0, 2, 0] perfectivity 2.2 0.9798 [3, 2, 0, 3, 1, 2, 3, 3, 2, 3] perfectly 3.2 0.4 [3, 4, 4, 3, 3, 3, 3, 3, 3, 3] perfectness 3.0 0.63246 [4, 3, 3, 3, 3, 2, 4, 2, 3, 3] perfecte 1.3 1.34536 [1, 0, 0, 2, 0, 0, 1, 4, 3, 2] perfects 1.6 1.11355 [1, 1, 1, 2, 1, 0, 1, 4, 3, 2] peril -1.7 1.67631 [-3, -2, -2, 3, -3, -2, -3, -2, -1, -2] perjuri -1.9 0.9434 [-3, -2, -3, -2, -2, 0, -1, -2, -3, -1] perpetrator -2.2 0.74833 [-2, -3, -2, -2, -2, -2, -4, -2, -1, -2] perpetrators -1.0 1.67332 [-1, -2, -2, -2, -2, 2, 0, -4, 1, 0] perplexed -1.3 0.64031 [-1, -1, -2, -1, -1, -1, 0, -2, -2, -2] persecute -2.1 1.37477 [-2, -3, -2, 1, -1, -4, -2, -2, -2, -4] persecuted -1.3 1.61555 [-2, -1, -2, -1, -2, 2, -4, 1, -2, -2] persecutes -1.2 1.4 [-2, -1, -2, 0, -2, 1, -3, 1, -1, -3] persecuting -1.5 1.62788 [-3, -2, -2, 0, -4, -3, -2, -1, 1, 1] trastornat -1.4 0.8 [-2, -1, -1, 0, -2, -2, -2, 0, -2, -2] pervers -1.8 1.8868 [-2, -4, -3, 1, -2, -4, 1, 0, -1, -4] perversely -2.2 0.87178 [-1, -2, -2, -2, -1, -3, -2, -3, -4, -2] perverseness -2.1 1.22066 [-3, -3, 1, -2, -3, -2, -3, -2, -1, -3] perversenesses -0.5 1.74642 [-2, 3, -1, -2, 1, 0, 1, 0, -2, -3] perversion -1.3 1.34536 [-3, -2, -2, 1, 1, -3, -1, -2, -1, -1] perversions -1.2 1.83303 [-2, 0, -4, -2, -3, -3, 0, 1, -1, 2] perversities -1.1 1.22066 [-2, -1, -2, 0, -2, -2, -2, 1, 1, -2] perversity -2.6 0.8 [-2, -3, -2, -2, -4, -3, -3, -1, -3, -3] perversive -2.1 0.7 [-3, -1, -3, -2, -2, -2, -2, -1, -3, -2] degenerat -2.3 0.9 [-2, -2, -1, -3, -4, -2, -3, -1, -3, -2] degenerada -2.3 0.9 [-2, -2, -1, -3, -4, -2, -3, -1, -3, -2] pervertit -2.5 1.56525 [-2, -4, -2, -4, -3, -4, 1, -2, -1, -4] pervertida -2.5 1.56525 [-2, -4, -2, -4, -3, -4, 1, -2, -1, -4] pervertedly -1.2 1.77764 [-3, -2, -1, -2, 2, -3, 1, -3, 1, -2] pervertedness -1.2 1.46969 [1, -2, -3, -2, 0, -2, -3, 1, 0, -2] perverter -1.7 1.48661 [-3, -4, -2, -2, -1, -1, 2, -2, -2, -2] perverters -0.6 1.68523 [-2, -2, -1, 0, -1, 2, -3, 1, 2, -2] perverting -1.0 2.09762 [4, -2, -2, -4, -2, 1, 0, -1, -2, -2] perverts -2.8 0.6 [-3, -3, -2, -3, -3, -2, -2, -4, -3, -3] inoportu -1.2 0.4 [-1, -2, -1, -1, -1, -1, -2, -1, -1, -1] pessimisme -1.5 1.36015 [-2, -3, 1, -2, -2, -1, 1, -3, -2, -2] pessimismes -2.0 1.0 [-3, -1, -2, -2, -3, -1, 0, -2, -3, -3] pessimist -1.5 1.36015 [-1, -3, 1, -2, -2, -2, 1, -3, -2, -2] pessimistic -1.5 1.43178 [-3, -1, -1, 1, -3, -3, -2, -2, -2, 1] pessimistically -2.0 1.0 [-1, -1, -3, -4, -2, -1, -1, -3, -2, -2] pessimistes -1.0 1.26491 [-1, 1, -1, 0, -2, -2, -2, -3, -1, 1] petrifaction -1.9 1.3 [-3, -2, -1, -4, -3, 0, -1, 0, -2, -3] petrifactions -0.3 1.00499 [0, -1, 0, 0, 0, 0, 0, 0, -3, 1] petrification -0.1 1.44568 [-1, 2, -1, -1, 0, 2, 2, -2, -1, -1] petrifications -0.4 0.8 [0, 0, -2, 0, 0, 0, 0, 0, -2, 0] petrificat -2.5 0.92195 [-4, -3, -2, -1, -2, -3, -2, -2, -2, -4] petrifies -2.3 1.00499 [-4, -3, -2, -1, -2, -2, -1, -2, -2, -4] petrify -1.7 0.9 [-2, -3, -1, -2, -1, -1, -2, -3, 0, -2] petrifying -2.6 0.8 [-2, -3, -3, -2, -4, -2, -3, -1, -3, -3] pettier -0.3 1.41774 [-1, -1, -1, -1, 2, 0, 2, -2, 1, -2] pettiest -1.3 1.95192 [1, -3, -3, -3, -2, -1, 2, -1, 1, -4] petty -0.8 1.32665 [1, -3, -2, -1, -1, -1, -1, -1, 2, -1] fobia -1.6 1.0198 [-2, -2, 1, -2, -3, -1, -1, -2, -2, -2] phobias -2.0 1.0 [-3, -2, -2, -3, -3, 0, -1, -2, -1, -3] phobic -1.2 1.16619 [-2, -2, 1, -1, -2, -1, 1, -2, -2, -2] phobics -1.3 0.64031 [-1, -1, -1, -2, -2, -1, 0, -2, -2, -1] picturesque 1.6 1.11355 [4, 1, 1, 2, 1, 2, 1, 0, 3, 1] pileup -1.1 1.13578 [-2, 1, 0, -1, 0, -1, -3, -2, -2, -1] pique -1.1 1.13578 [-2, -2, -2, 0, 0, -1, 1, -1, -1, -3] piqued 0.1 1.04403 [0, -2, 0, 1, 1, 1, -1, 1, -1, 1] pixarra -1.7 0.9 [-2, -1, -1, -2, -1, -3, -3, 0, -2, -2] pissant -1.5 1.5 [-1, -3, -3, 1, -3, -1, -1, -2, 1, -3] pissants -2.5 0.80623 [-4, -3, -3, -2, -3, -1, -2, -3, -2, -2] bufat -3.2 0.6 [-3, -3, -4, -3, -2, -4, -4, -3, -3, -3] pisser -2.0 1.09545 [-2, -4, -1, -3, -2, -3, -1, -2, -2, 0] pissers -1.4 2.00998 [-1, -1, -4, -2, -3, 4, -2, -1, -2, -2] pisses -1.4 0.8 [-2, -2, -1, -3, -1, -1, -1, -2, -1, 0] pissing -1.7 1.26886 [0, 0, -2, -2, -3, 0, -3, -1, -3, -3] pissoir -0.8 1.4 [-2, 0, 0, -2, -1, -3, 0, -2, 0, 2] piteous -1.2 1.46969 [-2, -1, -2, -2, -2, -1, 3, -1, -2, -2] pitiable -1.1 1.22066 [-1, 0, -1, -1, 1, -2, -4, -1, -1, -1] pitiableness -1.1 1.64012 [-2, -1, -1, -2, -4, 2, 1, 0, -2, -2] pitiably -1.1 0.9434 [-1, 0, 0, -2, 0, -2, -3, -1, -1, -1] pitied -1.3 1.1 [-2, -1, -3, -1, 1, 0, -2, -2, -1, -2] pitier -1.2 1.32665 [-3, -1, -2, -3, -1, -1, 1, 1, -2, -1] pitiers -1.3 0.9 [0, -1, -2, -2, -1, -1, -1, -3, -2, 0] pities -1.2 1.249 [-2, -1, -2, -3, -1, -1, 1, 1, -2, -2] pitiful -2.2 0.9798 [-3, -2, -1, -3, -2, -2, -3, -3, -3, 0] pitifuller -1.8 1.07703 [-1, -1, -2, -3, -4, 0, -2, -2, -1, -2] pitifullest -1.1 2.11896 [-2, 1, -1, -4, -4, -1, -3, -1, 2, 2] pitifully -1.2 1.249 [-2, -1, -3, -2, -1, -1, -2, -1, 2, -1] pitifulness -1.2 1.77764 [-3, -2, -1, -3, -2, -1, 3, 1, -2, -2] pitiless -1.8 0.87178 [-2, 0, -2, -2, -2, -3, -1, -3, -1, -2] pitilessly -2.1 0.7 [-2, -2, -1, -3, -3, -1, -3, -2, -2, -2] pitilessness -0.5 1.62788 [1, 3, 1, -3, -2, -1, -1, -1, -1, -1] pena -1.2 0.4 [-2, -2, -1, -1, -1, -1, -1, -1, -1, -1] pitying -1.4 0.91652 [-1, -3, -1, -3, -2, -1, 0, -1, -1, -1] pityingly -1.0 1.26491 [-2, -2, -1, -2, -2, 0, 0, -1, 2, -2] pityriasis -0.8 0.87178 [-2, 0, 0, 0, -1, 0, -2, -1, -2, 0] jugar 1.4 1.0198 [2, 0, 1, 1, 1, 2, 1, 4, 1, 1] jugat 1.4 1.42829 [2, 1, 1, 1, 4, 0, 1, 0, 4, 0] playful 1.9 0.83066 [4, 2, 2, 2, 1, 1, 1, 2, 2, 2] playfully 1.6 0.4899 [2, 1, 1, 2, 1, 2, 2, 2, 1, 2] playfulness 1.2 0.87178 [2, 1, 2, -1, 1, 2, 1, 2, 1, 1] playing 0.8 0.87178 [0, 2, 2, 1, 0, 0, 2, 0, 0, 1] plays 1.0 1.09545 [0, 2, 0, 2, 0, 1, 0, 2, 3, 0] pleasant 2.3 0.64031 [2, 3, 3, 3, 2, 1, 2, 2, 3, 2] pleasanter 1.5 0.67082 [2, 2, 2, 1, 0, 1, 1, 2, 2, 2] pleasantest 2.6 0.8 [3, 3, 3, 1, 2, 4, 3, 2, 2, 3] pleasantly 2.1 0.53852 [1, 2, 3, 2, 2, 2, 2, 2, 3, 2] pleasantness 2.3 0.9 [3, 2, 3, 3, 3, 1, 1, 3, 1, 3] pleasantnesses 2.3 0.78102 [3, 1, 2, 3, 1, 2, 3, 3, 2, 3] pleasantries 1.3 0.45826 [1, 1, 1, 1, 1, 2, 1, 2, 2, 1] pleasantry 2.0 0.7746 [2, 2, 1, 1, 4, 2, 2, 2, 2, 2] per favor 1.3 0.78102 [2, 1, 2, 2, 2, 0, 2, 1, 0, 1] pleased 1.9 0.53852 [2, 2, 2, 2, 1, 1, 2, 3, 2, 2] pleaser 1.7 0.45826 [2, 2, 2, 2, 1, 1, 1, 2, 2, 2] pleasers 1.0 1.0 [1, 1, 2, 0, 1, 3, 1, 1, -1, 1] pleases 1.7 0.45826 [2, 1, 2, 2, 1, 1, 2, 2, 2, 2] pleasing 2.4 0.91652 [2, 3, 2, 2, 2, 2, 4, 4, 1, 2] pleasurability 1.9 0.83066 [1, 2, 2, 2, 2, 0, 2, 3, 3, 2] pleasurable 2.4 0.4899 [2, 3, 3, 2, 3, 3, 2, 2, 2, 2] pleasurableness 2.4 0.91652 [2, 3, 2, 1, 2, 3, 4, 3, 1, 3] pleasurably 2.6 0.4899 [2, 2, 2, 3, 3, 3, 3, 2, 3, 3] plaer 2.7 0.9 [4, 4, 3, 2, 2, 3, 2, 1, 3, 3] pleasured 2.3 0.64031 [3, 2, 3, 2, 3, 3, 1, 2, 2, 2] pleasureless -1.6 0.8 [-1, -1, -1, -1, -2, -3, -3, -2, -1, -1] plaers 1.9 1.37477 [3, -2, 3, 2, 3, 2, 2, 2, 2, 2] pleasuring 2.8 0.4 [3, 2, 3, 3, 3, 3, 3, 2, 3, 3] poised 1.0 0.44721 [1, 1, 1, 1, 1, 1, 0, 1, 1, 2] poison -2.5 0.92195 [-4, -3, -2, -4, -2, -2, -2, -3, -1, -2] poisoned -2.2 0.9798 [-4, -1, -4, -1, -2, -2, -2, -2, -2, -2] poisoner -2.7 0.78102 [-2, -3, -3, -4, -4, -2, -2, -2, -2, -3] poisoners -3.1 0.83066 [-3, -4, -3, -4, -3, -4, -3, -3, -1, -3] poisoning -2.8 1.249 [-4, -4, -2, 0, -2, -3, -4, -3, -2, -4] poisonings -2.4 1.11355 [-2, 0, -2, -1, -4, -3, -3, -3, -3, -3] poisonous -2.7 0.78102 [-3, -3, -4, -2, -1, -3, -3, -3, -3, -2] poisonously -2.9 0.53852 [-3, -2, -3, -3, -2, -3, -3, -4, -3, -3] verins -2.7 0.9 [-3, -4, -3, -1, -2, -3, -3, -2, -2, -4] poisonwood -1.0 0.89443 [0, -2, 0, 0, 0, -1, -2, -2, -2, -1] contamina -2.3 0.64031 [-3, -2, -2, -2, -2, -3, -3, -1, -3, -2] contaminat -2.0 0.44721 [-2, -2, -1, -2, -2, -2, -2, -2, -3, -2] contaminador -1.8 0.6 [-2, -1, -2, -1, -2, -2, -3, -1, -2, -2] contaminadors -2.0 0.44721 [-2, -2, -2, -2, -2, -3, -2, -1, -2, -2] pollutes -2.2 0.87178 [-2, -1, -2, -1, -3, -1, -3, -3, -3, -3] pobre -2.1 1.13578 [-2, -2, -1, -4, -2, 0, -2, -4, -2, -2] poorer -1.5 1.56525 [-2, -3, -2, -2, -2, -2, 3, -2, -1, -2] poorest -2.5 0.80623 [-2, -3, -3, -1, -2, -3, -3, -4, -2, -2] popular 1.8 0.74833 [2, 3, 1, 2, 2, 1, 3, 1, 2, 1] popularise 1.6 0.66332 [1, 1, 2, 2, 3, 2, 1, 2, 1, 1] popularised 1.1 0.9434 [1, 1, 0, 0, 3, 2, 1, 2, 1, 0] popularises 0.5 0.67082 [1, 0, 0, 0, 0, 1, 1, 2, 0, 0] popularising 1.2 0.6 [1, 0, 2, 2, 1, 1, 1, 2, 1, 1] popularities 1.6 0.8 [2, 1, 1, 2, 0, 2, 1, 2, 3, 2] popularitat 2.1 1.04403 [2, 1, 1, 1, 3, 2, 3, 4, 3, 1] popularization 1.3 0.78102 [1, 2, 1, 2, 1, 0, 1, 1, 3, 1] popularizations 0.9 0.7 [1, 1, 1, 0, 2, 0, 1, 1, 2, 0] popularize 1.3 0.64031 [2, 2, 0, 2, 1, 1, 1, 1, 2, 1] popularized 1.9 0.83066 [3, 2, 3, 2, 1, 0, 2, 2, 2, 2] popularizer 1.8 0.74833 [2, 2, 3, 2, 1, 0, 2, 2, 2, 2] popularizers 1.0 0.89443 [0, 0, 1, 2, 1, 1, 1, 1, 3, 0] popularizes 1.4 0.8 [2, 1, 3, 2, 1, 0, 1, 2, 1, 1] popularizing 1.5 0.67082 [2, 2, 1, 1, 1, 2, 2, 0, 2, 2] popularly 1.8 0.74833 [1, 3, 2, 1, 3, 1, 2, 1, 2, 2] positive 2.6 0.91652 [2, 1, 2, 2, 3, 3, 4, 3, 4, 2] positively 2.4 0.66332 [2, 2, 3, 3, 4, 2, 2, 2, 2, 2] positiveness 2.3 1.18743 [2, 1, 4, 3, 4, 2, 0, 3, 2, 2] positivenesses 2.2 0.74833 [3, 3, 2, 2, 2, 2, 1, 3, 1, 3] positiver 2.3 0.78102 [1, 4, 2, 2, 2, 3, 2, 2, 2, 3] positives 2.4 0.4899 [3, 3, 2, 2, 2, 2, 3, 2, 3, 2] positivest 2.9 1.04403 [4, 3, 2, 1, 3, 4, 4, 4, 2, 2] positivism 1.6 1.35647 [3, 0, 2, 1, 2, 0, 3, 4, 1, 0] positivisms 1.8 0.9798 [4, 1, 2, 2, 2, 0, 2, 2, 1, 2] positivist 2.0 1.0 [3, 1, 2, 2, 2, 0, 2, 4, 2, 2] positivistic 1.9 0.83066 [2, 3, 1, 3, 1, 1, 3, 2, 1, 2] positivists 1.7 1.1 [1, 2, 1, 4, 2, 1, 3, 0, 1, 2] positivities 2.6 0.91652 [2, 2, 4, 3, 2, 3, 4, 3, 1, 2] positivity 2.3 0.9 [2, 2, 2, 3, 3, 3, 3, 0, 3, 2] possessive -0.9 1.22066 [-1, -1, -2, -2, 0, -1, 0, -2, 2, -2] postpone -0.9 0.83066 [1, -1, -2, -1, -1, -2, -1, -1, 0, -1] postponed -0.8 0.4 [-1, -1, 0, 0, -1, -1, -1, -1, -1, -1] postpones -1.1 0.83066 [-1, -1, -1, 0, -1, 0, -2, -1, -3, -1] postponing -0.5 0.5 [0, -1, 0, -1, 0, 0, 0, -1, -1, -1] poverty -2.3 1.00499 [-2, -4, -2, -4, -3, -1, -2, -2, -1, -2] poderos 1.8 0.9798 [4, 0, 2, 1, 2, 2, 2, 2, 1, 2] potent 1.8 0.9798 [4, 0, 2, 1, 2, 2, 2, 2, 1, 2] incapaç -2.2 0.6 [-2, -3, -2, -2, -3, -2, -3, -2, -1, -2] inepte -2.2 0.6 [-2, -3, -2, -2, -3, -2, -3, -2, -1, -2] praise 2.6 0.8 [2, 4, 3, 3, 2, 1, 3, 3, 2, 3] praised 2.2 0.6 [3, 2, 2, 2, 2, 3, 1, 3, 2, 2] praiser 2.0 0.89443 [3, 1, 3, 1, 1, 2, 1, 3, 2, 3] praisers 2.0 0.63246 [2, 2, 1, 3, 3, 2, 1, 2, 2, 2] praises 2.4 0.4899 [3, 2, 2, 3, 2, 3, 2, 3, 2, 2] praiseworthily 1.9 0.7 [2, 1, 1, 3, 2, 2, 2, 3, 1, 2] praiseworthiness 2.4 0.8 [1, 3, 2, 4, 2, 2, 3, 2, 3, 2] praiseworthy 2.6 0.4899 [3, 3, 3, 3, 2, 2, 3, 2, 3, 2] praising 2.5 0.67082 [2, 3, 3, 2, 2, 3, 3, 3, 1, 3] pregar 1.3 1.18743 [0, 3, 2, 1, 1, 1, -1, 3, 1, 2] pregant 1.5 0.92195 [2, 2, 0, 3, 1, 3, 1, 1, 1, 1] prega 1.4 1.0198 [2, 0, 2, 0, 1, 1, 3, 1, 3, 1] prblm -1.6 0.8 [-1, -1, -1, -1, -1, -3, -3, -2, -2, -1] prblms -2.3 1.00499 [-2, -2, -2, -2, -4, -4, -3, -1, -2, -1] precious 2.7 0.64031 [3, 3, 3, 3, 3, 1, 3, 3, 2, 3] preciously 2.2 0.74833 [3, 3, 3, 2, 2, 1, 1, 3, 2, 2] preciousness 1.9 0.83066 [2, 4, 2, 2, 2, 1, 1, 1, 2, 2] prejudice -2.3 0.78102 [-2, -1, -2, -2, -3, -2, -2, -3, -4, -2] prejudiced -1.9 0.53852 [-2, -3, -1, -2, -1, -2, -2, -2, -2, -2] prejudices -1.8 0.74833 [-2, -3, -1, -2, -1, -3, -2, -1, -1, -2] prejudicial -2.6 0.8 [-3, -3, -2, -2, -3, -4, -2, -1, -3, -3] prejudicially -1.5 1.74642 [-3, -1, -1, -3, -3, -1, -3, 1, 2, -3] prejudicialness -2.4 1.42829 [-2, -3, 1, -3, -2, -4, -4, -3, -1, -3] prejudicing -1.8 1.07703 [-2, -2, -2, -3, -2, -1, 1, -3, -2, -2] prepared 0.9 0.3 [1, 1, 1, 1, 1, 0, 1, 1, 1, 1] pressure -1.2 0.6 [-1, -1, -1, -1, -2, -2, -1, -2, 0, -1] pressured -0.9 1.04403 [-2, -1, -2, -1, 2, -1, -1, -1, -1, -1] pressureless 1.0 1.26491 [2, 0, 1, -1, -1, 2, 1, 2, 1, 3] pressures -1.3 0.64031 [-2, -1, -1, -1, -3, -1, -1, -1, -1, -1] pressuring -1.4 0.91652 [-3, -1, -1, -1, -1, -1, -1, -3, -2, 0] pressurise -0.6 1.0198 [0, -2, 0, 1, 0, -2, 0, -2, 0, -1] pressurised -0.4 0.66332 [0, 0, 0, -1, 0, -1, 0, -2, 0, 0] pressurises -0.8 0.6 [-1, -1, -1, 0, -1, -1, 0, -1, 0, -2] pressurising -0.6 1.28062 [-1, 0, 0, 2, -1, -1, -3, 0, -2, 0] pressurizations -0.3 1.00499 [0, 0, 1, -2, 0, 0, -1, -2, 0, 1] pressurize -0.7 1.34536 [0, -2, -2, 0, 0, -1, -3, 2, -1, 0] pressurized 0.1 0.83066 [0, 0, 0, 2, 0, 0, -1, -1, 0, 1] pressurizer 0.1 0.83066 [0, 0, 0, 1, 0, 0, -1, -1, 0, 2] pressurizers -0.7 0.9 [-1, 0, -2, -1, -2, -1, 0, 0, 1, -1] pressurizes -0.2 0.87178 [0, 0, -1, 1, 0, 0, -1, -2, 0, 1] pressurizing -0.2 0.9798 [1, 0, -1, -1, -1, 0, -1, 2, 0, -1] pretend -0.4 0.91652 [0, 1, -1, -1, -2, 0, -1, -1, 1, 0] pretending 0.4 1.49666 [2, 0, -1, -1, 0, 3, -2, 1, 0, 2] pretends -0.4 0.66332 [0, -1, 0, -1, 1, 0, 0, -1, -1, -1] prettied 1.6 0.66332 [2, 1, 1, 1, 1, 2, 3, 2, 1, 2] prettier 2.1 0.53852 [2, 2, 2, 2, 2, 2, 3, 1, 2, 3] pretties 1.7 0.78102 [2, 1, 1, 2, 1, 2, 3, 1, 1, 3] prettiest 2.7 0.78102 [4, 3, 4, 2, 2, 2, 3, 2, 2, 3] pretty 2.2 0.6 [3, 2, 2, 2, 3, 1, 2, 2, 2, 3] prevent 0.1 1.22066 [-2, 1, 0, 0, -1, 2, -1, 2, 0, 0] prevented 0.1 0.7 [0, -1, 0, 2, 0, 0, 0, 0, 0, 0] preventing -0.1 1.51327 [-2, 0, -2, 3, 0, 0, -1, -1, 2, 0] prevents 0.3 1.34536 [0, -2, 0, 0, 0, 2, 0, -1, 3, 1] prick -1.4 1.42829 [-2, -2, -2, -1, 1, -1, -4, -2, 1, -2] pricked -0.6 1.0198 [-1, -1, -2, 1, 0, -1, -2, -1, 1, 0] pricker -0.3 0.9 [-1, -1, 0, 2, 0, -1, -1, -1, 0, 0] prickers -0.2 0.87178 [1, -1, -1, 0, 1, -1, 0, 1, -1, -1] pricket -0.5 0.67082 [0, -1, -1, -2, 0, 0, 0, 0, -1, 0] prickets 0.3 0.64031 [0, 2, 0, 0, 0, 1, 0, 0, 0, 0] pricking -0.9 1.22066 [-2, -1, -2, 2, -2, -2, -1, 0, -1, 0] prickle -1.0 0.44721 [-1, -1, -1, -1, -1, -1, -2, 0, -1, -1] prickled -0.2 1.53623 [-1, -1, 3, -1, -2, 2, 0, 0, 0, -2] prickles -0.8 0.74833 [0, -1, -1, -1, -2, -1, 0, 0, 0, -2] pricklier -1.6 0.8 [-1, -2, -2, -2, -2, -1, -2, -1, 0, -3] prickliest -1.4 1.35647 [-4, -2, -1, 0, -3, -1, -1, 1, -2, -1] prickliness -0.6 0.91652 [-2, -1, -1, -1, -1, 1, -1, 1, 0, -1] prickling -0.8 0.6 [-2, -1, 0, -1, 0, 0, -1, -1, -1, -1] prickly -0.9 1.04403 [-2, -1, -1, -2, -1, 1, -2, -1, 1, -1] pricks -0.9 1.04403 [-2, 0, -1, -3, -1, 1, 0, -1, -1, -1] pricky -0.6 1.2 [-2, 1, -1, -2, -1, 2, 0, -1, -1, -1] pride 1.4 1.11355 [0, 2, 2, 2, 3, 1, -1, 2, 2, 1] prison -2.3 0.64031 [-3, -3, -2, -2, -1, -2, -3, -3, -2, -2] prisoner -2.5 1.0247 [-3, -1, -4, -4, -3, -2, -3, -2, -1, -2] prisoners -2.3 0.78102 [-3, -2, -3, -3, -1, -3, -2, -1, -2, -3] privilege 1.5 0.80623 [2, 1, 0, 1, 3, 1, 2, 2, 2, 1] privileged 1.9 0.9434 [2, 3, 3, 2, 3, 1, 1, 2, 0, 2] privileges 1.6 1.2 [2, 1, 3, 1, 2, 2, 0, 0, 4, 1] privileging 0.7 1.1 [1, 1, 2, 2, -1, 2, 1, 0, 0, -1] prize 2.3 1.1 [2, 2, 0, 4, 4, 3, 2, 2, 2, 2] prized 2.4 0.8 [3, 3, 3, 2, 3, 2, 1, 3, 1, 3] prizefight -0.1 1.13578 [-2, 2, 0, 0, 0, -2, 0, 1, 0, 0] prizefighter 1.0 1.0 [0, 2, 0, 0, 0, 2, 0, 2, 2, 2] prizefighters -0.1 1.04403 [0, 0, -3, 0, 0, 0, 0, 1, 1, 0] prizefighting 0.4 0.91652 [0, 0, 0, 1, 0, 3, 0, 0, 0, 0] prizefights 0.3 0.78102 [1, 2, 0, 0, -1, 0, 0, 1, 0, 0] prizer 1.0 1.0 [0, 3, 0, 0, 2, 1, 2, 1, 0, 1] prizers 0.8 0.9798 [2, 0, 0, 1, 3, 1, 0, 1, 0, 0] prizes 2.0 1.09545 [3, 3, 2, 0, 2, 1, 2, 4, 1, 2] prizewinner 2.3 1.00499 [3, 0, 3, 3, 2, 2, 2, 4, 2, 2] prizewinners 2.4 1.11355 [4, 2, 2, 2, 0, 4, 2, 3, 3, 2] prizewinning 3.0 0.7746 [3, 3, 3, 3, 3, 4, 3, 1, 3, 4] proactive 1.8 0.87178 [2, 3, 3, 1, 1, 1, 1, 3, 1, 2] problem -1.7 0.64031 [-2, -2, -1, -1, -1, -3, -1, -2, -2, -2] problematic -1.9 0.53852 [-1, -2, -2, -2, -2, -3, -2, -1, -2, -2] problematical -1.8 0.6 [-3, -1, -1, -2, -2, -2, -2, -2, -1, -2] problematically -2.0 1.0 [-2, -1, -3, -1, -1, -2, -4, -3, -1, -2] problematics -1.3 1.1 [0, -1, -1, 0, -2, -1, -4, -1, -2, -1] problems -1.7 0.78102 [-2, -1, -1, -3, -2, -1, -3, -1, -1, -2] profit 1.9 0.7 [2, 3, 2, 1, 2, 1, 3, 1, 2, 2] profitabilities 1.1 0.7 [1, 1, 3, 1, 1, 1, 1, 0, 1, 1] profitability 1.1 1.44568 [1, 1, -2, 2, 0, 3, 1, 3, 2, 0] profitable 1.9 0.9434 [2, 3, 0, 3, 1, 2, 1, 3, 2, 2] profitableness 2.4 1.11355 [1, 4, 2, 4, 2, 2, 4, 2, 1, 2] profitably 1.6 0.91652 [1, 2, 0, 3, 1, 3, 1, 1, 2, 2] profited 1.3 1.00499 [2, 2, 2, 1, 0, 0, 1, 3, 0, 2] profiteer 0.8 1.6 [2, -2, -1, 3, -1, 2, 1, 2, 0, 2] profiteered -0.5 1.9105 [0, 0, 2, -2, -3, -2, 3, 0, -3, 0] profiteering -0.6 2.05913 [-1, 2, -2, -4, -2, 2, 1, -2, 2, -2] profiteers 0.5 1.5 [-2, 1, -1, -1, 1, -1, 2, 2, 2, 2] profiter 0.7 1.55242 [2, 2, 2, 1, -1, 1, -1, 3, 0, -2] profiterole 0.4 0.66332 [0, 0, 0, 0, 0, 1, 0, 1, 2, 0] profiteroles 0.5 0.92195 [0, 0, -1, 2, 2, 0, 0, 1, 0, 1] profiting 1.6 0.91652 [1, 0, 3, 2, 1, 2, 3, 1, 1, 2] profitless -1.5 0.92195 [-2, -2, -3, -1, -1, -1, 0, -1, -1, -3] profits 1.9 1.04403 [2, 2, 1, 0, 2, 1, 2, 4, 3, 2] profitwise 0.9 0.83066 [1, 2, 0, 0, 1, 2, 2, 0, 1, 0] progressant 1.8 0.74833 [3, 2, 1, 2, 3, 1, 1, 2, 2, 1] prosperant 1.8 0.74833 [3, 2, 1, 2, 3, 1, 1, 2, 2, 1] prominent 1.3 0.45826 [2, 1, 1, 2, 1, 1, 1, 2, 1, 1] promiscuities -0.8 1.32665 [-1, 0, -2, -2, -1, 2, -3, -1, 0, 0] promiscuity -1.8 1.07703 [-1, -2, -4, -2, -3, -1, 0, -2, -1, -2] promiscuous -0.3 1.34536 [2, -3, -1, -1, 0, -1, 0, -1, 1, 1] promiscuously -1.5 1.28452 [-2, -1, -3, 2, -2, -2, -1, -2, -2, -2] promiscuousness -0.9 1.37477 [-3, -1, 1, -2, -2, 1, 1, -1, -2, -1] promise 1.3 0.64031 [1, 0, 1, 1, 2, 2, 1, 1, 2, 2] promised 1.5 0.92195 [2, 1, 1, 0, 0, 2, 2, 3, 2, 2] promisee 0.8 0.87178 [2, 1, 0, 0, 0, 2, 0, 2, 1, 0] promisees 1.1 0.9434 [2, 0, 1, 0, 0, 0, 2, 2, 2, 2] promiser 1.3 0.9 [2, 1, 1, 0, 0, 2, 2, 3, 1, 1] promisers 1.6 0.4899 [2, 1, 2, 1, 2, 1, 2, 1, 2, 2] promises 1.6 0.8 [2, 1, 1, 0, 2, 1, 3, 2, 2, 2] promising 1.7 0.45826 [1, 2, 2, 1, 2, 2, 1, 2, 2, 2] promisingly 1.2 0.6 [2, 2, 1, 1, 1, 2, 1, 0, 1, 1] promisor 1.0 0.63246 [2, 2, 0, 1, 1, 1, 0, 1, 1, 1] promisors 0.4 0.8 [0, 0, 0, 2, 0, 2, 0, 0, 0, 0] promissory 0.9 1.13578 [2, 0, 0, 3, 0, 2, 2, 0, 0, 0] promote 1.6 0.8 [2, 1, 2, 3, 0, 1, 2, 2, 1, 2] promoted 1.8 0.74833 [2, 2, 1, 1, 1, 2, 2, 1, 3, 3] promotes 1.4 0.91652 [1, 2, 0, 0, 1, 2, 2, 1, 3, 2] promoting 1.5 0.67082 [1, 2, 2, 1, 2, 1, 2, 0, 2, 2] propaganda -1.0 1.54919 [-2, -3, -2, -3, -2, 1, -1, 1, 0, 1] prosecute -1.7 1.00499 [-2, -2, -2, -1, -1, -2, 0, -1, -4, -2] prosecuted -1.6 1.95959 [-2, -2, -2, -3, -3, -3, -4, 2, 2, -1] prosecutes -1.8 1.53623 [-2, -2, -2, -3, -2, -2, -4, 1, 1, -3] prosecution -2.2 1.07703 [-4, -1, -2, -2, -3, -2, -1, -4, -1, -2] prospect 1.2 0.87178 [1, 3, 1, 0, 2, 2, 1, 0, 1, 1] prospects 1.2 0.6 [2, 1, 1, 1, 1, 0, 1, 2, 2, 1] prosperous 2.1 1.86815 [-3, 3, 3, 2, 4, 2, 3, 3, 3, 1] protect 1.6 0.8 [1, 3, 1, 1, 1, 1, 3, 2, 1, 2] protected 1.9 0.7 [1, 1, 2, 3, 2, 2, 2, 1, 3, 2] protects 1.3 0.78102 [2, 2, 0, 2, 1, 1, 0, 2, 2, 1] protest -1.0 1.34164 [-2, -1, -1, -2, -1, -2, 1, -2, 2, -2] protested -0.5 1.62788 [-2, -3, -1, -1, 0, 2, 2, -2, 1, -1] protesters -0.9 0.7 [0, 0, 0, -1, -2, -2, -1, -1, -1, -1] protesting -1.8 0.74833 [-2, -2, -1, -2, -1, -1, -2, -1, -3, -3] protests -0.9 1.57797 [-2, -2, 2, 0, -1, -2, -2, -2, 2, -2] proud 2.1 0.3 [2, 3, 2, 2, 2, 2, 2, 2, 2, 2] prouder 2.2 1.16619 [2, 3, 3, 4, 0, 1, 1, 3, 2, 3] proudest 2.6 0.66332 [4, 2, 2, 2, 2, 3, 2, 3, 3, 3] proudful 1.9 1.51327 [3, 3, 0, 1, -1, 1, 4, 3, 2, 3] proudhearted 1.4 0.91652 [2, -1, 1, 2, 2, 1, 2, 2, 2, 1] proudly 2.6 0.4899 [2, 2, 3, 3, 2, 3, 3, 3, 2, 3] provoke -1.7 0.64031 [-2, -2, -1, -1, -1, -2, -2, -1, -3, -2] provoked -1.1 0.83066 [-1, -1, 0, -2, -2, -2, -2, 0, 0, -1] provokes -1.3 0.78102 [-2, -2, -1, -2, -1, -2, -2, 0, 0, -1] provoking -0.8 1.249 [-2, -2, -1, -2, 1, -1, 1, 1, -1, -2] pseudoscience -1.2 1.32665 [-1, -1, -3, -4, 0, 0, -2, 0, 0, -1] puke -2.4 1.0198 [-1, -3, -3, -2, -4, -4, -2, -1, -2, -2] puked -1.8 0.6 [-1, -2, -2, -3, -1, -1, -2, -2, -2, -2] pukes -1.9 0.7 [-1, -2, -3, -3, -1, -1, -2, -2, -2, -2] puking -1.8 1.46969 [0, -2, -4, -3, -2, -3, 1, -1, -1, -3] pukka 2.8 0.4 [3, 2, 3, 3, 3, 2, 3, 3, 3, 3] punish -2.4 0.91652 [-1, -3, -3, -4, -3, -1, -2, -2, -2, -3] punishabilities -1.7 0.78102 [0, -2, -3, -2, -1, -2, -2, -1, -2, -2] punishability -1.6 1.49666 [-2, -2, -1, -1, -2, -2, -3, 2, -4, -1] punishable -1.9 0.7 [-3, -1, -1, -2, -2, -1, -3, -2, -2, -2] punished -2.0 0.44721 [-2, -2, -1, -2, -2, -2, -2, -2, -3, -2] punisher -1.9 0.53852 [-3, -1, -2, -2, -2, -2, -2, -1, -2, -2] punishers -2.6 0.8 [-3, -3, -3, -3, -2, -2, -4, -2, -1, -3] punishes -2.1 0.7 [-3, -2, -3, -2, -1, -2, -2, -3, -1, -2] punishing -2.6 0.8 [-2, -3, -3, -3, -4, -1, -3, -2, -2, -3] punishment -2.2 0.6 [-2, -1, -2, -2, -3, -3, -2, -2, -2, -3] pena -2.2 0.6 [-2, -1, -2, -2, -3, -3, -2, -2, -2, -3] punishments -1.8 0.6 [-2, -2, -2, -1, -1, -2, -2, -3, -1, -2] punitive -2.3 0.78102 [-4, -2, -3, -1, -2, -2, -2, -2, -3, -2] pushy -1.1 0.83066 [-2, -2, -1, -1, -1, 1, -1, -2, -1, -1] puzzled -0.7 0.45826 [0, 0, -1, -1, 0, -1, -1, -1, -1, -1] quaking -1.5 0.67082 [-1, -2, -2, -2, -1, 0, -2, -1, -2, -2] questionable -1.2 0.4 [-1, -1, -1, -1, -1, -1, -1, -2, -2, -1] questioned -0.4 1.0198 [-2, 0, 0, -1, -1, 2, 0, 0, -1, -1] questioning -0.4 0.66332 [0, -1, -1, 0, 0, 0, -2, 0, 0, 0] racism -3.1 0.9434 [-4, -4, -4, -2, -3, -4, -2, -2, -2, -4] racist -3.0 0.89443 [-1, -3, -3, -4, -3, -4, -4, -2, -3, -3] racists -2.5 0.92195 [-3, 0, -3, -2, -2, -3, -3, -3, -3, -3] radian 0.4 0.66332 [0, 0, 0, 0, 0, 0, 1, 2, 0, 1] radiance 1.4 1.11355 [3, 1, 2, 3, 1, 1, -1, 1, 2, 1] radiances 1.1 0.53852 [1, 2, 2, 1, 1, 1, 0, 1, 1, 1] radiancies 0.8 1.16619 [-1, 0, 3, 1, 1, 1, 1, 2, -1, 1] radiancy 1.4 0.66332 [2, 1, 1, 3, 1, 1, 1, 1, 2, 1] radians 0.2 0.6 [0, 2, 0, 0, 0, 0, 0, 0, 0, 0] radiant 2.1 0.83066 [4, 2, 2, 2, 2, 1, 1, 3, 2, 2] radiantly 1.3 0.78102 [3, 2, 1, 1, 1, 1, 1, 0, 1, 2] radiants 1.2 0.6 [2, 1, 0, 2, 1, 1, 1, 2, 1, 1] rage -2.6 0.8 [-3, -2, -2, -3, -3, -4, -1, -2, -3, -3] raged -2.0 0.63246 [-2, -1, -1, -3, -3, -2, -2, -2, -2, -2] ragee -0.4 1.42829 [-2, -1, 0, 3, 0, -2, -2, 0, 0, 0] rageful -2.8 0.6 [-3, -3, -3, -3, -2, -4, -2, -3, -2, -3] rages -2.1 0.7 [-3, -1, -1, -3, -3, -2, -2, -2, -2, -2] raging -2.4 1.0198 [-1, -3, -3, -1, -3, -3, -1, -4, -2, -3] rainy -0.3 0.64031 [-1, 0, 1, 0, 0, 0, -1, 0, -1, -1] rancid -2.5 1.11803 [-3, -3, -3, -2, -3, 0, -3, -1, -4, -3] rancidity -2.6 0.8 [-4, -3, -3, -2, -2, -2, -2, -2, -2, -4] rancidly -2.5 1.20416 [-2, -1, -4, -3, -4, -1, -2, -3, -4, -1] rancidness -2.6 0.91652 [-3, -4, -2, -3, -4, -2, -3, -1, -2, -2] rancidnesses -1.6 0.4899 [-2, -1, -2, -1, -1, -2, -2, -2, -1, -2] rant -1.4 0.66332 [-1, -2, -2, -1, -2, -2, -2, -1, 0, -1] ranter -1.2 1.16619 [-1, -2, -2, -2, -1, -1, -1, -2, 2, -2] ranters -1.2 0.87178 [-1, -1, -1, 0, -1, -1, -3, -2, 0, -2] rants -1.3 0.45826 [-1, -1, -1, -2, -1, -1, -1, -2, -2, -1] rape -3.7 0.64031 [-4, -2, -4, -4, -4, -4, -4, -4, -3, -4] raped -3.6 0.4899 [-3, -3, -4, -4, -3, -4, -4, -4, -3, -4] raper -3.4 0.66332 [-3, -3, -4, -4, -3, -3, -4, -4, -2, -4] rapers -3.6 0.66332 [-2, -4, -4, -3, -4, -3, -4, -4, -4, -4] rapes -3.5 0.67082 [-4, -3, -4, -4, -3, -4, -4, -3, -2, -4] rapeseeds -0.5 1.20416 [0, 0, 0, 0, 0, -4, 0, 0, -1, 0] raping -3.8 0.4 [-3, -4, -4, -4, -4, -4, -4, -4, -3, -4] rapist -3.9 0.3 [-4, -4, -4, -4, -4, -4, -3, -4, -4, -4] rapists -3.3 0.64031 [-3, -3, -4, -3, -4, -3, -4, -2, -4, -3] rapture 0.6 2.2891 [-2, 2, -2, 3, 3, 4, -1, -1, 2, -2] raptured 0.9 1.97231 [0, -2, 0, 2, 4, -1, 4, -1, 1, 2] raptures 0.7 2.05183 [0, -2, 0, 2, 4, -2, 4, -1, 1, 1] rapturous 1.7 1.95192 [3, 4, 0, 3, 2, 2, 4, -2, -1, 2] rash -1.7 0.78102 [-2, -1, -1, -3, -2, -2, -1, -1, -1, -3] ratified 0.6 0.4899 [1, 0, 0, 1, 1, 0, 1, 1, 0, 1] reach 0.1 0.3 [0, 0, 0, 0, 0, 0, 0, 1, 0, 0] reached 0.4 0.4899 [1, 0, 0, 0, 1, 1, 0, 1, 0, 0] reaches 0.2 0.4 [0, 0, 0, 1, 0, 1, 0, 0, 0, 0] reaching 0.8 0.6 [1, 0, 2, 0, 1, 0, 1, 1, 1, 1] readiness 1.0 0.63246 [1, 1, 1, 1, 0, 1, 2, 1, 2, 0] ready 1.5 1.0247 [2, 1, 1, 0, 2, 2, 1, 1, 1, 4] reassurance 1.5 0.5 [1, 1, 1, 1, 2, 1, 2, 2, 2, 2] reassurances 1.4 0.8 [0, 1, 1, 2, 1, 1, 1, 2, 3, 2] reassure 1.4 0.4899 [2, 2, 1, 1, 2, 1, 2, 1, 1, 1] reassured 1.7 0.45826 [2, 1, 1, 1, 2, 2, 2, 2, 2, 2] reassures 1.5 0.92195 [2, 1, 1, 2, 2, 2, -1, 2, 2, 2] reassuring 1.7 1.48661 [3, 3, 2, -2, 1, 3, 3, 2, 1, 1] reassuringly 1.8 0.87178 [1, 3, 2, 1, 2, 3, 3, 1, 1, 1] rebel -0.6 1.49666 [-2, -1, -1, 0, -2, -1, 2, 1, 1, -3] rebeldom -1.5 1.0247 [-2, -2, -1, -3, -2, -2, -1, 1, -1, -2] rebelled -1.0 1.26491 [-2, -2, 0, -2, 0, -2, -2, -1, -1, 2] rebelling -1.1 1.51327 [-3, -1, -2, -1, -2, -1, -1, -3, 2, 1] rebellion -0.5 1.80278 [-2, -2, -1, -1, 3, -1, 1, -3, 2, -1] rebellions -1.1 1.57797 [-2, -4, -3, 0, 0, -1, 1, -2, -1, 1] rebellious -1.2 1.249 [-2, -1, -3, -1, -2, -2, 1, -1, 1, -2] rebelliously -1.8 0.87178 [-3, 0, -2, -2, -1, -2, -3, -1, -2, -2] rebelliousness -1.2 1.16619 [0, -3, -1, -2, 1, -1, -2, 0, -2, -2] rebels -0.8 1.07703 [-1, 0, 0, -2, 0, -3, 0, 0, 0, -2] recession -1.8 1.07703 [-3, -1, -4, -2, -1, -1, -1, -1, -3, -1] reckless -1.7 0.64031 [-2, -1, -1, -3, -1, -2, -1, -2, -2, -2] recommend 1.5 0.67082 [1, 1, 1, 1, 2, 3, 2, 2, 1, 1] recommended 0.8 1.07703 [1, 1, 0, -2, 1, 2, 1, 2, 1, 1] recommends 0.9 0.9434 [1, 1, 2, 0, 0, 2, 1, -1, 2, 1] redeemed 1.3 0.9 [2, 1, 2, 2, 1, -1, 2, 1, 2, 1] reek -2.4 0.66332 [-3, -3, -2, -3, -3, -2, -2, -2, -1, -3] reeked -2.0 1.09545 [-4, -3, -2, -3, -1, -2, 0, -1, -2, -2] reeker -1.7 1.1 [0, -2, -1, 0, -3, -3, -2, -1, -3, -2] reekers -1.5 1.0247 [-3, 0, 0, 0, -2, -2, -2, -2, -2, -2] reeking -2.0 1.48324 [2, -2, -2, -3, -3, -3, -1, -3, -3, -2] refuse -1.2 0.4 [-1, -1, -1, -1, -1, -1, -1, -2, -2, -1] refused -1.2 0.74833 [0, -1, -1, -1, -1, -1, -2, -1, -3, -1] refusing -1.7 0.64031 [-1, -1, -1, -2, -2, -2, -3, -1, -2, -2] regret -1.8 0.6 [-2, -2, -2, -2, -1, -3, -1, -1, -2, -2] regretful -1.9 0.83066 [-1, -2, -1, -2, -1, -2, -1, -3, -3, -3] regretfully -1.9 0.83066 [-1, -1, -1, -3, -2, -3, -1, -3, -2, -2] regretfulness -1.6 0.66332 [-1, -3, -1, -1, -1, -2, -1, -2, -2, -2] regrets -1.5 0.5 [-2, -2, -2, -1, -2, -1, -1, -2, -1, -1] regrettable -2.3 0.78102 [-3, -1, -2, -1, -3, -2, -3, -3, -2, -3] regrettably -2.0 0.63246 [-2, -3, -1, -3, -2, -1, -2, -2, -2, -2] regretted -1.6 0.4899 [-2, -1, -2, -2, -2, -2, -1, -1, -1, -2] regretter -1.6 0.66332 [-2, -1, -2, -2, -3, -2, -1, -1, -1, -1] regretters -2.0 0.89443 [-1, -2, -2, -2, -4, -3, -1, -1, -2, -2] regretting -1.7 0.78102 [-3, -2, -2, -1, -3, -1, -1, -1, -2, -1] reinvigorate 2.3 0.78102 [3, 3, 3, 2, 3, 1, 2, 1, 2, 3] reinvigorated 1.9 1.13578 [2, 2, 3, 1, 2, 3, 3, -1, 2, 2] reinvigorates 1.8 0.9798 [2, 2, 3, 0, 2, 2, 3, 0, 2, 2] reinvigorating 1.7 0.64031 [1, 2, 1, 1, 2, 2, 2, 1, 3, 2] reinvigoration 2.2 0.4 [2, 2, 2, 3, 2, 3, 2, 2, 2, 2] reject -1.7 0.64031 [-1, -2, -2, -2, -1, -3, -1, -1, -2, -2] rejected -2.3 0.45826 [-3, -2, -3, -3, -2, -2, -2, -2, -2, -2] rejectee -2.3 0.45826 [-3, -2, -2, -3, -2, -3, -2, -2, -2, -2] rejectees -1.8 0.4 [-2, -2, -1, -2, -2, -2, -2, -2, -2, -1] rejecter -1.6 0.66332 [-2, -1, -1, -3, -2, -2, -1, -1, -1, -2] rejecters -1.8 0.6 [-2, -3, -1, -1, -2, -1, -2, -2, -2, -2] rejecting -2.0 0.7746 [-1, -2, -3, -1, -2, -3, -2, -1, -3, -2] rejectingly -1.7 0.64031 [-1, -2, -2, -2, -1, -2, -2, -1, -3, -1] rejection -2.5 0.67082 [-3, -3, -2, -4, -3, -2, -2, -2, -2, -2] rejections -2.1 0.53852 [-3, -2, -2, -2, -1, -2, -3, -2, -2, -2] rejective -1.8 0.6 [-3, -2, -2, -2, -1, -1, -2, -2, -1, -2] rejector -1.8 0.74833 [-2, -1, -2, -3, -1, -2, -1, -2, -3, -1] rejects -2.2 0.4 [-3, -2, -2, -2, -2, -3, -2, -2, -2, -2] rejoice 1.9 0.9434 [2, 3, 1, 3, 1, 3, 1, 3, 1, 1] rejoiced 2.0 0.63246 [2, 1, 2, 3, 2, 2, 3, 1, 2, 2] rejoices 2.1 0.7 [2, 1, 2, 3, 2, 3, 3, 2, 2, 1] rejoicing 2.8 0.4 [3, 3, 2, 3, 3, 3, 2, 3, 3, 3] relax 1.9 1.13578 [2, 1, 1, 1, 4, 4, 2, 1, 1, 2] relaxant 1.0 0.89443 [2, 1, 0, 0, 1, 0, 1, 3, 1, 1] relaxants 0.7 0.9 [0, 1, 1, 0, -1, 2, 1, 2, 1, 0] relaxation 2.4 0.4899 [3, 2, 3, 2, 2, 3, 3, 2, 2, 2] relaxations 1.0 0.89443 [-1, 0, 2, 1, 1, 2, 1, 2, 1, 1] relaxed 2.2 0.87178 [2, 3, 1, 3, 3, 3, 1, 2, 1, 3] relaxedly 1.5 0.5 [2, 2, 1, 1, 2, 1, 2, 2, 1, 1] relaxedness 2.0 0.63246 [2, 2, 3, 1, 3, 2, 2, 2, 1, 2] relaxer 1.6 0.8 [0, 2, 1, 2, 1, 3, 1, 2, 2, 2] relaxers 1.4 0.4899 [2, 1, 1, 1, 2, 2, 2, 1, 1, 1] relaxes 1.5 0.5 [2, 1, 1, 1, 1, 2, 2, 2, 1, 2] relaxin 1.7 0.64031 [2, 2, 1, 2, 0, 2, 2, 2, 2, 2] relaxing 2.2 0.6 [1, 2, 2, 2, 2, 3, 3, 3, 2, 2] relaxins 1.2 1.4 [1, 3, 2, 1, 0, 1, -2, 3, 2, 1] relentless 0.2 1.07703 [3, -1, 0, -1, 0, 1, 0, 0, 0, 0] reliant 0.5 1.20416 [0, 2, -1, 1, 0, 1, 2, -1, 2, -1] relief 2.1 0.53852 [2, 2, 2, 3, 2, 3, 2, 1, 2, 2] reliefs 1.3 0.78102 [1, 2, 2, 2, 2, 2, 0, 0, 1, 1] relievable 1.1 1.22066 [1, -2, 1, 1, 1, 1, 3, 2, 1, 2] relieve 1.5 0.5 [1, 2, 1, 2, 1, 1, 2, 2, 1, 2] relieved 1.6 0.66332 [2, 1, 2, 1, 1, 3, 2, 1, 1, 2] relievedly 1.4 0.4899 [1, 2, 1, 1, 1, 2, 2, 2, 1, 1] reliever 1.5 0.80623 [2, 1, 2, 2, 1, 2, 0, 1, 1, 3] relievers 1.0 0.63246 [1, 1, 1, 1, 2, 0, 2, 0, 1, 1] relieves 1.5 0.80623 [2, 1, 2, 2, 1, 2, 0, 1, 1, 3] relieving 1.5 1.0247 [2, 2, 1, 2, 3, -1, 2, 1, 1, 2] relievo 1.3 1.00499 [0, 2, 1, 2, 2, -1, 2, 2, 2, 1] relishing 1.6 0.8 [1, 2, 1, 3, 2, 3, 1, 1, 1, 1] reluctance -1.4 0.4899 [-2, -2, -1, -1, -1, -1, -2, -1, -2, -1] reluctancy -1.6 0.8 [-3, -2, -1, -1, -1, -1, -2, -1, -3, -1] reluctant -1.0 0.7746 [0, -1, 0, -1, -1, 0, -1, -2, -2, -2] reluctantly -0.4 1.42829 [-1, 2, -1, -2, -2, -1, 1, -1, 2, -1] remarkable 2.6 1.0198 [3, 4, 3, 2, 2, 3, 3, 0, 3, 3] remorse -1.1 1.51327 [-3, -1, -3, 1, 2, -2, -1, -1, -2, -1] remorseful -0.9 2.07123 [-1, 1, -2, -3, 2, -1, -3, -2, 3, -3] remorsefully -0.7 1.34536 [-1, -1, 0, -1, -2, -1, -1, 1, -3, 2] remorsefulness -0.7 1.61555 [-1, -2, 2, -2, -2, -1, 0, -3, 2, 0] remorseless -2.3 0.64031 [-4, -2, -2, -2, -3, -2, -2, -2, -2, -2] remorselessly -2.0 1.09545 [-3, -3, -3, -2, -1, -1, -4, -1, -1, -1] remorselessness -2.8 1.16619 [-3, -4, -2, -2, -3, -4, -1, -1, -4, -4] repetitiu -1.0 0.06325 [-1, -1, 0, -2, -1, -2, -1, -1, 0, -1] repress -1.4 0.66332 [-1, -1, -3, -2, -1, -1, -2, -1, -1, -1] reprimit -1.3 0.78102 [-1, 0, -3, -1, -1, -2, -1, -1, -2, -1] represses -1.3 1.00499 [-1, 0, -3, -1, 0, -3, -1, -1, -2, -1] repressible -1.5 0.92195 [-1, -2, -3, -1, 0, -1, -3, -1, -2, -1] repressing -1.8 0.6 [-1, -2, -2, -2, -1, -3, -2, -1, -2, -2] repression -1.6 0.91652 [-2, -2, -1, -1, -1, -1, -4, -1, -2, -1] repressions -1.7 1.00499 [-2, -3, -1, -2, -2, -3, -2, 0, 0, -2] repressiu -1.4 1.11355 [-3, -1, -1, -2, -1, -3, 1, -2, -1, -1] repressively -1.7 0.45826 [-2, -1, -2, -2, -2, -2, -2, -2, -1, -1] repressiveness -1.0 1.73205 [-2, -1, -2, -3, -1, -1, 1, -3, 3, -1] repressor -1.4 1.28062 [-1, 0, -3, -1, -2, -4, 0, -1, 0, -2] repressors -2.2 1.66132 [-2, -4, 0, -2, -1, -3, -4, -3, 1, -4] repressurize -0.3 0.64031 [0, 0, 0, 0, 0, 0, -2, 0, -1, 0] repressurized 0.1 0.3 [0, 0, 0, 0, 1, 0, 0, 0, 0, 0] repressurizes 0.1 0.3 [0, 0, 0, 0, 1, 0, 0, 0, 0, 0] repressurizing -0.1 0.3 [0, 0, 0, 0, -1, 0, 0, 0, 0, 0] repulse -2.8 0.4 [-3, -3, -3, -3, -2, -3, -3, -3, -2, -3] repulsed -2.2 0.9798 [0, -2, -2, -2, -3, -3, -1, -3, -3, -3] rescue 2.3 0.78102 [1, 3, 1, 3, 2, 3, 3, 2, 2, 3] rescued 1.8 1.53623 [3, 2, 2, -2, 3, 2, 1, 4, 1, 2] rescues 1.3 0.78102 [3, 2, 0, 2, 1, 1, 1, 1, 1, 1] resent -0.7 1.26886 [-2, -2, 0, -1, -1, -1, -2, 1, 2, -1] resented -1.6 1.35647 [-2, -3, -2, -2, -1, -1, 2, -3, -2, -2] resentence -1.0 0.7746 [-1, 0, -1, -1, 0, -2, -1, 0, -2, -2] resentenced -0.8 0.9798 [0, -2, -1, 0, -1, 0, 0, 0, -3, -1] resentences -0.6 0.8 [0, -2, -1, 0, -1, 0, 0, 0, -2, 0] resentencing 0.2 0.87178 [-1, -1, 0, 1, 0, 0, 1, 2, 0, 0] resentful -2.1 0.83066 [-3, -1, -2, -3, -1, -1, -3, -2, -2, -3] resentfully -1.4 1.11355 [-1, -2, -1, -1, -3, 1, -1, -3, -1, -2] resentfulness -2.0 0.7746 [-2, -2, -3, -3, -2, -3, -2, -1, -1, -1] resenting -1.2 1.72047 [-2, -1, -2, -2, -1, -3, -3, 2, 2, -2] resentment -1.9 0.83066 [-1, -3, -2, -3, -2, -3, -1, -1, -1, -2] resentments -1.9 0.7 [-2, -1, -2, -3, -1, -2, -2, -2, -1, -3] resents -1.2 1.32665 [-2, -1, -1, -3, 1, -1, 1, -3, -2, -1] resign -1.4 0.66332 [-2, -1, -3, -1, -1, -1, -1, -2, -1, -1] resignation -1.2 0.4 [-1, -1, -1, -2, -1, -1, -1, -1, -2, -1] resignations -1.2 0.6 [0, -1, -1, -2, -2, -2, -1, -1, -1, -1] resigned -1.0 0.63246 [-2, -1, 0, -1, -2, -1, -1, -1, 0, -1] resignedly -0.7 1.26886 [-3, -1, -1, -1, -1, 1, 1, 1, -2, -1] resignedness -0.8 1.07703 [-1, -2, 1, -2, -1, -1, 0, -2, -1, 1] resigner -1.2 0.6 [-2, -1, 0, -1, -2, -2, -1, -1, -1, -1] resigners -1.0 1.09545 [-1, 0, -1, -3, -1, 0, 0, -1, -3, 0] resigning -0.9 1.22066 [-1, -1, -1, -1, -1, 0, -1, -3, -2, 2] resigns -1.3 0.9 [0, -1, -1, 0, -2, -1, -3, -1, -2, -2] resolute 1.1 0.53852 [2, 1, 0, 1, 1, 1, 2, 1, 1, 1] resolvable 1.0 0.0 [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] resolve 1.6 0.66332 [2, 1, 1, 2, 2, 1, 3, 1, 1, 2] resolved 0.7 0.78102 [1, 2, 0, 1, 1, 0, 2, 0, 0, 0] resolvent 0.7 0.78102 [1, 0, 1, 2, 0, -1, 1, 1, 1, 1] resolvents 0.4 0.66332 [2, 0, 0, 1, 0, 0, 1, 0, 0, 0] resolver 0.7 0.78102 [1, 2, 0, 1, 1, 0, 2, 0, 0, 0] resolvers 1.4 0.4899 [2, 1, 2, 1, 1, 1, 2, 1, 2, 1] resolves 0.7 0.78102 [1, 2, 0, 1, 1, 0, 2, 0, 0, 0] resolving 1.6 0.4899 [2, 2, 1, 2, 2, 1, 1, 1, 2, 2] respect 2.1 0.53852 [2, 2, 2, 2, 3, 3, 2, 2, 1, 2] respectabilities 1.8 0.4 [2, 2, 2, 1, 2, 2, 2, 1, 2, 2] respectability 2.4 0.8 [4, 1, 3, 2, 3, 3, 2, 2, 2, 2] respectable 1.9 0.7 [2, 2, 2, 2, 1, 3, 3, 1, 1, 2] respectableness 1.2 1.32665 [2, 1, 1, 0, 3, 2, -2, 2, 2, 1] respectably 1.7 0.78102 [2, 2, 1, 3, 1, 3, 2, 1, 1, 1] respected 2.1 0.7 [2, 2, 1, 2, 3, 1, 2, 3, 3, 2] respecter 2.1 0.53852 [3, 2, 2, 2, 2, 2, 1, 3, 2, 2] respecters 1.6 0.8 [2, 1, 2, 2, 3, 1, 2, 2, 0, 1] respectful 2.0 0.7746 [1, 1, 3, 2, 2, 3, 1, 2, 3, 2] respectfully 1.7 0.64031 [1, 2, 1, 2, 2, 2, 1, 3, 1, 2] respectfulness 1.9 1.37477 [4, 2, 2, 1, 2, 4, -1, 1, 2, 2] respectfulnesses 1.3 1.18743 [1, 1, 2, 2, 2, 2, 2, 1, -2, 2] respecting 2.2 0.6 [1, 3, 2, 3, 2, 2, 3, 2, 2, 2] respective 1.8 1.16619 [2, 2, 3, 0, 1, 3, 3, 1, 0, 3] respectively 1.4 0.91652 [0, 0, 2, 2, 0, 2, 2, 2, 2, 2] respectiveness 1.1 1.04403 [0, 2, 1, 0, 1, 0, 2, 2, 0, 3] respects 1.3 1.00499 [2, 0, 0, 0, 2, 1, 2, 1, 2, 3] responsible 1.3 1.1 [1, 1, 0, 4, 2, 2, 1, 0, 1, 1] responsive 1.5 0.92195 [3, 1, 1, 0, 1, 1, 2, 3, 2, 1] restful 1.5 0.67082 [1, 1, 1, 1, 2, 1, 2, 1, 2, 3] restless -1.1 0.3 [-1, -1, -1, -1, -1, -1, -2, -1, -1, -1] restlessly -1.4 0.91652 [-1, -4, -1, -1, -1, -2, -1, -1, -1, -1] restlessness -1.2 0.74833 [-3, -1, -1, 0, -1, -2, -1, -1, -1, -1] restore 1.2 0.9798 [1, 1, 2, 2, 2, 2, 1, -1, 0, 2] restored 1.4 0.91652 [2, 2, 1, 2, 1, 2, 2, 1, -1, 2] restores 1.2 0.6 [2, 1, 1, 2, 1, 0, 1, 1, 2, 1] restoring 1.2 0.4 [2, 1, 1, 1, 1, 2, 1, 1, 1, 1] restrict -1.6 0.8 [-3, -1, -1, -1, -3, -1, -2, -1, -1, -2] restricted -1.6 0.4899 [-1, -2, -1, -1, -1, -2, -2, -2, -2, -2] restricting -1.6 0.4899 [-2, -2, -2, -2, -1, -2, -1, -1, -2, -1] restriction -1.1 0.9434 [-1, -1, -1, -1, -3, 1, -2, -1, -1, -1] restricts -1.3 1.1 [-2, -2, -3, -1, -1, -2, 1, -1, -2, 0] retained 0.1 0.7 [-1, 1, 1, 1, 0, -1, 0, 0, 0, 0] retard -2.4 0.8 [-2, -2, -2, -1, -3, -2, -4, -3, -3, -2] retarded -2.7 1.26886 [-4, -1, -3, -3, -4, -4, -2, -1, -1, -4] retirada 0.8 1.07703 [2, 2, 0, 0, -1, 1, 2, 0, 2, 0] aillament 0.8 1.07703 [2, 2, 0, 0, -1, 1, 2, 0, 2, 0] venjança -2.4 0.66332 [-2, -3, -2, -3, -3, -3, -2, -1, -2, -3] revenged -0.9 1.37477 [-2, -3, -2, -1, -1, 2, -1, 1, -1, -1] revengeful -2.4 0.4899 [-2, -2, -2, -3, -3, -2, -3, -3, -2, -2] revengefully -1.4 2.00998 [-3, -2, -2, -2, 3, 2, -3, -3, -2, -2] revengefulness -2.2 0.87178 [-2, -3, -3, -2, -2, -2, -1, -4, -1, -2] revenger -2.1 0.83066 [-2, -3, -2, -1, -1, -2, -3, -3, -1, -3] revengers -2.0 0.44721 [-2, -2, -3, -2, -2, -2, -1, -2, -2, -2] revenges -1.9 0.7 [-2, -3, -2, -1, -1, -2, -3, -2, -1, -2] revered 2.3 1.1 [3, 3, 1, 3, 3, 3, 0, 3, 3, 1] revive 1.4 1.11355 [4, 0, 2, 1, 1, 0, 2, 2, 1, 1] revives 1.6 0.4899 [1, 1, 2, 2, 1, 2, 2, 2, 1, 2] recompensa 2.7 0.78102 [3, 4, 1, 2, 3, 3, 2, 3, 3, 3] rewardable 2.0 1.0 [3, 1, 4, 3, 1, 2, 1, 2, 2, 1] rewarded 2.2 0.74833 [1, 2, 3, 2, 2, 4, 2, 2, 2, 2] rewarder 1.6 0.8 [1, 2, 3, 1, 1, 3, 2, 1, 1, 1] rewarders 1.9 0.83066 [1, 2, 2, 1, 3, 3, 1, 2, 1, 3] rewarding 2.4 0.8 [3, 4, 2, 2, 1, 3, 3, 2, 2, 2] rewardingly 2.4 0.8 [3, 2, 3, 4, 3, 2, 2, 2, 1, 2] rewards 2.1 0.83066 [2, 1, 3, 4, 2, 2, 2, 2, 1, 2] ric 2.6 0.8 [2, 3, 2, 4, 4, 3, 2, 2, 2, 2] richened 1.9 0.83066 [3, 2, 2, 1, 3, 1, 2, 3, 1, 1] richening 1.0 1.34164 [2, 2, 0, 0, -1, 1, 2, 3, -1, 2] richens 0.8 0.9798 [1, 0, 3, 0, 0, 0, 1, 2, 1, 0] richer 2.4 1.2 [1, 4, 2, 1, 2, 4, 4, 1, 3, 2] riches 2.4 1.0198 [2, 4, 1, 1, 2, 4, 3, 2, 3, 2] richest 2.4 1.11355 [4, 4, 2, 2, 3, 0, 2, 2, 3, 2] richly 1.9 0.53852 [2, 2, 2, 2, 3, 1, 2, 2, 1, 2] richness 2.2 0.74833 [2, 3, 2, 2, 2, 2, 2, 1, 4, 2] richnesses 2.1 0.9434 [2, 1, 2, 2, 3, 1, 3, 1, 4, 2] richweed 0.1 0.3 [0, 0, 0, 0, 0, 0, 0, 1, 0, 0] richweeds -0.1 0.3 [0, 0, 0, 0, 0, 0, 0, 0, 0, -1] ridicule -2.0 0.63246 [-2, -2, -2, -2, -3, -2, -1, -2, -1, -3] ridiculed -1.5 0.5 [-1, -1, -1, -2, -2, -2, -1, -2, -1, -2] ridiculer -1.6 0.91652 [-1, -1, -1, -2, -2, 0, -1, -3, -2, -3] ridiculers -1.6 0.66332 [-2, -1, -1, -2, -3, -2, -1, -2, -1, -1] ridicules -1.8 0.6 [-1, -1, -2, -2, -2, -2, -1, -2, -2, -3] ridiculing -1.8 0.6 [-2, -3, -2, -1, -1, -2, -2, -1, -2, -2] ridicul -1.5 0.67082 [-3, -2, -1, -1, -2, -1, -2, -1, -1, -1] ridiculament -1.4 0.8 [-1, -2, -1, 0, -2, -1, -1, -3, -1, -2] ridiculousness -1.1 1.51327 [-1, -1, -1, -2, -1, 3, -3, -2, -1, -2] ridiculousnesses -1.6 1.11355 [-3, 0, -2, -2, -1, -1, -1, -4, -1, -1] rig -0.5 1.0247 [0, 0, 0, 0, -2, 0, 0, 0, -3, 0] rigged -1.5 1.0247 [-2, -3, -2, -1, -1, -2, 1, -1, -2, -2] rigid -0.5 0.67082 [-2, -1, 0, 0, 0, 0, 0, -1, -1, 0] rigidification -1.1 0.9434 [-1, -2, 0, 0, 0, -2, -2, -2, 0, -2] rigidifications -0.8 0.9798 [-2, -1, 0, 0, -2, -1, 0, 1, -2, -1] rigidified -0.7 1.00499 [0, -1, 0, 0, 0, 0, -2, 0, -1, -3] rigidifies -0.6 0.8 [0, -1, 0, 0, 0, 0, -2, 0, -1, -2] rigidify -0.3 0.64031 [0, 0, 0, 0, -1, 0, 0, 0, -2, 0] rigidities -0.7 0.78102 [0, -1, 0, 0, 0, 0, -2, -1, -1, -2] rigidity -0.7 0.64031 [-1, 0, -1, 0, -1, 0, -2, 0, -1, -1] rigidly -0.7 0.45826 [-1, -1, -1, -1, 0, 0, -1, 0, -1, -1] rigidness -0.3 1.00499 [0, -1, -1, 0, 2, -1, -1, -1, 1, -1] rigorous -1.1 1.51327 [-2, -3, 1, 0, 1, 0, -1, -1, -3, -3] rigorously -0.4 1.28062 [0, 2, 1, 0, -1, 0, -1, -1, -3, -1] revolta -2.6 1.0198 [-3, 0, -3, -2, -3, -3, -3, -4, -3, -2] revoltes -2.6 1.0198 [-3, 0, -3, -2, -3, -3, -3, -4, -3, -2] disturbis -2.3 0.78102 [-2, -3, -3, -2, -1, -1, -3, -2, -3, -3] risc -1.1 0.7 [-1, -1, 0, -2, -1, 0, -2, -2, -1, -1] risked -0.9 0.7 [-1, -2, 0, 0, -1, 0, -2, -1, -1, -1] arriscat -0.8 0.4 [-1, -1, -1, 0, -1, 0, -1, -1, -1, -1] arriscada -0.8 0.4 [-1, -1, -1, 0, -1, 0, -1, -1, -1, -1] riskier -1.4 0.91652 [0, -3, -1, 0, -1, -2, -1, -2, -2, -2] riskiest -1.5 1.0247 [-2, -3, -1, -1, -3, 0, -1, -2, 0, -2] riskily -0.7 1.34536 [-1, -2, -1, -1, 3, 0, -1, -1, -1, -2] riskiness -1.3 1.00499 [-3, -1, -1, 0, -1, 0, -1, -3, -2, -1] riskinesses -1.6 0.91652 [-2, -1, -1, 0, -3, -1, -2, -1, -3, -2] risking -1.3 1.1 [0, 0, -2, 0, -1, -3, -3, -1, -2, -1] riskless 1.3 0.9 [2, 1, 0, 1, 1, 1, 2, 3, 0, 2] risks -1.1 0.9434 [-1, 0, -1, -1, 0, 0, -2, -1, -3, -2] risky -0.8 0.9798 [-1, 1, -1, -1, -1, 0, 0, -1, -3, -1] rob -2.6 0.8 [-2, -4, -3, -2, -3, -4, -2, -2, -2, -2] robber -2.6 1.0198 [-4, -1, -2, -3, -2, -1, -4, -3, -3, -3] robed -0.7 0.9 [-2, 0, 0, 0, 0, -2, 0, -2, -1, 0] robing -1.5 1.56525 [0, 0, 0, 0, -2, -3, -3, -4, -3, 0] robs -2.0 1.0 [-2, -1, -3, -2, -2, -1, -4, -3, -1, -1] robust 1.4 1.42829 [1, 0, 0, 1, 4, 0, 2, 3, 3, 0] roflcopter 2.1 0.53852 [2, 2, 2, 1, 3, 2, 3, 2, 2, 2] romance 2.6 0.66332 [2, 3, 4, 2, 3, 2, 3, 2, 3, 2] romanced 2.2 0.87178 [2, 3, 2, 4, 2, 1, 2, 3, 1, 2] romancer 1.3 1.1 [0, 0, 2, 2, 2, 2, 3, 2, 0, 0] romancers 1.7 1.00499 [0, 2, 2, 2, 2, 2, 1, 3, 0, 3] romances 1.3 0.9 [0, 1, 2, 2, 2, 2, 2, 2, 0, 0] romancing 2.0 0.89443 [4, 1, 1, 2, 2, 2, 2, 1, 3, 2] romantic 1.7 0.78102 [2, 2, 2, 1, 2, 3, 2, 2, 0, 1] romantically 1.8 0.87178 [3, 1, 2, 0, 1, 2, 2, 2, 3, 2] romanticise 1.7 1.61555 [-1, 4, 2, 1, 3, 1, 3, 3, 2, -1] romanticised 1.7 0.9 [2, 2, 2, 2, 2, 2, 3, 0, 2, 0] romanticises 1.3 1.1 [2, 2, 1, 1, 1, 2, 3, -1, 2, 0] romanticising 2.7 0.78102 [3, 3, 3, 2, 1, 3, 2, 3, 4, 3] romanticism 2.2 1.32665 [1, 4, 2, 1, 3, 1, 3, 3, 4, 0] romanticisms 2.1 0.9434 [2, 3, 2, 1, 2, 3, 3, 2, 3, 0] romanticist 1.9 1.3 [1, 4, 2, 0, 3, 1, 2, 3, 3, 0] romanticists 1.3 1.00499 [2, 0, 0, 1, 3, 3, 1, 1, 1, 1] romanticization 1.5 1.36015 [1, 3, 2, 2, -1, 2, 0, 1, 4, 1] romanticizations 2.0 1.0 [4, 1, 3, 1, 2, 3, 1, 2, 2, 1] romanticize 1.8 0.9798 [2, 2, 1, 1, 2, 1, 3, 3, 3, 0] romanticized 0.9 1.22066 [0, 1, 1, 3, -1, 0, 1, 1, 3, 0] romanticizes 1.8 0.87178 [2, 3, 2, 1, 2, 3, 0, 1, 2, 2] romanticizing 1.2 1.07703 [0, 1, 2, 1, 3, 0, 1, 1, 0, 3] romantics 1.9 0.83066 [2, 3, 2, 1, 0, 2, 3, 2, 2, 2] rotten -2.3 0.78102 [-2, -3, -1, -3, -3, -1, -3, -2, -3, -2] groller -2.0 0.44721 [-2, -1, -3, -2, -2, -2, -2, -2, -2, -2] grollerament -2.2 0.87178 [-3, -2, -3, -1, -2, -4, -2, -2, -1, -2] rudeness -1.5 0.67082 [-2, -1, -1, -1, -1, -3, -2, -2, -1, -1] ruder -2.1 0.83066 [-2, -1, -4, -2, -3, -1, -2, -2, -2, -2] ruderal -0.8 1.46969 [-3, 0, -1, -2, 0, -1, -3, 0, 2, 0] ruderals -0.4 0.66332 [0, -1, 0, -2, 0, -1, 0, 0, 0, 0] rudesby -2.0 0.7746 [-2, -3, -2, -2, -1, -3, -1, -1, -2, -3] rudest -2.5 0.5 [-3, -2, -3, -3, -2, -2, -2, -3, -2, -3] ruin -2.8 0.87178 [-3, -3, -1, -4, -4, -3, -3, -2, -2, -3] ruinable -1.6 0.8 [-1, -2, -1, -3, -1, -3, -1, -1, -2, -1] ruinate -2.8 0.87178 [-4, -4, -3, -3, -1, -3, -3, -3, -2, -2] ruinated -1.5 1.56525 [0, -4, 0, -4, -1, -2, 0, -1, -3, 0] ruinates -1.5 1.56525 [0, -4, 0, -4, -1, -2, 0, -1, -3, 0] ruinating -1.5 1.20416 [-2, -2, -2, -3, 0, -1, 1, -3, -1, -2] ruination -2.7 1.00499 [-4, -4, -3, -3, -2, -1, -3, -3, -3, -1] ruinations -1.6 1.35647 [-2, -2, -3, -4, 0, -1, 1, -2, -1, -2] ruined -2.1 0.7 [-3, -2, -2, -1, -2, -2, -3, -3, -1, -2] ruiner -2.0 0.63246 [-1, -3, -2, -2, -1, -2, -3, -2, -2, -2] ruing -1.6 0.91652 [-2, -1, -2, -1, -1, -1, -3, 0, -3, -2] ruining -1.0 1.94936 [-3, -3, 0, -2, 1, -3, 2, -2, 2, -2] ruinous -2.7 0.78102 [-2, -3, -3, -3, -3, -4, -2, -3, -1, -3] ruinously -2.6 0.8 [-3, -2, -2, -3, -1, -3, -4, -2, -3, -3] ruinousness -1.0 1.09545 [-1, -2, -3, -1, -1, -2, 1, 0, -1, 0] ruins -1.9 0.9434 [-1, -2, -1, -2, -1, -2, -4, -1, -3, -2] sabotage -2.4 0.91652 [-3, -3, -3, -2, -2, -4, -2, -3, -1, -1] trist -2.1 0.9434 [-1, -1, -2, -2, -3, -2, -3, -2, -4, -1] sadden -2.6 0.4899 [-2, -3, -2, -3, -2, -3, -2, -3, -3, -3] saddened -2.4 0.4899 [-3, -2, -3, -2, -3, -3, -2, -2, -2, -2] saddening -2.2 0.4 [-3, -2, -2, -2, -2, -2, -3, -2, -2, -2] saddens -1.9 0.7 [-3, -1, -1, -1, -2, -2, -2, -2, -3, -2] sadder -2.4 0.91652 [-2, -2, -3, -4, -3, -1, -3, -1, -2, -3] saddest -3.0 0.63246 [-4, -3, -2, -3, -3, -2, -3, -4, -3, -3] sadly -1.8 0.6 [-2, -2, -2, -1, -2, -3, -2, -1, -1, -2] sadness -1.9 0.3 [-2, -1, -2, -2, -2, -2, -2, -2, -2, -2] segur 1.9 0.3 [2, 1, 2, 2, 2, 2, 2, 2, 2, 2] safecracker -0.7 1.61555 [-3, -2, 0, -3, 0, -2, 0, 1, 2, 0] safecrackers -0.9 1.04403 [-1, 0, -2, 0, -1, 0, 0, -3, 0, -2] safecracking -0.9 0.9434 [0, 0, 0, 0, -2, 0, -1, -2, -2, -2] safecrackings -0.7 1.67631 [-2, -1, -2, -4, 2, -1, -1, 0, 1, 1] safeguard 1.6 0.4899 [2, 2, 1, 1, 1, 2, 2, 2, 2, 1] safeguarded 1.5 0.92195 [1, 2, 2, 0, 2, 0, 3, 1, 2, 2] safeguarding 1.1 0.7 [2, 1, 1, 0, 1, 0, 2, 1, 1, 2] safeguards 1.4 0.66332 [1, 2, 1, 1, 0, 2, 2, 2, 2, 1] safekeeping 1.4 0.66332 [3, 1, 1, 2, 1, 1, 2, 1, 1, 1] safelight 1.1 1.22066 [0, 3, 0, 2, 0, 3, 0, 2, 1, 0] safelights 0.8 1.07703 [0, 3, 1, 0, 0, 2, 0, 2, 0, 0] safely 2.2 0.74833 [2, 2, 2, 3, 4, 2, 2, 1, 2, 2] safeness 1.5 0.67082 [1, 1, 1, 1, 3, 1, 2, 2, 2, 1] safer 1.8 0.6 [2, 1, 2, 3, 2, 2, 1, 1, 2, 2] safes 0.4 0.8 [0, 0, 2, 0, 0, 0, 0, 0, 2, 0] safest 1.7 1.61555 [2, 2, 2, 2, -3, 3, 3, 2, 2, 2] safeties 1.5 1.0247 [2, 0, 1, 3, 2, 1, 3, 1, 0, 2] seguretat 1.8 0.6 [2, 2, 2, 2, 1, 1, 2, 3, 1, 2] safetyman 0.3 0.64031 [0, 0, 0, 0, 2, 0, 1, 0, 0, 0] salient 1.1 1.22066 [1, 3, 0, -1, 0, 1, 2, 1, 1, 3] sappy -1.0 1.18322 [-2, -1, 2, -2, -2, 0, -1, -1, -2, -1] sarcasm -0.9 0.7 [0, -2, -1, -1, 0, 0, -1, -1, -2, -1] sarcasms -0.9 0.7 [0, -1, 0, -1, -1, -2, 0, -1, -1, -2] sarcastic -1.0 0.7746 [-1, -1, -1, -1, -1, -1, -1, -2, 1, -2] sarcastically -1.1 1.37477 [-1, -4, 1, -1, -1, -2, 1, -2, -1, -1] satisfaction 1.9 0.9434 [1, 3, 2, 4, 2, 1, 1, 1, 2, 2] satisfactions 2.1 0.7 [3, 3, 3, 1, 2, 2, 1, 2, 2, 2] satisfactorily 1.6 1.11355 [1, 2, 2, -1, 2, 1, 3, 3, 1, 2] satisfactoriness 1.5 0.5 [1, 2, 1, 2, 2, 1, 2, 1, 2, 1] satisfactory 1.5 0.67082 [2, 3, 1, 1, 1, 2, 2, 1, 1, 1] satisfiable 1.9 0.83066 [3, 1, 2, 1, 2, 3, 1, 2, 3, 1] satisfet 1.8 0.6 [2, 2, 2, 1, 1, 2, 3, 1, 2, 2] satisfies 1.8 0.6 [3, 1, 2, 1, 1, 2, 2, 2, 2, 2] satisfy 2.0 0.63246 [3, 2, 2, 2, 2, 1, 1, 2, 3, 2] satisfying 2.0 1.48324 [2, 3, 2, 1, 3, 3, 3, 2, -2, 3] satisfyingly 1.9 0.9434 [1, 2, 2, 1, 2, 1, 4, 1, 3, 2] salvatge -2.0 1.73205 [-3, -4, -3, 1, -2, -1, -3, -4, -2, 1] savaged -2.0 1.34164 [-1, 0, -4, -3, -3, -3, -2, 0, -1, -3] savagely -2.2 0.74833 [-2, -1, -3, -2, -2, -1, -2, -3, -3, -3] savageness -2.6 1.0198 [-3, -1, -2, -3, -2, -1, -4, -4, -3, -3] savagenesses -0.9 1.86815 [-2, 3, -1, -3, -2, 2, -3, -1, -1, -1] savageries -1.9 1.75784 [-3, 1, -3, -4, -3, 1, -2, -3, 0, -3] savagery -2.5 1.62788 [-2, -3, -3, -3, 2, -3, -3, -4, -4, -2] savages -2.4 1.0198 [-2, -2, -3, -4, -3, -3, -2, 0, -2, -3] save 2.2 1.16619 [1, 3, 3, 1, 2, 1, 2, 4, 1, 4] saved 1.8 0.6 [1, 2, 2, 2, 1, 3, 2, 2, 1, 2] estafa -2.7 0.64031 [-2, -3, -3, -3, -2, -2, -4, -3, -3, -2] estafes -2.8 0.87178 [-3, -1, -3, -4, -4, -3, -2, -2, -3, -3] escandal -1.9 1.81384 [-3, -2, -2, -4, 3, -3, -3, -1, -2, -2] escandalos -2.4 0.8 [-2, -1, -3, -2, -4, -2, -3, -3, -2, -2] escandalosos -2.2 0.9798 [-2, -3, -3, -2, -1, 0, -3, -3, -2, -3] scapegoat -1.7 0.64031 [-3, -2, -2, -2, -1, -1, -1, -2, -1, -2] scapegoats -1.4 0.8 [-1, -2, -2, -1, 0, -2, -2, 0, -2, -2] asustar -2.2 0.87178 [-2, -2, -4, -2, -3, -1, -2, -1, -2, -3] scarecrow -0.8 0.9798 [-1, 0, -1, 0, 0, 0, -2, -3, -1, 0] scarecrows -0.7 1.1 [2, 0, -1, -1, -1, -2, -1, -2, 0, -1] espantat -1.9 0.7 [-1, -1, -2, -3, -2, -3, -1, -2, -2, -2] espantada -1.9 0.7 [-1, -1, -2, -3, -2, -3, -1, -2, -2, -2] scaremonger -2.1 0.53852 [-1, -2, -2, -3, -2, -2, -3, -2, -2, -2] scaremongers -2.0 1.0 [-2, -2, 0, -4, -2, -2, -1, -2, -3, -2] scarer -1.7 0.78102 [-2, -1, -1, -2, -3, -1, -3, -1, -2, -1] scarers -1.3 0.9 [-1, -2, -1, 0, 0, -1, -3, -2, -1, -2] scares -1.4 0.4899 [-1, -1, -2, -1, -1, -2, -1, -2, -2, -1] scarey -1.7 0.64031 [-1, -1, -2, -2, -1, -2, -1, -2, -3, -2] scaring -1.9 1.22066 [-3, -2, -1, -3, -1, -3, -2, -2, 1, -3] scary -2.2 0.87178 [-2, -1, -4, -3, -3, -2, -2, -2, -2, -1] esceptic -1.0 0.89443 [-3, 0, -1, -1, -1, 0, 0, -2, -1, -1] sceptical -1.2 0.4 [-1, -1, -1, -1, -1, -1, -1, -2, -2, -1] escepticisme -0.8 0.87178 [-1, -2, -2, 0, 0, -1, 1, -1, -1, -1] esceptics -0.7 0.78102 [0, 0, 0, -1, -2, 0, -1, -1, 0, -2] scold -1.7 0.78102 [-2, -1, -1, -1, -3, -3, -2, -2, -1, -1] primicia 0.6 0.8 [0, 0, 1, 0, 2, 0, 2, 0, 1, 0] scorn -1.7 0.64031 [-2, -3, -2, -1, -1, -1, -1, -2, -2, -2] scornful -1.8 1.16619 [-3, -3, -2, -1, -4, 0, -2, -1, -1, -1] crit -1.7 0.78102 [0, -3, -1, -1, -2, -2, -2, -2, -2, -2] screamed -1.3 1.1 [-2, -3, -2, -1, -1, -2, -2, -1, 1, 0] cridaners -1.5 0.92195 [-2, -1, -2, -2, -2, -2, -1, -2, 1, -2] cridaneres -1.5 0.92195 [-2, -1, -2, -2, -2, -2, -1, -2, 1, -2] cridant -1.6 0.8 [0, -1, -1, -2, -3, -1, -2, -2, -2, -2] screams -1.2 0.9798 [-1, -2, -2, -1, -1, -2, 1, -2, 0, -2] vis -0.4 0.91652 [-1, -2, -1, 0, 0, 1, 0, -1, 1, -1] screwball -0.2 0.87178 [0, -1, 0, 0, 1, 1, -1, 0, -2, 0] screwballs -0.3 1.00499 [-2, 0, -2, -1, 0, 1, 0, 1, 0, 0] screwbean 0.3 0.64031 [0, 0, 0, 0, 0, 1, 0, 2, 0, 0] screwdriver 0.3 0.45826 [1, 0, 0, 0, 0, 1, 0, 0, 1, 0] tornavis 0.1 0.53852 [-1, 0, 0, 1, 0, 0, 0, 1, 0, 0] atornillat -2.2 0.4 [-2, -2, -2, -2, -2, -3, -3, -2, -2, -2] screwed up -1.5 0.67082 [-2, -2, -2, -1, -1, 0, -2, -1, -2, -2] screwer -1.2 0.87178 [-1, -2, -1, -2, 0, 0, -2, 0, -2, -2] screwers -0.5 1.5 [-2, -2, 0, -2, 0, 2, 2, -1, 0, -2] screwier -0.6 1.2 [0, -1, 2, -2, -1, -2, -1, -1, 1, -1] screwiest -2.0 0.89443 [-3, -2, -2, -4, -1, -2, -1, -1, -2, -2] screwiness -0.5 1.80278 [-2, 0, -2, 3, -2, -1, -2, 1, 2, -2] screwing -0.9 0.9434 [-1, 0, 0, 0, -1, -1, -3, -2, 0, -1] screwlike 0.1 1.04403 [2, -1, 0, 0, 0, 1, 0, 1, -2, 0] screws -1.0 1.09545 [0, -3, 0, 0, -1, 0, -2, -2, -2, 0] screwup -1.7 0.9 [-2, -2, -2, 1, -2, -2, -2, -2, -2, -2] screwups -1.0 1.61245 [-2, -2, -2, -2, 0, 2, -2, -2, 2, -2] screwworm -0.4 0.66332 [0, -1, 0, 0, 0, 0, -2, 0, -1, 0] screwworms -0.1 1.22066 [-3, 0, -1, 0, 0, 0, 0, 2, 1, 0] screwy -1.4 0.8 [-2, -2, -1, -1, -1, 0, -2, -1, -3, -1] scrumptious 2.1 1.22066 [3, 3, 0, 3, 2, 3, 1, 3, 0, 3] scrumptiously 1.5 1.43178 [2, 3, 3, -2, 1, 1, 2, 3, 1, 1] scumbag -3.2 0.6 [-4, -3, -3, -2, -3, -4, -3, -3, -4, -3] segur 1.4 0.4899 [1, 2, 1, 1, 2, 1, 1, 2, 2, 1] segura 1.4 0.4899 [1, 2, 1, 1, 2, 1, 1, 2, 2, 1] secured 1.7 0.78102 [2, 2, 3, 1, 1, 2, 2, 0, 2, 2] segurament 1.4 0.8 [2, 0, 1, 2, 1, 1, 1, 3, 2, 1] securement 1.1 0.7 [0, 2, 1, 1, 1, 0, 2, 2, 1, 1] secureness 1.4 0.66332 [2, 1, 1, 3, 1, 1, 1, 1, 2, 1] securer 1.5 0.67082 [1, 2, 2, 2, 1, 2, 1, 0, 2, 2] securers 0.6 0.91652 [1, 3, 0, 0, 1, 0, 0, 0, 0, 1] secures 1.3 0.64031 [1, 2, 2, 1, 1, 2, 1, 0, 2, 1] segurissim 2.6 0.8 [3, 3, 2, 3, 1, 4, 3, 2, 2, 3] securing 1.3 1.00499 [0, 3, 1, 1, 1, 3, 1, 1, 2, 0] securities 1.2 0.6 [1, 2, 2, 2, 1, 1, 1, 0, 1, 1] securitization 0.2 1.07703 [0, 0, 1, -1, 1, 0, -2, 0, 2, 1] securitizations 0.1 0.9434 [0, 0, 0, 0, 2, 0, -2, 0, 1, 0] securitize 0.3 1.34536 [2, 1, 0, 0, 2, 0, 1, 0, -3, 0] securitized 1.4 1.0198 [3, 0, 2, 2, 0, 1, 2, 2, 0, 2] securitizes 1.6 1.0198 [3, 0, 2, 2, 0, 1, 3, 2, 1, 2] securitizing 0.7 0.9 [2, 0, 0, 1, 2, 0, 2, 0, 0, 0] seguretat 1.4 0.8 [1, 2, 3, 2, 1, 1, 2, 0, 1, 1] sedicio -1.8 1.249 [-3, -4, -2, -2, -2, -2, -1, -1, -2, 1] rebel -1.7 0.64031 [-1, -2, -2, -1, -1, -1, -3, -2, -2, -2] seduced -1.5 0.67082 [0, -1, -2, -2, -2, -2, -1, -1, -2, -2] self-confident 2.5 0.80623 [1, 3, 3, 3, 2, 3, 1, 3, 3, 3] selfish -2.1 0.7 [-1, -2, -2, -3, -1, -2, -2, -2, -3, -3] egositament -1.4 0.91652 [-3, 0, -1, -1, -1, -2, -3, -1, -1, -1] selfishness -1.7 0.64031 [-1, -1, -1, -2, -2, -1, -2, -2, -3, -2] selfishnesses -2.0 1.94936 [-4, -3, -1, -3, -2, -4, 2, 1, -3, -3] sentence 0.3 0.64031 [0, 0, 0, 0, 1, 2, 0, 0, 0, 0] pena 0.3 0.64031 [0, 0, 0, 0, 1, 2, 0, 0, 0, 0] sentenciat -0.1 1.3 [0, -2, 2, -1, 0, -2, 2, 0, 0, 0] sentencies 0.2 1.07703 [0, 0, 2, 0, 0, -2, 2, 0, 0, 0] sentenciant -0.6 1.8 [-2, 0, -3, -2, 2, 3, 0, -1, -1, -2] sentimental 1.3 0.64031 [2, 1, 1, 2, 1, 0, 1, 2, 2, 1] sentimentalise 1.2 0.87178 [2, 1, 0, 3, 2, 1, 1, 0, 1, 1] sentimentalised 0.8 1.16619 [2, 1, 1, 0, 0, 2, 3, -1, 0, 0] sentimentalising 0.4 0.91652 [0, 2, 0, 0, 0, -1, 1, 0, 2, 0] sentimentalisme 1.0 0.63246 [2, 1, 0, 2, 1, 1, 1, 0, 1, 1] sentimentalisms 0.4 0.8 [0, 1, 1, 0, 0, 2, 1, 0, 0, -1] sentimentalist 0.8 0.87178 [2, 1, 0, 2, 0, 1, 2, 0, 0, 0] sentimentalists 0.7 0.78102 [0, 0, 1, 0, 0, 1, 1, 2, 0, 2] sentimentalities 0.9 0.83066 [2, 1, 1, 2, 1, 0, 0, 2, 0, 0] sentimentality 1.2 1.46969 [-2, 1, 1, 2, 2, 0, 4, 2, 1, 1] sentimentalization 1.2 0.87178 [0, 1, 2, 0, 1, 1, 3, 1, 2, 1] sentimentalizations 0.4 0.8 [0, 1, 0, 1, 0, 0, 0, 2, -1, 1] sentimentalize 0.8 1.07703 [2, 0, 0, 2, 0, 2, 1, -1, 2, 0] sentimentalized 1.1 1.22066 [3, 0, 2, 0, 1, 3, 2, 0, 0, 0] sentimentalizes 1.1 1.37477 [3, 0, 1, 0, 1, 4, 2, 0, 0, 0] sentimentalizing 0.8 0.87178 [1, 1, 1, 1, 2, 0, -1, 1, 0, 2] sentimentally 1.9 0.9434 [3, 2, 3, 1, 0, 2, 1, 2, 3, 2] serene 2.0 1.0 [1, 1, 3, 2, 2, 4, 3, 2, 1, 1] seriossament -0.3 0.45826 [0, -1, 0, -1, -1, 0, 0, 0, 0, 0] seriosament -0.7 1.34536 [-3, -2, 0, 0, -1, -2, 2, -1, 0, 0] seriousness -0.2 1.16619 [0, 2, 0, 0, 0, 0, -3, -1, 0, 0] sever -1.6 1.8 [-3, -2, -4, 1, -2, -3, 2, -1, -1, -3] tallat -1.5 0.5 [-1, -1, -2, -1, -2, -1, -1, -2, -2, -2] severament -2.0 0.89443 [-2, -1, -1, -2, -2, -1, -3, -2, -4, -2] severeness -1.0 1.73205 [0, 0, -1, -4, 1, -2, 0, 1, -1, -4] severer -1.6 1.49666 [-2, -3, -2, -1, -2, 2, -4, -1, -1, -2] severest -1.5 1.85742 [-4, -1, 2, -2, -2, -3, -4, -1, 1, -1] sexy 2.4 0.8 [2, 3, 3, 4, 2, 2, 2, 2, 3, 1] sexi 2.4 0.8 [2, 3, 3, 4, 2, 2, 2, 2, 3, 1] agitar -0.7 0.9 [-2, 0, 0, -2, 1, -1, 0, -1, -1, -1] shakeable -0.3 1.00499 [2, -1, 0, 0, -1, -2, 0, 0, -1, 0] shakedown -1.2 0.4 [-2, -1, -1, -1, -2, -1, -1, -1, -1, -1] shakedowns -1.4 0.8 [-2, -1, -1, -3, -1, -1, 0, -2, -2, -1] alterat -0.3 0.9 [-1, -1, 1, -1, 1, 0, -1, 1, -1, -1] pertorbat -0.3 0.9 [-1, -1, 1, -1, 1, 0, -1, 1, -1, -1] crisi -1.3 0.78102 [-1, -2, 0, -1, -1, -2, -2, -2, 0, -2] fallida -1.3 0.78102 [-1, -2, 0, -1, -1, -2, -2, -2, 0, -2] shakeouts -0.8 1.16619 [-2, -1, 0, 0, -1, 2, -2, -1, -2, -1] shakers 0.3 1.00499 [2, 0, 0, -1, 2, 0, 1, -1, 0, 0] reestructuracio -0.6 0.4899 [-1, 0, -1, -1, -1, 0, 0, 0, -1, -1] reestructuracions -0.5 0.92195 [2, -1, 0, 0, -1, -1, -1, -1, -1, -1] shakier -0.9 0.3 [-1, -1, 0, -1, -1, -1, -1, -1, -1, -1] shakiest -1.2 0.74833 [-1, 0, 0, -1, -1, -1, -2, -2, -2, -2] shakily -0.7 0.45826 [-1, -1, -1, -1, -1, 0, 0, 0, -1, -1] inestabilitat -0.7 1.1 [2, -1, -1, -1, -2, -1, -1, -2, 0, 0] tremolosa -0.7 0.45826 [-1, -1, -1, 0, -1, -1, 0, 0, -1, -1] tremolos -0.9 0.3 [-1, -1, -1, 0, -1, -1, -1, -1, -1, -1] vergonya -2.1 0.53852 [-2, -2, -2, -3, -3, -1, -2, -2, -2, -2] avergonyit -2.6 0.4899 [-2, -3, -3, -2, -3, -3, -3, -2, -2, -3] avergonyida -2.6 0.4899 [-2, -3, -3, -2, -3, -3, -3, -2, -2, -3] shamefaced -2.3 0.64031 [-2, -2, -2, -3, -3, -3, -3, -1, -2, -2] shamefacedly -1.9 0.3 [-2, -2, -2, -2, -2, -2, -2, -1, -2, -2] shamefacedness -2.0 0.89443 [-1, -1, -2, -2, -2, -1, -2, -4, -2, -3] shamefast -1.0 0.44721 [-1, -1, 0, -1, -1, -1, -1, -2, -1, -1] shameful -2.2 0.6 [-3, -3, -2, -2, -2, -3, -1, -2, -2, -2] shamefully -1.9 0.7 [-2, -3, -1, -3, -1, -2, -2, -1, -2, -2] shamefulness -2.4 0.4899 [-2, -3, -3, -2, -3, -2, -3, -2, -2, -2] shamefulnesses -2.3 0.78102 [-4, -2, -2, -2, -3, -1, -2, -2, -3, -2] desvergonyit -1.4 1.0198 [-1, -1, 1, -2, -3, -1, -2, -2, -1, -2] desvergonyida -1.4 1.0198 [-1, -1, 1, -2, -3, -1, -2, -2, -1, -2] descaradament -1.4 1.0198 [-1, 0, -1, -2, 0, -1, -3, -3, -1, -2] descaradura -1.4 1.0198 [-1, -3, -2, 1, -2, -1, -2, -2, -1, -1] barra -1.4 1.0198 [-1, -3, -2, 1, -2, -1, -2, -2, -1, -1] penques -1.4 1.0198 [-1, -3, -2, 1, -2, -1, -2, -2, -1, -1] shamelessnesses -2.0 1.0 [-2, 0, -2, -4, -2, -1, -2, -3, -2, -2] remordiment -1.7 0.9 [-3, -3, -3, -1, -1, -1, -1, -1, -1, -2] compartir 1.2 0.74833 [0, 1, 1, 2, 2, 2, 1, 1, 0, 2] compartit 1.4 0.4899 [2, 2, 2, 1, 2, 1, 1, 1, 1, 1] shares 1.2 0.87178 [0, 2, 1, 1, 0, 2, 2, 2, 2, 0] sharing 1.8 0.6 [2, 2, 1, 2, 2, 3, 1, 1, 2, 2] shattered -2.1 0.7 [-1, -3, -3, -2, -2, -2, -3, -2, -1, -2] merda -2.6 1.0198 [-2, -1, -4, -3, -4, -4, -2, -2, -2, -2] shitake -0.3 1.26886 [-4, 0, 0, 0, 0, 0, 0, 0, 1, 0] shitakes -1.1 1.7 [0, -4, 0, 0, 0, 0, -3, 0, -4, 0] shithead -3.1 0.83066 [-3, -4, -4, -3, -4, -3, -1, -3, -3, -3] shitheads -2.6 1.35647 [-2, -3, -4, -3, -3, -3, -2, -4, 1, -3] merdes -2.1 1.22066 [-3, 0, -3, 0, -2, -4, -2, -2, -2, -3] shittah 0.1 1.3 [-2, -2, 0, 2, 0, 0, 0, 0, 1, 2] shitted -1.7 0.64031 [-2, -1, -2, -1, -2, -2, -3, -1, -2, -1] shittier -2.1 0.83066 [-3, -3, -2, -1, -1, -1, -3, -2, -2, -3] shittiest -3.4 0.66332 [-3, -4, -3, -4, -4, -4, -3, -3, -4, -2] shittim -0.6 1.0198 [-3, 0, 0, 0, 0, -2, 0, 0, -1, 0] shittimwood -0.3 0.9 [0, 0, -3, 0, 0, 0, 0, 0, 0, 0] shitting -1.8 0.9798 [-1, -2, -2, -1, -3, -1, -1, -2, -4, -1] shitty -2.6 0.8 [-3, -4, -2, -3, -3, -2, -3, -1, -2, -3] commocio -1.6 0.91652 [0, -3, -1, -2, -1, -2, -2, -1, -3, -1] shockable -1.0 1.0 [-3, -1, -1, 0, 0, -2, -1, -2, 0, 0] commocionat -1.3 1.18743 [-2, -1, -1, 0, 0, -2, 0, -2, -1, -4] commocionada -1.3 1.18743 [-2, -1, -1, 0, 0, -2, 0, -2, -1, -4] shocker -0.6 1.49666 [-2, -1, 3, -1, 0, -3, -1, 0, -1, 0] shockers -1.1 0.9434 [-1, -2, -2, -1, -1, 0, 0, -3, 0, -1] shocking -1.7 1.34536 [-3, -3, 0, -1, 0, -3, 0, -1, -3, -3] shockingly -0.7 1.48661 [-2, 0, -1, -3, -3, 0, 2, 0, 0, 0] shockproof 1.3 0.64031 [1, 0, 1, 1, 2, 2, 1, 2, 1, 2] shocks -1.6 0.91652 [-3, -1, 0, -1, -2, -2, -1, -3, -2, -1] shook -0.4 0.66332 [-1, -2, 0, 0, 0, 0, 0, 0, 0, -1] tir -1.4 1.11355 [-1, -4, -1, -1, -2, 0, -2, 0, -1, -2] short-sighted -1.2 0.6 [0, -1, -2, -2, -1, -1, -1, -2, -1, -1] short-sightedness -1.1 1.37477 [-1, -2, -2, -2, -3, -1, 0, 2, 0, -2] shortage -1.0 1.09545 [-2, -2, -1, -2, -1, -1, 2, -1, -1, -1] shortages -0.6 1.0198 [0, -2, -1, -1, 0, -2, 1, 1, -1, -1] shrew -0.9 1.04403 [-2, -1, -2, -2, 1, 0, 0, 0, -1, -2] shy -1.0 0.0 [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1] shyer -0.8 0.6 [-1, -1, -1, -1, 0, -1, 0, 0, -2, -1] shying -0.9 0.83066 [-1, -2, -1, 0, -2, 0, 0, 0, -2, -1] shylock -2.1 1.13578 [-2, -2, -2, 0, -3, -3, -3, -3, 0, -3] shylocked -0.7 1.00499 [0, -3, -1, 0, 0, -2, 0, -1, 0, 0] shylocking -1.5 1.11803 [0, -2, -3, 0, -1, -3, -2, 0, -2, -2] shylocks -1.4 1.11355 [0, -2, -1, -2, -3, 0, -3, -1, -2, 0] shyly -0.7 0.45826 [-1, -1, -1, -1, 0, 0, -1, 0, -1, -1] shyness -1.3 1.00499 [-2, 0, -3, 0, -1, -2, -2, -1, -2, 0] shynesses -1.2 0.6 [-2, -1, -1, -2, -1, -2, 0, -1, -1, -1] shyster -1.6 0.66332 [-2, -1, -2, -3, -2, -1, -1, -1, -1, -2] shysters -0.9 0.7 [0, -2, 0, 0, -2, -1, -1, -1, -1, -1] malalt -2.3 0.78102 [-1, -2, -3, -2, -2, -4, -3, -2, -2, -2] sicken -1.9 0.7 [-2, -3, -1, -3, -1, -1, -2, -2, -2, -2] sickened -2.5 0.92195 [-3, -2, -4, -3, -1, -1, -3, -3, -2, -3] sickener -2.2 0.87178 [-3, -1, -2, -3, -1, -1, -3, -3, -2, -3] sickeners -2.2 0.6 [-3, -1, -2, -3, -2, -3, -2, -2, -2, -2] sickening -2.4 0.91652 [-3, -4, -1, -3, -2, -2, -1, -3, -2, -3] sickeningly -2.1 0.7 [-3, -3, -1, -2, -2, -1, -3, -2, -2, -2] sickens -2.0 0.63246 [-2, -1, -2, -2, -3, -2, -1, -2, -3, -2] sigh 0.1 1.22066 [2, -1, -1, -1, 0, 2, 1, 1, -1, -1] significance 1.1 1.22066 [0, 0, 0, 1, 3, 2, 3, 2, 0, 0] significant 0.8 0.9798 [1, 0, 1, 3, 0, 1, 0, 0, 2, 0] silencing -0.5 0.67082 [-2, -1, 0, 0, 0, 0, 0, -1, 0, -1] sillibub -0.1 0.3 [0, 0, 0, 0, -1, 0, 0, 0, 0, 0] sillier 1.0 0.7746 [1, 1, 0, 2, 0, 1, 1, 2, 2, 0] sillies 0.8 0.74833 [2, 1, 0, 1, 0, 1, 0, 2, 1, 0] silliest 0.8 0.9798 [0, 1, 1, 1, 1, 0, 3, 1, -1, 1] sillily -0.1 1.04403 [1, -1, -1, -1, 2, 1, -1, 0, 0, -1] sillimanite 0.1 0.3 [1, 0, 0, 0, 0, 0, 0, 0, 0, 0] sillimanites 0.2 0.6 [0, 0, 0, 0, 2, 0, 0, 0, 0, 0] silliness -0.9 1.22066 [1, -3, -1, 0, 1, -1, -2, -1, -2, -1] sillinesses -1.2 1.46969 [-3, -2, -3, 0, -2, 0, 1, -2, -2, 1] silly 0.1 1.04403 [1, 1, 0, 0, 0, 2, -1, -2, 0, 0] pecat -2.6 0.8 [-2, -4, -3, -2, -2, -2, -4, -3, -2, -2] sincer 1.7 0.78102 [1, 2, 3, 0, 2, 2, 2, 2, 1, 2] sincerament 2.1 1.04403 [1, 3, 2, 4, 2, 3, 1, 1, 3, 1] sincereness 1.8 0.74833 [3, 1, 1, 2, 2, 3, 1, 2, 2, 1] sincerer 2.0 1.0 [1, 3, 3, 2, 3, 2, 1, 3, 0, 2] sincerest 2.0 1.34164 [0, 3, 1, 1, 4, 2, 1, 4, 1, 3] sincerities 1.5 0.67082 [2, 1, 1, 1, 1, 1, 3, 2, 2, 1] sinful -2.6 0.8 [-4, -3, -3, -2, -1, -2, -3, -2, -3, -3] singleminded 1.2 0.87178 [1, 2, 0, 0, 3, 2, 1, 1, 1, 1] sinistre -2.9 1.13578 [-4, -4, -1, -3, -1, -4, -3, -3, -2, -4] sins -2.0 1.0 [-2, -1, -2, -3, -1, -4, -3, -2, -1, -1] enfonsar -2.0 1.0 [-2, -1, -2, -3, -1, -4, -3, -2, -1, -1] esceptic -0.9 1.13578 [0, 0, -1, -1, -1, 0, -2, -2, 1, -3] skeptical -1.3 0.9 [0, -3, -2, -2, -1, -2, 0, -1, -1, -1] skeptically -1.2 0.4 [-1, -1, -1, -1, -1, -1, -2, -1, -1, -2] skepticism -1.0 0.89443 [0, 0, -1, -1, -1, -1, 0, -1, -3, -2] skepticisms -1.2 0.9798 [1, -2, 0, -1, -2, -1, -2, -2, -1, -2] skeptics -0.4 0.91652 [-2, 0, 0, -1, -1, 1, -1, 0, 1, -1] colpejar -1.6 1.11355 [-2, -1, -3, -1, -3, -2, -1, -2, 1, -2] slash -1.1 1.22066 [-2, -3, -2, 0, -2, 0, -1, -2, 0, 1] slashed -0.9 0.83066 [-2, -1, -2, -1, -1, 0, 1, -1, -1, -1] slashes -0.8 0.6 [0, -1, -2, -1, 0, 0, -1, -1, -1, -1] slashing -1.1 1.86815 [-3, -2, -3, -3, 3, 1, 0, -1, -2, -1] slavery -3.8 0.4 [-4, -3, -4, -3, -4, -4, -4, -4, -4, -4] sleeplessness -1.6 1.49666 [-3, -4, -2, -1, -2, -2, -2, 2, -1, -1] slicker 0.4 1.28062 [-2, 1, -1, 2, 0, 0, 2, 2, 0, 0] slickest 0.3 1.00499 [1, 0, -1, 0, -1, 0, 0, 0, 2, 2] sluggish -1.7 0.64031 [-1, -2, -1, -3, -2, -2, -1, -2, -1, -2] puta -2.8 0.87178 [-4, -2, -2, -1, -3, -3, -3, -3, -4, -3] prostituta -2.8 0.87178 [-4, -2, -2, -1, -3, -3, -3, -3, -4, -3] putes -2.7 1.48661 [-3, -3, -4, -4, -3, -4, -1, -3, 1, -3] prostitutes -2.7 1.48661 [-3, -3, -4, -4, -3, -4, -1, -3, 1, -3] sluttier -2.7 1.18743 [-2, -2, -4, -3, -4, -4, -1, -1, -2, -4] sluttiest -3.1 0.83066 [-3, -4, -3, -4, -3, -4, -2, -2, -4, -2] sluttish -2.2 0.87178 [-2, -3, -3, -2, -2, -4, -2, -1, -1, -2] sluttishly -2.1 1.13578 [-2, 0, -2, -3, -1, -2, -3, -1, -3, -4] sluttishness -2.5 0.92195 [-2, -1, -3, -4, -2, -1, -3, -3, -3, -3] sluttishnesses -2.0 1.09545 [0, -2, -1, -3, -3, -1, -3, -1, -3, -3] slutty -2.3 0.9 [-3, -1, -3, -3, -3, -2, -1, -3, -1, -3] intel·ligent 1.7 0.78102 [2, 2, 1, 2, 1, 3, 2, 0, 2, 2] smartass -2.1 0.83066 [-1, -1, -2, -3, -2, -1, -2, -3, -3, -3] smartasses -1.7 2.05183 [-1, -2, -3, -3, -3, -1, -2, -3, 4, -3] smarted 0.7 1.41774 [2, 1, -2, 1, 1, 2, 2, 2, -1, -1] smarten 1.9 0.7 [3, 1, 2, 1, 2, 2, 2, 3, 1, 2] smartened 1.5 0.67082 [2, 2, 1, 3, 1, 1, 1, 1, 2, 1] smartening 1.7 0.9 [1, 3, 3, 1, 1, 1, 2, 1, 1, 3] smartens 1.5 0.5 [2, 2, 1, 1, 1, 1, 2, 2, 2, 1] smarter 2.0 0.7746 [2, 2, 1, 1, 2, 2, 2, 2, 4, 2] smartest 3.0 1.0 [4, 3, 4, 3, 2, 2, 4, 3, 1, 4] smartie 1.3 0.9 [1, 4, 1, 1, 1, 1, 1, 1, 1, 1] smarties 1.7 0.9 [1, 1, 2, 4, 2, 2, 1, 2, 1, 1] smarting -0.7 1.9 [2, 3, -1, -2, 1, -2, -1, -3, -2, -2] smartly 1.5 0.67082 [2, 1, 1, 1, 1, 2, 1, 3, 1, 2] smartness 2.0 0.89443 [1, 3, 3, 1, 2, 1, 2, 3, 1, 3] smartnesses 1.5 0.92195 [1, 0, 1, 1, 1, 2, 1, 2, 3, 3] smarts 1.6 0.66332 [2, 1, 3, 1, 2, 1, 2, 1, 2, 1] smartweed 0.2 0.6 [0, 0, 0, 0, 0, 2, 0, 0, 0, 0] smartweeds 0.1 0.53852 [0, 0, -1, 0, 0, 0, 1, 0, 0, 1] smarty 1.1 0.53852 [0, 2, 1, 2, 1, 1, 1, 1, 1, 1] tacar -1.5 1.20416 [-2, -1, -1, -2, -3, 0, 0, -4, -1, -1] embrutar -1.5 1.20416 [-2, -1, -1, -2, -3, 0, 0, -4, -1, -1] smilax 0.6 0.66332 [0, 2, 1, 0, 0, 0, 1, 1, 1, 0] smilaxes 0.3 0.78102 [0, 0, 0, 0, 1, 2, 1, -1, 0, 0] somriure 1.5 0.67082 [2, 1, 1, 1, 2, 2, 3, 1, 1, 1] smiled 2.5 0.80623 [3, 2, 3, 2, 1, 2, 3, 4, 3, 2] smileless -1.4 0.4899 [-1, -1, -1, -1, -2, -1, -2, -1, -2, -2] smiler 1.7 0.78102 [1, 1, 3, 1, 3, 2, 2, 2, 1, 1] smiles 2.1 1.04403 [2, 4, 2, 1, 3, 1, 1, 3, 1, 3] smiley 1.7 0.78102 [1, 2, 1, 2, 2, 0, 2, 3, 2, 2] smileys 1.5 0.92195 [1, 2, 1, 3, 1, 0, 1, 3, 1, 2] smiling 2.0 1.18322 [2, 1, 1, 1, 2, 3, 4, 1, 4, 1] smilingly 2.3 0.64031 [3, 2, 3, 2, 3, 1, 2, 2, 2, 3] boira -1.2 0.6 [-1, -1, -2, -1, -1, -2, -2, -1, 0, -1] smother -1.8 0.87178 [-2, -2, -3, -1, -2, -1, -2, -2, -3, 0] smothered -0.9 1.7 [2, -4, 0, -1, -3, -2, 0, -1, 1, -1] smothering -1.4 1.56205 [-2, -3, -1, -4, 0, -2, -1, 2, -1, -2] smothers -1.9 1.04403 [-1, -1, -3, -1, -2, -3, 0, -2, -3, -3] smothery -1.1 0.7 [-2, 0, -2, -1, -2, -1, 0, -1, -1, -1] presumit 0.8 1.16619 [-1, 2, 0, 2, 1, -1, 2, 1, 0, 2] presumida 0.8 1.16619 [-1, 2, 0, 2, 1, -1, 2, 1, 0, 2] cregut 0.8 1.16619 [-1, 2, 0, 2, 1, -1, 2, 1, 0, 2] creguda 0.8 1.16619 [-1, 2, 0, 2, 1, -1, 2, 1, 0, 2] smugger -1.0 0.89443 [1, -2, -1, -2, -1, -1, -1, 0, -2, -1] smuggest -1.5 1.28452 [-1, -1, -1, 1, -1, -3, -4, -2, -1, -2] smuggle -1.6 1.11355 [-2, -1, -1, -1, -2, 0, -1, -1, -3, -4] smuggled -1.5 0.92195 [-1, -1, -2, -1, -1, -1, -2, -1, -1, -4] smuggler -2.1 1.22066 [-1, -3, -3, -1, -1, -1, -4, -1, -2, -4] smugglers -1.4 1.56205 [-2, -3, -4, 1, -2, 0, -2, 1, -1, -2] smuggles -1.7 1.00499 [-1, -2, -2, -1, -1, -1, -3, -1, -1, -4] smuggling -2.1 0.83066 [-3, -2, -2, -1, -2, -2, -1, -2, -4, -2] smugly 0.2 1.249 [-1, 2, -1, -1, 1, 1, -1, 1, 2, -1] smugness -1.4 1.11355 [-1, -1, -1, -3, -3, -2, 1, -1, -2, -1] smugnesses -1.7 0.78102 [-1, -1, -2, -1, -3, -1, -2, -2, -3, -1] sneaky -0.9 0.7 [-1, -1, -1, -2, -1, -1, -1, 1, -1, -1] snob -2.0 0.63246 [-2, -2, -2, -2, -2, -1, -3, -1, -3, -2] snobbery -2.0 0.63246 [-1, -2, -2, -2, -2, -3, -2, -1, -3, -2] snobbier -0.7 1.00499 [-1, 2, -1, -1, -1, -1, -1, 0, -2, -1] snobbiest -0.5 1.11803 [-2, -2, 1, -1, 1, -1, 0, -1, 1, -1] snobbily -1.6 1.11355 [-1, -2, -2, -2, -1, -3, -3, -1, 1, -2] snobbish -0.9 1.37477 [-2, -1, 1, -1, 1, -2, -3, -2, 1, -1] snobbishly -1.2 1.249 [-2, 1, -2, -1, -2, -3, -1, -2, -1, 1] snobbishness -1.1 1.22066 [-1, -2, -2, -1, -3, -1, -1, -1, 2, -1] snobbishnesses -1.7 0.78102 [-2, -1, -3, -2, -1, -1, -2, -1, -3, -1] snobbism -1.0 1.41421 [-2, -1, 1, -1, 1, -2, -3, -2, 1, -2] snobbisms -0.3 1.18743 [1, -1, -1, 0, -1, -1, 1, -2, 2, -1] snobby -1.7 1.00499 [-1, -1, -1, -3, -2, -2, 0, -3, -3, -1] snobs -1.4 1.0198 [-2, -1, -1, -2, -2, -3, -1, -2, 1, -1] snub -1.8 0.4 [-2, -2, -1, -2, -2, -2, -2, -2, -1, -2] snubbed -2.0 0.7746 [-2, -2, 0, -2, -3, -2, -2, -2, -3, -2] snubbing -0.9 1.13578 [-2, -1, -1, -1, 1, -1, -3, 1, -1, -1] snubs -2.1 0.9434 [-2, -1, -1, -1, -3, -2, -4, -3, -2, -2] sob -1.0 1.34164 [-1, -2, -2, -2, -1, -1, 2, 1, -2, -2] sobbed -1.9 1.3 [-2, -4, 1, -1, -3, -1, -3, -2, -2, -2] sobbing -1.6 1.49666 [1, -2, -3, -1, -1, -3, 1, -2, -3, -3] sobering -0.8 1.32665 [2, -2, 0, -2, -1, -1, -2, 1, -1, -2] sobs -2.5 0.67082 [-3, -3, -2, -2, -3, -3, -3, -1, -2, -3] sociabilities 1.2 0.9798 [1, 3, 1, 2, 0, 1, 0, 2, 2, 0] sociability 1.1 0.9434 [0, 1, 1, 1, 0, 2, 1, 0, 2, 3] sociable 1.9 0.7 [1, 1, 2, 3, 1, 2, 2, 2, 3, 2] sociableness 1.5 0.5 [1, 1, 1, 2, 2, 2, 1, 2, 1, 2] sociably 1.6 0.91652 [3, 2, 0, 1, 3, 2, 1, 1, 2, 1] sok 1.3 1.1 [0, 1, 2, 1, 1, 0, 1, 4, 2, 1] solemn -0.3 1.1 [-1, -2, -1, 0, -1, 2, 0, -1, 1, 0] solemnified -0.5 0.67082 [0, 0, 0, 0, -1, -1, -1, 0, -2, 0] solemnifies -0.5 0.67082 [0, 0, 0, 0, -1, -2, -1, 0, -1, 0] solemnify 0.3 1.18743 [2, 1, 2, 1, 0, 0, -2, -1, 0, 0] solemnifying 0.1 1.3 [2, -1, 0, -3, 0, 1, 1, 1, 0, 0] solemnities 0.3 0.78102 [0, 1, -1, 0, 0, 0, 2, 1, 0, 0] solemnity -1.1 0.9434 [0, -2, 0, -2, -2, -1, -2, 0, 0, -2] solemnization 0.7 1.34536 [-1, -1, 0, 2, 2, 0, 3, 2, 0, 0] solemnize 0.3 0.78102 [1, -1, 0, 2, 0, 0, 1, 0, 0, 0] solemnized -0.7 0.9 [0, 0, 0, -1, -1, -1, -1, 0, 0, -3] solemnizes 0.6 0.91652 [0, 0, 0, 0, 0, 0, 2, 2, 2, 0] solemnizing -0.6 0.8 [0, 0, -1, -1, 0, 0, -2, -2, 0, 0] solemnly 0.8 0.9798 [0, 2, 0, 1, 1, 2, -1, 2, 1, 0] solid 0.6 0.8 [0, 2, 1, 2, 0, 1, 0, 0, 0, 0] solidaritat 1.2 0.6 [1, 1, 1, 1, 2, 0, 1, 2, 2, 1] solucio 1.3 0.64031 [1, 2, 1, 2, 1, 1, 2, 2, 0, 1] solucions 0.7 0.78102 [1, 1, 2, 0, 1, 0, 2, 0, 0, 0] solve 0.8 0.4 [0, 1, 1, 1, 1, 0, 1, 1, 1, 1] solucionat 1.1 0.53852 [1, 2, 1, 0, 1, 1, 1, 2, 1, 1] solves 1.1 0.7 [2, 0, 1, 0, 1, 2, 1, 2, 1, 1] solucionant 1.4 0.8 [0, 3, 1, 2, 1, 1, 2, 1, 2, 1] somber -1.8 0.6 [-1, -2, -2, -3, -2, -1, -2, -1, -2, -2] fill-de-puta -2.7 0.64031 [-3, -3, -3, -1, -2, -3, -3, -3, -3, -3] fill de puta -2.7 0.64031 [-3, -3, -3, -1, -2, -3, -3, -3, -3, -3] soothe 1.5 0.92195 [3, 2, 2, 1, 2, 0, 2, 0, 2, 1] soothed 0.5 1.43178 [2, -3, 1, 1, 0, 1, 1, 1, 2, -1] soothing 1.3 0.64031 [2, 1, 2, 1, 1, 1, 2, 0, 2, 1] sophisticated 2.6 0.91652 [3, 4, 3, 3, 3, 1, 2, 1, 3, 3] sore -1.5 0.5 [-2, -2, -2, -1, -1, -1, -2, -1, -1, -2] sorrow -2.4 0.8 [-2, -2, -2, -1, -2, -3, -2, -4, -3, -3] sorrowed -2.4 0.8 [-1, -2, -3, -3, -2, -3, -2, -4, -2, -2] sorrower -2.3 0.78102 [-1, -2, -1, -3, -3, -2, -2, -3, -3, -3] sorrowful -2.2 0.6 [-3, -3, -2, -2, -2, -2, -3, -1, -2, -2] sorrowfully -2.3 0.64031 [-3, -3, -2, -1, -2, -2, -3, -2, -2, -3] sorrowfulness -2.5 0.67082 [-4, -3, -2, -3, -2, -3, -2, -2, -2, -2] sorrowing -1.7 1.26886 [-2, -2, 1, -1, -1, -2, -4, -3, -2, -1] sorrows -1.6 0.66332 [-1, -1, -2, -1, -2, -2, -1, -2, -1, -3] sorry -0.3 1.61555 [-1, 0, -1, -2, -1, -1, 4, 1, -1, -1] anima bessona 2.9 0.83066 [4, 2, 2, 2, 3, 4, 3, 3, 2, 4] spam -1.5 1.0247 [-1, -1, -1, -2, 1, -2, -3, -2, -2, -2] spammer -2.2 0.6 [-3, -2, -2, -1, -2, -3, -2, -2, -3, -2] spammers -1.6 1.11355 [-2, -1, -2, -3, -2, -1, -2, -1, 1, -3] spamming -2.1 0.83066 [-3, -3, -1, -3, -2, -1, -2, -2, -1, -3] espurna 0.9 1.04403 [0, 2, 1, 1, 0, 1, 3, -1, 1, 1] sparkle 1.8 0.74833 [0, 2, 2, 2, 1, 2, 3, 2, 2, 2] sparkles 1.3 1.18743 [3, 2, 0, 0, 3, 0, 2, 0, 1, 2] sparkling 1.2 0.4 [1, 1, 1, 2, 1, 1, 1, 2, 1, 1] special 1.7 0.78102 [3, 1, 3, 2, 2, 1, 1, 2, 1, 1] speculative 0.4 1.11355 [1, -1, 1, 0, -1, -1, 1, 2, 2, 0] spirit 0.7 1.00499 [0, 0, 1, 2, 3, 1, 0, 0, 0, 0] spirited 1.3 1.00499 [1, 1, 0, 1, 1, 3, 2, 3, 0, 1] spiritless -1.3 0.64031 [-2, -1, -1, -2, -2, -1, 0, -1, -2, -1] spite -2.4 0.8 [-2, -2, -3, -2, -3, -2, -4, -1, -3, -2] spited -2.4 0.91652 [-2, -3, -3, -4, -2, -1, -2, -1, -3, -3] spiteful -1.9 1.75784 [-2, 3, -2, -3, -2, -3, -2, -2, -4, -2] spitefully -2.3 0.78102 [-2, -2, -1, -3, -3, -2, -2, -2, -4, -2] spitefulness -1.5 1.74642 [-3, -2, 1, -3, -3, -3, -2, 2, 0, -2] spitefulnesses -2.3 0.9 [-1, -4, -2, -3, -3, -2, -2, -3, -1, -2] spites -1.4 1.28062 [0, -2, -2, -3, -2, -1, 1, 0, -3, -2] splendent 2.7 0.78102 [3, 2, 1, 3, 2, 3, 4, 3, 3, 3] esplendid 2.8 0.9798 [4, 2, 3, 4, 2, 2, 3, 1, 3, 4] splendidly 2.1 1.22066 [1, 4, 1, 3, 3, 4, 1, 2, 1, 1] splendidness 2.3 0.9 [2, 1, 3, 3, 4, 2, 1, 3, 2, 2] splendiferous 2.6 1.95959 [4, 4, 3, -3, 3, 3, 4, 2, 3, 3] splendiferously 1.9 1.3 [2, 4, 4, 3, 0, 1, 1, 1, 2, 1] splendiferousness 1.7 1.18743 [1, 2, 3, 1, 2, 3, 3, 2, -1, 1] esplendor 3.0 0.63246 [3, 3, 3, 3, 3, 2, 4, 4, 3, 2] esplendid 2.2 0.87178 [4, 2, 1, 2, 2, 3, 3, 1, 2, 2] esplendida 2.2 0.87178 [4, 2, 1, 2, 2, 3, 3, 1, 2, 2] splendors 2.0 0.44721 [2, 2, 2, 2, 3, 2, 2, 2, 1, 2] esplendor 2.2 0.6 [2, 2, 2, 3, 3, 1, 2, 3, 2, 2] esplendoros 2.2 1.249 [3, 0, 2, 1, 4, 3, 2, 4, 1, 2] esplendorosa 2.2 1.249 [3, 0, 2, 1, 4, 3, 2, 4, 1, 2] splendrous 2.2 1.16619 [4, 4, 3, 2, 1, 1, 3, 1, 2, 1] sprightly 2.0 0.89443 [0, 2, 3, 2, 2, 1, 2, 3, 3, 2] squelched -1.0 0.63246 [-1, -1, -1, -1, 0, -2, -1, 0, -1, -2] stab -2.8 0.6 [-3, -2, -2, -3, -3, -3, -3, -2, -4, -3] stabbed -1.9 1.22066 [-2, -1, -3, -2, -2, 1, -3, -3, -1, -3] stable 1.2 0.74833 [1, 2, 2, 0, 1, 2, 1, 1, 2, 0] stabs -1.9 1.13578 [-3, -3, -4, 0, -1, -2, -2, -2, -1, -1] stall -0.8 0.74833 [-1, 0, -1, 0, -1, 0, -2, 0, -2, -1] stalled -0.8 0.87178 [-2, -1, 0, -1, -1, 0, 1, -2, -1, -1] stalling -0.8 1.4 [-3, -2, -1, -1, 0, 2, 1, -2, -1, -1] stamina 1.2 0.9798 [1, 0, 3, 0, 1, 2, 2, 1, 2, 0] stammer -0.9 0.3 [-1, 0, -1, -1, -1, -1, -1, -1, -1, -1] stammered -0.9 0.7 [-2, -1, -1, -1, 1, -1, -1, -1, -1, -1] stammerer -1.1 0.3 [-1, -2, -1, -1, -1, -1, -1, -1, -1, -1] stammerers -0.8 0.4 [-1, -1, -1, -1, -1, 0, 0, -1, -1, -1] stammering -1.0 0.63246 [-2, -1, 0, -1, -1, -2, 0, -1, -1, -1] stammers -0.8 0.4 [-1, -1, -1, 0, -1, -1, -1, 0, -1, -1] stampede -1.8 1.07703 [-2, -3, -2, -3, 0, 0, -2, -1, -2, -3] stank -1.9 1.04403 [-2, -2, -2, -1, -2, -4, -3, 0, -1, -2] startle -1.3 0.64031 [-1, -1, -1, -1, -1, -2, -1, -1, -3, -1] startled -0.7 0.78102 [-2, -1, -1, 0, 1, -1, -1, 0, -1, -1] startlement -0.5 1.20416 [-1, 0, 0, 1, -1, -1, 2, -2, -1, -2] startlements 0.2 1.32665 [2, 2, 0, 0, -1, 2, 0, -2, -1, 0] startler -0.8 0.74833 [-2, -1, -1, 0, 1, -1, -1, -1, -1, -1] startlers -0.5 0.80623 [0, 0, 0, 0, -1, -1, -1, 1, -1, -2] startles -0.5 1.36015 [-2, 2, -1, 0, 2, -1, -1, -2, -1, -1] startling 0.3 1.41774 [-2, 2, -1, 0, -1, 2, -1, 1, 1, 2] startlingly -0.3 0.9 [-1, -1, 0, -2, 1, 0, 1, 0, -1, 0] starve -1.9 2.02237 [2, -3, -4, -1, -3, -4, -1, -2, 1, -4] starved -2.6 1.11355 [-3, -4, -1, -3, -3, -4, -1, -1, -3, -3] starves -2.3 0.78102 [-3, -2, -2, -3, -2, -3, -1, -1, -3, -3] starving -1.8 2.03961 [-2, -2, -4, -4, -3, -3, 2, 2, -2, -2] steadfast 1.0 1.0 [0, 0, 2, 1, 1, 2, 3, 0, 1, 0] steal -2.2 0.6 [-2, -2, -2, -3, -3, -3, -1, -2, -2, -2] stealable -1.7 1.00499 [-3, -1, -2, -1, -2, -1, -1, -1, -4, -1] stealer -1.7 0.78102 [-2, -2, -1, -2, -3, -1, -2, -2, -2, 0] stealers -2.2 0.74833 [-2, -2, -2, -4, -2, -2, -3, -1, -2, -2] stealing -2.7 0.9 [-3, -2, -2, -4, -4, -3, -1, -3, -2, -3] stealings -1.9 0.9434 [-2, -2, -1, -1, -1, -3, -4, -2, -1, -2] steals -2.3 0.64031 [-4, -2, -2, -3, -2, -2, -2, -2, -2, -2] stealth -0.3 1.34536 [-2, 1, 1, -1, 0, -3, 0, 1, -1, 1] stealthier -0.3 1.00499 [0, 0, -3, 0, 0, 1, 0, -1, 0, 0] stealthiest 0.4 2.10713 [-1, 2, 1, 1, 3, 4, -1, 0, -2, -3] stealthily 0.1 1.37477 [2, 0, 0, -1, 1, 0, -3, 2, 0, 0] stealthiness 0.2 0.74833 [1, 0, 0, -1, 1, 0, -1, 0, 1, 1] stealths -0.3 0.78102 [-2, 0, 0, -1, 0, 1, -1, 0, 0, 0] stealthy -0.1 0.7 [0, 0, 0, -1, 1, -1, -1, 0, 1, 0] stench -2.3 0.64031 [-3, -2, -2, -3, -3, -1, -3, -2, -2, -2] stenches -1.5 1.11803 [-2, -2, -1, -3, 0, 0, -3, -2, 0, -2] stenchful -2.4 0.91652 [-3, -1, -3, -1, -2, -2, -3, -4, -2, -3] stenchy -2.3 1.00499 [-4, -1, -2, -3, -1, -1, -2, -3, -3, -3] stereotype -1.3 0.78102 [-1, -1, -2, 0, -2, 0, -2, -1, -2, -2] stereotyped -1.2 0.4 [-1, -1, -2, -1, -2, -1, -1, -1, -1, -1] stifled -1.4 0.66332 [-1, -1, -1, -1, -3, -1, -2, -2, -1, -1] stimulate 0.9 0.83066 [1, 0, 1, 1, 1, 2, -1, 2, 1, 1] stimulated 0.9 0.7 [1, 0, 0, 0, 1, 1, 2, 1, 2, 1] stimulates 1.0 0.89443 [1, 0, 0, 0, 1, 1, 2, 1, 3, 1] stimulating 1.9 0.7 [2, 3, 2, 1, 3, 2, 1, 2, 1, 2] stingy -1.6 0.8 [-1, 0, -2, -2, -1, -1, -2, -2, -3, -2] stink -1.7 0.64031 [-2, -2, -1, -3, -2, -1, -1, -2, -1, -2] stinkard -2.3 0.9 [-2, -3, -3, -2, -3, -2, -3, -3, 0, -2] stinkards -1.0 1.26491 [-2, -1, 2, -2, -1, -1, 0, -3, -1, -1] stinkbug -0.2 0.4 [-1, 0, 0, 0, 0, 0, 0, 0, -1, 0] stinkbugs -1.0 1.26491 [0, 0, 0, -4, -1, -2, -1, 0, -2, 0] stinker -1.5 0.80623 [-3, -1, -3, -1, -1, -2, -1, -1, -1, -1] stinkers -1.2 1.07703 [-3, 1, -1, -2, -2, -1, -1, -2, 0, -1] stinkhorn -0.2 1.16619 [-2, -2, 0, 0, -1, 0, 1, 2, 0, 0] stinkhorns -0.8 0.9798 [0, -3, 0, -2, 0, 0, -1, -1, -1, 0] stinkier -1.5 1.0247 [-2, -1, -2, -2, -1, 1, -2, -1, -3, -2] stinkiest -2.1 1.57797 [-1, -2, -3, -4, -2, -1, 1, -4, -1, -4] stinking -2.4 0.91652 [-2, -4, -2, -3, -3, -1, -2, -1, -3, -3] stinkingly -1.3 1.55242 [-2, -3, -3, -2, -2, 1, -2, 2, -1, -1] stinko -1.5 0.80623 [-1, -2, -2, -2, 0, -1, -2, -1, -1, -3] stinkpot -2.5 0.92195 [-4, -1, -3, -4, -2, -2, -3, -2, -2, -2] stinkpots -0.7 1.26886 [-1, -3, -2, -1, 0, 2, 0, -1, 0, -1] stinks -1.0 1.34164 [-2, -2, -1, -2, 2, -1, -2, 1, -1, -2] stinkweed -0.4 1.0198 [-2, 0, -1, 0, 2, 0, -1, -1, 0, -1] stinkwood -0.1 1.13578 [0, -2, 0, 0, 0, -2, 1, 0, 2, 0] stinky -1.5 0.5 [-2, -1, -1, -2, -1, -1, -2, -2, -1, -2] stolen -2.2 0.9798 [-3, -2, -2, -1, -3, -2, -3, 0, -3, -3] furtat -2.2 0.9798 [-3, -2, -2, -1, -3, -2, -3, 0, -3, -3] robatori -2.2 0.9798 [-3, -2, -2, -1, -3, -2, -3, 0, -3, -3] furtat -2.2 0.9798 [-3, -2, -2, -1, -3, -2, -3, 0, -3, -3] espoli -2.2 0.9798 [-3, -2, -2, -1, -3, -2, -3, 0, -3, -3] stop -1.2 0.87178 [-1, 0, -2, -2, 0, -1, -2, -2, 0, -2] stopped -0.9 0.53852 [-1, -1, -1, -1, -2, -1, -1, -1, 0, 0] stopping -0.6 0.66332 [-1, 0, 0, -1, 0, 0, 0, -1, -2, -1] stops -0.6 0.8 [-1, -1, 0, 0, -2, 0, -2, 0, 0, 0] stout 0.7 1.34536 [2, 0, 3, 1, 2, 1, 0, 0, -2, 0] straight 0.9 1.04403 [2, 0, 1, 0, 0, 0, 1, 2, 3, 0] strain -0.2 0.9798 [0, 0, -2, 0, -1, 2, 0, -1, 0, 0] strained -1.7 0.78102 [0, -2, -1, -1, -2, -2, -2, -3, -2, -2] strainer -0.8 1.249 [2, -2, -1, 0, -1, 0, -2, 0, -2, -2] strainers -0.3 0.45826 [0, 0, 0, 0, -1, -1, 0, -1, 0, 0] straining -1.3 0.78102 [0, -3, -2, -1, -1, -1, -1, -1, -2, -1] strains -1.2 0.4 [-1, -1, -1, -2, -1, -2, -1, -1, -1, -1] strange -0.8 0.74833 [0, -1, -1, 0, -2, 0, -1, -2, 0, -1] strangely -1.2 0.87178 [0, -1, -2, -2, 0, -3, -1, -1, -1, -1] strangled -2.5 1.0247 [-1, -1, -3, -3, -3, -3, -1, -4, -3, -3] strength 2.2 0.6 [1, 2, 2, 3, 2, 3, 3, 2, 2, 2] strengthen 1.3 0.64031 [1, 1, 2, 1, 2, 1, 2, 0, 2, 1] strengthened 1.8 0.4 [2, 2, 2, 2, 1, 2, 2, 1, 2, 2] strengthener 1.8 0.6 [2, 0, 2, 2, 2, 2, 2, 2, 2, 2] strengtheners 1.4 0.91652 [1, 2, 1, 2, 3, 0, 2, 0, 2, 1] strengthening 2.2 0.74833 [3, 3, 1, 1, 2, 2, 2, 2, 3, 3] strengthens 2.0 0.63246 [3, 2, 1, 2, 2, 3, 2, 1, 2, 2] strengths 1.7 0.64031 [2, 1, 3, 1, 2, 1, 2, 1, 2, 2] stress -1.8 0.6 [-1, -2, -2, -1, -2, -1, -2, -3, -2, -2] stressed -1.4 0.4899 [-1, -1, -1, -2, -2, -1, -2, -2, -1, -1] stresses -2.0 1.0 [-3, -3, -2, -1, -2, 0, -2, -1, -3, -3] stressful -2.3 0.45826 [-2, -2, -2, -2, -3, -3, -2, -3, -2, -2] stressfully -2.6 0.66332 [-2, -3, -1, -3, -3, -3, -3, -2, -3, -3] stressing -1.5 0.67082 [-1, -2, -1, -1, -3, -1, -2, -2, -1, -1] stressless 1.6 0.4899 [1, 2, 1, 2, 1, 2, 1, 2, 2, 2] stresslessness 1.6 0.8 [1, 3, 1, 3, 2, 1, 2, 1, 1, 1] stressor -1.8 0.74833 [-2, -1, -1, -2, -3, -2, -1, -2, -3, -1] stressors -2.1 0.83066 [-3, -2, -2, -2, -3, -1, -3, -1, -1, -3] stricken -2.3 0.9 [0, -2, -2, -2, -2, -3, -3, -3, -3, -3] strike -0.5 1.11803 [0, 0, 0, -2, -2, 1, 1, -2, -1, 0] strikers -0.6 1.0198 [0, 0, -2, -3, 0, 0, -1, 0, 0, 0] strikes -1.5 0.92195 [0, -2, -2, -2, -3, -1, -2, -1, 0, -2] strong 2.3 0.78102 [3, 2, 3, 3, 1, 1, 3, 2, 2, 3] strongbox 0.7 0.78102 [2, 1, 0, 0, 0, 1, 2, 1, 0, 0] strongboxes 0.3 0.64031 [0, 0, 0, 0, 0, 1, 0, 2, 0, 0] stronger 1.6 0.66332 [2, 1, 1, 1, 2, 3, 2, 1, 2, 1] strongest 1.9 0.9434 [2, 3, 2, 1, 2, 2, 0, 3, 1, 3] stronghold 0.5 0.80623 [0, 2, 0, 0, 2, 0, 0, 0, 0, 1] strongholds 1.0 0.89443 [2, 2, 0, 1, 2, 2, 1, 0, 0, 0] strongish 1.7 0.78102 [1, 1, 2, 3, 1, 2, 1, 3, 2, 1] strongly 1.1 0.83066 [0, 0, 2, 2, 0, 1, 2, 2, 1, 1] strongman 0.7 1.00499 [0, 1, 3, 0, 1, -1, 1, 1, 0, 1] strongmen 0.5 1.11803 [-1, 0, 0, 3, 0, 1, 0, 2, 0, 0] strongyl 0.6 1.0198 [0, 1, 0, 0, 0, 0, 0, 2, 3, 0] strongyles 0.2 1.07703 [0, -2, 1, 1, -1, 1, 0, 0, 2, 0] strongyloidosis -0.8 1.66132 [-2, -3, 0, 0, -2, -2, 2, -2, 2, -1] strongyls 0.1 0.3 [0, 0, 1, 0, 0, 0, 0, 0, 0, 0] struck -1.0 0.89443 [-1, -2, -1, 0, -2, -2, -1, -1, 1, -1] struggle -1.3 0.45826 [-2, -1, -2, -1, -2, -1, -1, -1, -1, -1] struggled -1.4 0.66332 [-2, -2, -1, -1, -1, -1, -2, -2, 0, -2] struggler -1.1 0.7 [-1, -1, -1, -1, 0, -1, -2, -2, 0, -2] strugglers -1.4 0.4899 [-1, -2, -1, -1, -2, -1, -2, -2, -1, -1] struggles -1.5 0.5 [-2, -2, -1, -1, -1, -1, -2, -2, -1, -2] struggling -1.8 0.6 [-2, -2, -2, -2, -1, -1, -2, -2, -3, -1] stubborn -1.7 1.00499 [0, -1, -2, -2, -2, -4, -1, -2, -1, -2] stubborner -1.5 1.20416 [-2, -3, -1, -1, -2, 1, -3, -2, 0, -2] stubbornest -0.6 1.62481 [-2, 4, -2, -1, -1, 0, -1, -1, -1, -1] stubbornly -1.4 0.4899 [-2, -2, -1, -2, -1, -1, -2, -1, -1, -1] stubbornness -1.1 0.53852 [-1, -1, 0, -2, -1, -1, -1, -2, -1, -1] stubbornnesses -1.5 0.80623 [-1, -2, -3, -1, -1, -3, -1, -1, -1, -1] stuck -1.0 0.44721 [-1, -1, -1, -1, 0, -1, -1, -1, -1, -2] stunk -1.6 1.68523 [-2, -2, -3, 2, -2, -3, -3, 1, -1, -3] stunned -0.4 1.28062 [-1, -3, -1, 0, -1, -1, 0, 2, 1, 0] stunning 1.6 1.42829 [0, 0, 3, 2, 2, 4, 3, 0, 2, 0] stuns 0.1 1.04403 [1, 0, -1, -2, 0, 1, 1, -1, 1, 1] estupit -2.4 0.66332 [-2, -3, -3, -2, -3, -3, -2, -1, -2, -3] stupider -2.5 0.5 [-3, -2, -3, -3, -2, -2, -3, -2, -3, -2] estupidesa -2.4 0.66332 [-2, -3, -2, -3, -1, -3, -3, -2, -2, -3] estupidesses -2.0 0.7746 [-2, -3, -2, -1, -3, -1, -3, -1, -2, -2] stupidity -1.9 0.3 [-2, -2, -2, -2, -2, -2, -1, -2, -2, -2] stupidly -2.0 0.7746 [-1, -2, -3, -3, -1, -3, -2, -1, -2, -2] stupidness -1.7 0.64031 [-3, -1, -2, -1, -2, -1, -2, -2, -1, -2] stupidnesses -2.6 0.8 [-2, -2, -2, -4, -4, -3, -3, -2, -2, -2] stupids -2.3 0.64031 [-2, -3, -1, -3, -2, -3, -3, -2, -2, -2] stutter -1.0 0.0 [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1] stuttered -0.9 1.04403 [-1, -1, 2, -1, -1, -1, -2, -2, -1, -1] stutterer -1.0 1.18322 [-1, -1, 2, -1, -1, -1, -3, -2, -1, -1] stutterers -1.1 0.53852 [-1, -1, -1, 0, -1, -1, -2, -2, -1, -1] stuttering -1.3 0.9 [-1, -1, -1, 0, -3, -1, -1, -1, -3, -1] stutters -1.0 0.63246 [-1, -1, -1, -2, 0, -2, 0, -1, -1, -1] suau 2.0 0.44721 [2, 3, 2, 2, 2, 1, 2, 2, 2, 2] tendre 2.0 0.44721 [2, 3, 2, 2, 2, 1, 2, 2, 2, 2] submissive -1.3 0.9 [-1, 0, -1, -3, -1, 0, -1, -2, -2, -2] submissively -1.0 1.18322 [-1, -1, -1, -1, 2, -1, -1, -2, -3, -1] submissiveness -0.7 0.78102 [-2, 0, -1, 0, -1, 0, -2, 0, -1, 0] substantial 0.8 0.6 [2, 0, 1, 1, 0, 0, 1, 1, 1, 1] subversive -0.9 1.81384 [-3, 0, -4, -1, -2, -1, 2, -1, 2, -1] succeed 2.2 0.74833 [2, 3, 2, 2, 2, 1, 2, 4, 2, 2] succeeded 1.8 0.87178 [2, 2, 1, 2, 2, 0, 2, 3, 3, 1] succeeder 1.2 1.07703 [1, 0, 0, 2, 2, 0, 0, 3, 2, 2] succeeders 1.3 0.64031 [2, 0, 2, 1, 2, 1, 1, 1, 1, 2] succeeding 2.2 1.16619 [2, 3, 0, 3, 4, 3, 1, 1, 2, 3] succeeds 2.2 0.9798 [4, 1, 4, 1, 2, 2, 2, 2, 2, 2] success 2.7 0.64031 [4, 3, 2, 2, 3, 2, 3, 3, 2, 3] successes 2.6 0.66332 [2, 4, 3, 3, 2, 3, 2, 2, 3, 2] successful 2.8 0.6 [3, 3, 2, 3, 4, 3, 3, 3, 2, 2] successfully 2.2 0.6 [2, 2, 1, 2, 2, 2, 3, 3, 2, 3] successfulness 2.7 0.78102 [3, 3, 4, 3, 3, 2, 3, 2, 1, 3] succession 0.8 0.87178 [2, 0, 1, 2, 0, 2, 1, 0, 0, 0] successional 0.9 1.04403 [0, 1, 0, 2, 3, 0, 0, 1, 2, 0] successionally 1.1 1.13578 [2, 2, 0, 0, 0, 0, 2, 3, 0, 2] successions 0.1 0.3 [0, 0, 0, 0, 0, 0, 0, 1, 0, 0] successive 1.1 1.13578 [3, 0, 0, 1, 3, 2, 1, 0, 1, 0] successively 0.9 1.04403 [1, 0, 0, 1, 3, 0, 2, 0, 2, 0] successiveness 1.0 1.0 [0, 1, 2, 0, 3, 1, 1, 2, 0, 0] successor 0.9 0.83066 [0, 2, 0, 0, 1, 2, 2, 1, 1, 0] successors 1.1 1.04403 [2, 0, 1, 2, 0, 1, 3, 0, 2, 0] suck -1.9 1.04403 [-1, -1, -1, -2, -1, -1, -3, -4, -3, -2] sucked -2.0 0.89443 [-2, -2, -1, -1, -1, -3, -4, -2, -2, -2] sucker -2.4 1.2 [-3, -1, -1, -2, -1, -4, -4, -2, -4, -2] suckered -2.0 1.0 [-2, -1, -1, -3, -3, -1, -1, -2, -2, -4] suckering -2.1 0.7 [-2, -3, -2, -1, -2, -3, -3, -2, -1, -2] suckers -2.3 1.00499 [-2, -1, -2, -4, -1, -2, -3, -2, -4, -2] sucks -1.5 1.28452 [-1, -2, -2, -1, -3, -4, -1, 1, -1, -1] sucky -1.9 0.9434 [-1, -2, -2, -1, -2, -4, -1, -1, -3, -2] suffer -2.5 0.67082 [-3, -3, -2, -2, -3, -3, -3, -2, -1, -3] suffered -2.2 0.74833 [-3, -2, -1, -3, -2, -3, -1, -3, -2, -2] sufferer -2.0 0.63246 [-3, -2, -2, -2, -2, -3, -1, -2, -2, -1] sufferers -2.4 0.8 [-1, -3, -3, -2, -1, -2, -3, -3, -3, -3] suffering -2.1 0.83066 [-2, -1, -3, -2, -1, -2, -3, -3, -1, -3] suffers -2.1 0.7 [-3, -2, -1, -2, -2, -2, -3, -1, -3, -2] suicidal -3.5 0.67082 [-4, -4, -4, -4, -3, -4, -3, -3, -2, -4] suicide -3.5 0.67082 [-4, -3, -4, -4, -4, -2, -3, -4, -4, -3] suing -1.1 1.13578 [1, -1, -1, 0, -1, -3, -1, -1, -3, -1] sulking -1.5 0.67082 [-2, -1, -3, -1, -1, -2, -1, -2, -1, -1] sulky -0.8 1.77764 [-3, 3, -2, -3, 0, -2, 0, -1, 1, -1] sullen -1.7 1.00499 [0, -2, -2, -1, -1, -4, -2, -1, -2, -2] sunnier 2.3 0.64031 [3, 2, 3, 2, 3, 2, 2, 1, 3, 2] sunniest 2.4 1.28062 [2, 0, 4, 2, 1, 3, 2, 4, 4, 2] sunny 1.8 0.87178 [2, 2, 1, 2, 0, 2, 3, 3, 2, 1] amaneixer 2.2 0.6 [3, 1, 2, 2, 2, 2, 2, 3, 3, 2] sunshiny 1.9 0.7 [2, 2, 3, 1, 2, 2, 1, 3, 1, 2] super 2.9 0.7 [4, 2, 4, 3, 3, 3, 2, 3, 2, 3] superb 3.1 0.9434 [3, 4, 2, 4, 3, 1, 3, 3, 4, 4] superior 2.5 1.11803 [2, 3, 1, 3, 3, 0, 3, 3, 4, 3] superiorities 0.8 1.6 [-1, 1, 3, -1, -1, 2, 2, 1, 3, -1] superioritat 1.4 1.2 [0, 1, -1, 3, 1, 2, 2, 2, 3, 1] superiorly 2.2 1.4 [4, 3, 1, 2, 3, -1, 2, 4, 2, 2] superiors 1.0 1.0 [3, 0, 0, 1, 2, 1, 1, 2, 0, 0] support 1.7 0.9 [1, 1, 1, 2, 1, 3, 3, 3, 1, 1] supported 1.3 0.45826 [2, 1, 2, 1, 1, 2, 1, 1, 1, 1] supporter 1.1 0.3 [1, 1, 1, 1, 1, 2, 1, 1, 1, 1] supporters 1.9 0.7 [1, 1, 1, 2, 2, 3, 2, 2, 3, 2] supporting 1.9 0.9434 [3, 2, 1, 1, 3, 3, 1, 1, 3, 1] supportive 1.2 0.4 [1, 1, 1, 1, 1, 2, 2, 1, 1, 1] supportiveness 1.5 1.11803 [3, 1, 2, 1, 3, 2, 2, 1, -1, 1] supports 1.5 0.67082 [2, 1, 2, 0, 2, 2, 2, 1, 1, 2] supremacies 0.8 1.72047 [3, -2, 3, 0, 0, 2, -1, 3, 0, 0] supremacist 0.5 2.15639 [3, 2, -3, 1, 2, 2, 2, -2, 1, -3] supremacista -1.0 1.89737 [-4, -2, -1, -3, -2, 2, 2, 0, 0, -2] supremacia 0.2 1.77764 [-1, -2, 0, 3, 2, 0, -3, 0, 1, 2] suprematists 0.4 1.56205 [2, 1, 0, 0, 2, 2, 2, -2, -1, -2] supreme 2.6 1.11355 [2, 3, 2, 1, 4, 2, 1, 3, 4, 4] supremely 2.7 1.00499 [2, 4, 1, 4, 2, 4, 2, 3, 2, 3] supremeness 2.3 0.64031 [1, 2, 2, 3, 3, 2, 2, 3, 3, 2] supremer 2.3 1.1 [4, 3, 3, 0, 1, 2, 3, 2, 3, 2] supremest 2.2 1.98997 [4, 3, 1, 0, 4, 4, -2, 3, 1, 4] supremo 1.9 1.3 [1, 0, 3, 0, 4, 3, 1, 3, 2, 2] supremos 1.3 0.78102 [0, 2, 2, 1, 0, 2, 2, 1, 2, 1] sure 1.3 0.64031 [1, 1, 3, 1, 1, 2, 1, 1, 1, 1] surefire 1.0 0.7746 [1, 1, 0, 2, 2, 1, 0, 1, 2, 0] surefooted 1.9 0.83066 [0, 3, 2, 2, 2, 2, 1, 2, 3, 2] surefootedly 1.6 0.91652 [1, 1, 2, 0, 2, 1, 3, 3, 1, 2] surefootedness 1.5 1.20416 [2, 1, 4, 1, 0, 3, 2, 1, 1, 0] surely 1.9 0.7 [2, 2, 2, 1, 1, 1, 3, 2, 3, 2] sureness 2.0 0.7746 [2, 3, 2, 1, 2, 1, 3, 3, 2, 1] surer 1.2 1.32665 [1, 1, 3, 1, 3, 2, 1, -2, 1, 1] surest 1.3 0.78102 [2, 0, 2, 2, 2, 1, 0, 1, 1, 2] sureties 1.3 0.9 [2, 0, 2, 0, 2, 2, 1, 2, 0, 2] surety 1.0 0.44721 [1, 1, 1, 1, 1, 0, 1, 1, 2, 1] suretyship -0.1 1.51327 [-1, 0, 0, -2, -1, 2, -2, 3, 0, 0] suretyships 0.4 0.66332 [0, 0, 0, 1, 0, 0, 1, 0, 0, 2] surprisal 1.5 0.80623 [3, 1, 1, 2, 1, 2, 2, 1, 2, 0] surprisals 0.7 1.1 [0, 0, 0, 0, 0, 0, 0, 2, 2, 3] sopresa 1.1 1.04403 [0, 2, 0, 2, 3, 0, 1, 1, 2, 0] sorprès 0.9 0.9434 [2, 0, 0, 0, 0, 2, 2, 1, 2, 0] surpriser 0.6 0.66332 [2, 0, 0, 0, 0, 1, 1, 1, 1, 0] surprisers 0.3 1.00499 [2, 0, 1, 1, 0, 0, -2, 1, 0, 0] surprises 0.9 0.7 [2, 0, 0, 0, 1, 1, 2, 1, 1, 1] surprising 1.1 0.9434 [1, 1, 1, 0, 0, 2, 0, 1, 3, 2] sorprenentment 1.2 0.87178 [1, 0, 2, 0, 0, 2, 2, 1, 2, 2] survived 2.3 0.78102 [3, 4, 2, 2, 2, 1, 2, 3, 2, 2] surviving 1.2 0.87178 [1, 3, 1, 0, 2, 0, 1, 1, 1, 2] sobrevivent 1.5 1.0247 [1, 3, 2, 3, 1, 0, 0, 1, 2, 2] sospita -1.2 0.9798 [0, -1, -1, -2, -2, -2, 1, -1, -2, -2] sospite -1.2 0.9798 [0, -1, -1, -2, -2, -2, 1, -1, -2, -2] suspected -0.9 1.13578 [-1, 0, -1, -2, -1, -1, -2, 2, -2, -1] suspecting -0.7 1.34536 [-1, 2, -1, -1, -1, 1, -2, -1, -3, 0] suspects -1.4 0.91652 [-2, -2, -2, -1, -2, -1, -2, -2, 1, -1] suspend -1.3 0.64031 [0, -2, -1, -2, -1, -1, -2, -1, -2, -1] suspended -2.1 0.83066 [-2, -1, -2, -3, -3, -1, -3, -1, -2, -3] suspicion -1.6 0.91652 [-2, -2, -1, -2, 1, -2, -2, -2, -2, -2] suspicions -1.5 0.67082 [-1, -2, -1, -2, -1, -1, -3, -1, -2, -1] suspicious -1.5 0.67082 [-1, -2, -1, -1, -2, -1, -2, -1, -3, -1] suspiciously -1.7 0.45826 [-2, -2, -1, -2, -1, -2, -2, -1, -2, -2] suspiciousness -1.2 1.46969 [-2, -3, -2, -1, -1, 1, 2, -2, -2, -2] sux -1.5 0.92195 [-1, -1, -2, -1, -2, -1, -3, 0, -3, -1] swear -0.2 1.53623 [-2, 2, -1, 1, 1, 0, -1, -2, 2, -2] swearing -1.0 1.09545 [0, -2, -1, -1, -2, 0, 1, -3, -1, -1] swears 0.2 1.4 [1, -2, 2, 0, 1, -2, -1, 2, 1, 0] sweet 2.0 0.63246 [1, 2, 2, 2, 3, 3, 2, 1, 2, 2] sweet<3 3.0 0.44721 [3, 3, 3, 3, 4, 2, 3, 3, 3, 3] nuvia 3.3 1.00499 [4, 1, 3, 4, 4, 4, 2, 3, 4, 4] nuvi 3.3 1.00499 [4, 1, 3, 4, 4, 4, 2, 3, 4, 4] sweethearts 2.8 0.87178 [2, 2, 2, 4, 3, 2, 4, 3, 4, 2] sweetie 2.2 0.6 [2, 3, 3, 2, 1, 3, 2, 2, 2, 2] sweeties 2.1 0.9434 [1, 2, 2, 3, 2, 1, 2, 4, 3, 1] sweetly 2.1 0.7 [1, 2, 2, 2, 2, 2, 1, 3, 3, 3] sweetness 2.2 0.74833 [3, 2, 3, 1, 2, 2, 3, 3, 2, 1] sweets 2.2 0.6 [2, 1, 3, 2, 2, 2, 3, 2, 3, 2] ràpid 0.8 0.6 [1, 0, 1, 1, 0, 2, 0, 1, 1, 1] ràpida 0.8 0.6 [1, 0, 1, 1, 0, 2, 0, 1, 1, 1] swiftly 1.2 0.9798 [0, 3, 1, 0, 1, 1, 1, 3, 1, 1] swindle -2.4 1.0198 [-1, -4, -1, -3, -3, -2, -2, -2, -4, -2] swindles -1.5 0.92195 [0, -2, -2, -3, -2, -1, -1, 0, -2, -2] swindling -2.0 1.0 [-2, -2, -2, -4, -1, 0, -3, -2, -2, -2] simpàtic 2.3 0.64031 [3, 3, 2, 2, 3, 3, 2, 2, 1, 2] simpatia 1.5 1.11803 [-1, 2, 3, 2, 1, 1, 1, 2, 1, 3] talent 1.8 1.07703 [3, 1, 2, 2, 0, 3, 3, 2, 2, 0] talentos 2.3 0.64031 [1, 2, 2, 3, 2, 3, 3, 2, 3, 2] talentless -1.6 0.4899 [-2, -2, -2, -1, -2, -1, -1, -1, -2, -2] talents 2.0 1.18322 [2, 4, 1, 2, 0, 2, 4, 2, 2, 1] tantrum -1.8 1.16619 [-3, -2, -2, -3, -1, 0, -1, 0, -3, -3] tantrums -1.5 1.36015 [-1, -2, -4, -2, -2, -1, -1, 0, 1, -3] tard -2.5 0.92195 [-3, -3, -3, -2, -2, -3, -1, -4, -1, -3] llàgrimes -0.9 1.13578 [0, -2, -2, -1, -1, -2, -2, 1, 1, -1] teas 0.3 0.45826 [1, 0, 0, 0, 0, 1, 0, 1, 0, 0] broma -1.3 0.9 [0, -1, -1, -2, -1, 0, -3, -2, -1, -2] teased -1.2 0.87178 [0, -2, -2, -1, -1, -1, 0, -3, -1, -1] teasel -0.1 0.3 [0, -1, 0, 0, 0, 0, 0, 0, 0, 0] teaseled -0.8 0.74833 [-1, 0, -1, 0, 0, -1, -2, -1, -2, 0] teaseler -0.8 0.87178 [0, 0, -2, 0, 0, -1, -2, -1, -2, 0] teaselers -1.2 1.249 [0, -3, 0, 0, 0, -3, -2, -2, -2, 0] teaseling -0.4 0.91652 [-1, 0, -3, 0, 0, 0, 0, 0, 0, 0] teaselled -0.4 0.91652 [0, -3, 0, 0, 0, 0, -1, 0, 0, 0] teaselling -0.2 0.4 [0, 0, 0, 0, -1, 0, -1, 0, 0, 0] teasels -0.1 0.3 [0, 0, 0, 0, 0, 0, 0, 0, -1, 0] bromista -1.0 1.18322 [0, -1, -3, -1, -1, -1, 0, -3, -1, 1] bromistes -0.7 1.1 [-1, -2, -3, -1, 0, 0, -1, 1, 0, 0] teases -1.2 0.74833 [-1, -1, 0, -1, -2, -1, -3, -1, -1, -1] teashops 0.2 0.4 [0, 1, 0, 1, 0, 0, 0, 0, 0, 0] teasing -0.3 1.1 [0, 0, 1, 1, -1, 0, 0, 0, -1, -3] teasingly -0.4 1.11355 [0, 1, 1, 0, -2, 0, -2, 0, -2, 0] teaspoon 0.2 0.4 [0, 0, 0, 0, 0, 0, 1, 0, 1, 0] teaspoonful 0.2 0.4 [0, 0, 0, 1, 0, 0, 1, 0, 0, 0] teaspoonfuls 0.4 0.8 [2, 0, 0, 0, 0, 0, 0, 0, 2, 0] teaspoons 0.5 0.80623 [0, 0, 0, 2, 0, 0, 1, 2, 0, 0] teaspoonsful 0.3 0.9 [2, 0, 0, 0, 0, 2, 0, -1, 0, 0] temper -1.8 0.4 [-1, -2, -2, -2, -2, -2, -2, -2, -1, -2] tempers -1.3 0.64031 [-1, -1, 0, -1, -1, -2, -2, -2, -1, -2] tendered 0.5 0.92195 [0, 0, 2, 1, -1, -1, 1, 1, 1, 1] tenderer 0.6 0.66332 [0, 1, 1, 0, 0, 0, 2, 1, 1, 0] tenderers 1.2 0.9798 [2, 0, 0, 1, 0, 2, 3, 1, 1, 2] tenderest 1.4 1.56205 [2, 1, 3, -1, 0, 2, 2, 2, -1, 4] tenderfeet -0.4 0.91652 [-1, -1, 0, 0, -1, 0, -1, -2, 1, 1] tenderfoot -0.1 0.53852 [-1, 1, 0, 0, 0, 0, 0, -1, 0, 0] tenderfoots -0.5 1.11803 [1, -1, 0, 0, 0, -1, -1, 1, -3, -1] tenderhearted 1.5 1.0247 [2, 2, 1, 2, 3, 1, 1, -1, 2, 2] tenderheartedly 2.7 0.64031 [2, 2, 2, 3, 3, 3, 3, 4, 3, 2] tenderheartedness 0.7 1.48661 [1, 3, 2, 2, -1, -1, 1, -2, 1, 1] tenderheartednesses 2.8 0.74833 [2, 3, 3, 2, 3, 3, 4, 4, 2, 2] tendering 0.6 0.66332 [0, 0, 1, 1, 1, 0, 0, 1, 2, 0] tenderization 0.2 0.74833 [-1, 2, 0, 0, 0, 1, 0, 0, 0, 0] tenderize 0.1 0.53852 [0, 0, 0, 0, 0, -1, 0, 1, 0, 1] tenderized 0.1 0.53852 [0, 1, 0, 1, 0, 0, -1, 0, 0, 0] tenderizer 0.4 0.66332 [0, 1, 0, 1, 0, 0, 2, 0, 0, 0] tenderizes 0.3 0.45826 [0, 1, 0, 1, 0, 0, 1, 0, 0, 0] tenderizing 0.3 0.45826 [1, 1, 0, 0, 0, 1, 0, 0, 0, 0] tenderloin -0.2 0.74833 [0, 0, 0, 0, -2, 0, 1, 0, -1, 0] tenderloins 0.4 0.66332 [1, 0, 0, 0, 2, 0, 0, 1, 0, 0] tenderly 1.8 0.74833 [2, 1, 2, 1, 3, 2, 1, 2, 3, 1] tenderness 1.8 0.4 [2, 2, 1, 2, 2, 2, 2, 1, 2, 2] tendernesses 0.9 1.44568 [1, 2, 1, 1, 3, -1, -2, 2, 2, 0] tenderometer 0.2 0.4 [1, 0, 0, 0, 0, 1, 0, 0, 0, 0] tenderometers 0.2 0.4 [0, 0, 1, 0, 0, 0, 0, 0, 1, 0] tenders 0.6 0.8 [0, 2, 0, 1, 1, 1, -1, 0, 1, 1] preocupat -1.4 0.4899 [-1, -1, -1, -1, -1, -2, -1, -2, -2, -2] preocupada -1.4 0.4899 [-1, -1, -1, -1, -1, -2, -1, -2, -2, -2] tensed -1.0 0.44721 [-1, 0, -1, -1, -1, -1, -2, -1, -1, -1] tensely -1.2 0.6 [-1, -2, -2, -2, -1, 0, -1, -1, -1, -1] tenseness -1.5 0.67082 [-1, -1, -1, -1, -1, -2, -2, -1, -2, -3] tenser -1.5 0.67082 [-2, -2, -1, -2, -1, -1, -3, -1, -1, -1] tenses -0.9 1.04403 [-1, -3, 0, 0, 0, -1, 0, -2, -2, 0] tensest -1.2 1.07703 [-2, 0, -2, -2, -2, 0, 1, -1, -2, -2] tensing -1.0 0.44721 [-1, -2, -1, 0, -1, -1, -1, -1, -1, -1] tension -1.3 1.00499 [-2, -1, -1, -1, -1, -2, -2, -3, 1, -1] tensional -0.8 0.74833 [-1, 0, -1, -1, -1, -2, 1, -1, -1, -1] tensioned -0.4 1.11355 [-2, 0, -1, 2, -1, 0, -1, -1, -1, 1] tensioner -1.6 0.8 [-1, -3, -2, -2, -2, 0, -1, -2, -1, -2] tensioners -0.9 1.04403 [-1, 0, -2, -2, -1, 1, -2, 0, 0, -2] tensioning -1.4 1.0198 [-1, -1, -1, -1, 0, -2, -3, -3, 0, -2] tensionless 0.6 0.8 [1, 1, 1, -1, 0, 0, 0, 2, 1, 1] tensions -1.7 0.78102 [-1, -3, -1, -1, -2, -2, -3, -1, -2, -1] terrible -2.1 0.9434 [-1, -3, -2, -1, -3, -1, -2, -2, -4, -2] terribleness -1.9 1.81384 [3, -3, -3, -3, -3, -1, -2, -1, -3, -3] terriblenesses -2.6 0.4899 [-2, -3, -3, -2, -3, -2, -2, -3, -3, -3] terribly -2.6 0.4899 [-3, -3, -3, -2, -2, -3, -3, -2, -2, -3] terrific 2.1 1.81384 [4, 3, 4, 1, -1, -1, 4, 2, 2, 3] terrifically 1.7 1.95192 [2, 2, 4, 2, 3, 3, -2, 3, -2, 2] terrified -3.0 0.63246 [-2, -3, -3, -3, -4, -3, -4, -2, -3, -3] terrifies -2.6 1.0198 [-2, -4, -3, -3, -4, -1, -2, -3, -1, -3] terrify -2.3 0.78102 [-3, -3, -2, -2, -1, -4, -2, -2, -2, -2] terrifying -2.7 0.78102 [-4, -3, -3, -2, -2, -2, -4, -2, -3, -2] terror -2.4 1.2 [-3, -4, -2, -1, 0, -4, -3, -2, -2, -3] terrorise -3.1 0.83066 [-2, -3, -4, -4, -3, -3, -2, -4, -2, -4] terrorised -3.3 0.64031 [-3, -3, -4, -3, -2, -4, -4, -3, -4, -3] terrorises -3.3 0.45826 [-3, -3, -4, -3, -3, -4, -4, -3, -3, -3] terrorising -3.0 0.44721 [-3, -3, -3, -3, -2, -3, -4, -3, -3, -3] terrorisme -3.6 0.4899 [-4, -3, -4, -4, -4, -3, -3, -4, -3, -4] terrorismes -3.2 0.6 [-4, -4, -4, -3, -3, -3, -2, -3, -3, -3] terrorista -3.7 0.45826 [-4, -3, -4, -4, -4, -3, -4, -4, -3, -4] terroristic -3.3 0.78102 [-4, -3, -2, -3, -4, -3, -4, -2, -4, -4] terroristes -3.1 0.9434 [-3, -4, -2, -2, -4, -2, -2, -4, -4, -4] terrorization -2.7 0.9 [-4, -4, -3, -2, -2, -4, -2, -2, -2, -2] terrorize -3.3 0.78102 [-4, -4, -3, -3, -4, -2, -2, -4, -3, -4] terrorized -3.1 0.7 [-2, -3, -2, -4, -4, -4, -3, -3, -3, -3] terrorizes -3.1 0.53852 [-2, -3, -3, -4, -3, -4, -3, -3, -3, -3] terrorizing -3.0 1.0 [-3, -1, -4, -4, -4, -3, -2, -3, -2, -4] terrorless 0.9 1.04403 [-2, 2, 1, 2, 1, 1, 1, 1, 1, 1] terrors -2.6 0.4899 [-2, -3, -3, -3, -2, -2, -3, -2, -3, -3] thank 1.5 0.92195 [3, 1, 1, 0, 1, 1, 2, 3, 1, 2] agraït 1.9 1.22066 [1, 3, 1, 1, 1, 1, 4, 4, 2, 1] thankful 2.7 0.78102 [4, 2, 2, 3, 2, 4, 3, 3, 2, 2] thankfuller 1.9 0.53852 [2, 2, 1, 2, 2, 2, 1, 2, 3, 2] thankfullest 2.0 1.0 [3, 1, 1, 4, 1, 2, 2, 2, 3, 1] thankfully 1.8 0.6 [2, 1, 2, 1, 2, 3, 2, 2, 1, 2] thankfulness 2.1 1.44568 [3, 3, 4, 2, 2, 1, -1, 1, 2, 4] gràcies 1.9 1.04403 [1, 1, 1, 1, 3, 2, 1, 4, 3, 2] lladre -2.4 0.66332 [-3, -2, -2, -2, -2, -4, -2, -2, -3, -2] thieve -2.2 0.4 [-2, -2, -2, -3, -2, -2, -3, -2, -2, -2] furtat -1.4 1.28062 [-1, -2, -3, -1, -2, 2, -2, -1, -2, -2] thieveries -2.1 0.53852 [-2, -3, -2, -3, -1, -2, -2, -2, -2, -2] thievery -2.0 0.89443 [-2, -2, -2, -1, -1, -3, -1, -2, -4, -2] lladres -2.3 0.78102 [-3, -2, -2, -4, -1, -2, -2, -2, -3, -2] espinos -1.1 0.83066 [1, -1, -1, -1, -1, -1, -1, -2, -2, -2] thoughtful 1.6 0.4899 [2, 2, 1, 1, 1, 1, 2, 2, 2, 2] thoughtfully 1.7 0.64031 [2, 1, 1, 3, 1, 2, 1, 2, 2, 2] thoughtfulness 1.9 0.53852 [1, 2, 1, 2, 2, 3, 2, 2, 2, 2] thoughtless -2.0 0.63246 [-2, -1, -3, -3, -2, -1, -2, -2, -2, -2] amenaça -2.4 0.66332 [-2, -3, -2, -2, -2, -4, -3, -2, -2, -2] threaten -1.6 1.56205 [-4, -1, -3, -2, 1, -3, -1, 1, -2, -2] amenaçat -2.0 0.63246 [-2, -2, -3, -2, -2, -1, -2, -3, -1, -2] threatener -1.4 1.68523 [-2, -2, -3, -2, 3, 0, -2, -3, -1, -2] threateners -1.8 0.74833 [-3, -1, -2, -1, -1, -3, -2, -2, -2, -1] threatening -2.4 0.8 [-3, -3, -2, -3, -2, -1, -3, -1, -3, -3] amenaçadorament -2.2 0.6 [-2, -2, -2, -2, -2, -2, -2, -2, -4, -2] threatens -1.6 1.56205 [-2, -2, -2, 1, -4, -3, -3, -1, 1, -1] threating -2.0 0.44721 [-3, -2, -2, -2, -1, -2, -2, -2, -2, -2] amenaçes -1.8 0.74833 [-1, -1, -1, -2, -2, -2, -3, -3, -2, -1] emocio 1.5 1.11803 [2, 2, 2, 0, 1, -1, 2, 3, 2, 2] thrilled 1.9 1.81384 [3, -1, 3, 3, 1, -2, 3, 3, 3, 3] thriller 0.4 1.2 [0, 0, 3, 1, 1, -2, 0, 1, 0, 0] thrillers 0.1 0.83066 [0, 2, 0, 0, 0, -1, 0, -1, 0, 1] thrilling 2.1 1.04403 [3, 0, 2, 3, 1, 3, 3, 2, 1, 3] thrillingly 2.0 0.7746 [0, 2, 2, 3, 3, 2, 2, 2, 2, 2] thrills 1.5 0.92195 [2, 3, 1, 2, 0, 2, 1, 0, 2, 2] thwarted -0.1 1.75784 [1, -2, -3, 0, 2, 0, 2, -2, -1, 2] thwarting -0.7 0.78102 [0, 0, -1, -1, -1, -2, 1, -1, -1, -1] thwarts -0.4 1.28062 [-2, 0, 0, -2, 0, 1, 2, 0, -1, -2] ticked -1.8 0.6 [-2, -1, -1, -2, -2, -1, -2, -2, -3, -2] timid -1.0 0.44721 [-1, -1, -1, -1, 0, -1, -2, -1, -1, -1] timider -1.0 0.44721 [-1, -2, -1, -1, -1, 0, -1, -1, -1, -1] timidest -0.9 0.7 [0, -1, 0, -1, 0, -1, -1, -2, -1, -2] timidities -0.7 0.64031 [-1, -1, -1, 0, -2, 0, -1, 0, 0, -1] timidity -1.3 0.45826 [-1, -2, -1, -1, -1, -1, -2, -2, -1, -1] timidly -0.7 0.78102 [0, -1, -1, -1, -1, 1, 0, -1, -2, -1] timidness -1.0 0.89443 [-1, -2, -1, 0, -1, -2, 1, -2, -1, -1] timorous -0.8 0.9798 [-2, -1, -1, -1, -1, -2, -1, 1, 1, -1] cansat -1.9 0.7 [-2, -1, -2, -3, -2, -3, -1, -1, -2, -2] cansada -1.9 0.7 [-2, -1, -2, -3, -2, -3, -1, -1, -2, -2] mames -0.9 0.53852 [-1, -1, -2, -1, -1, -1, 0, -1, 0, -1] tolerance 1.2 1.53623 [2, 3, 2, 2, -2, 1, 1, 3, -1, 1] tolerances 0.3 0.9 [-1, 1, 0, 0, 1, 2, 0, -1, 1, 0] tolerant 1.1 0.53852 [1, 2, 1, 1, 1, 1, 1, 1, 0, 2] tolerantly 0.4 1.2 [0, 1, 1, 1, 0, -3, 1, 1, 1, 1] toothless -1.4 1.0198 [-1, -4, -1, -2, -1, 0, -1, -2, -1, -1] top 0.8 0.87178 [1, 3, 1, 1, 1, 0, 0, 1, 0, 0] tops 2.3 1.00499 [3, 3, 3, 0, 2, 2, 3, 3, 1, 3] torn -1.0 1.0 [-1, -1, -1, 0, -1, -1, -3, -2, 1, -1] tortura -2.9 1.51327 [-4, -4, -3, -4, 1, -2, -3, -2, -4, -4] torturat -2.6 1.0198 [-4, -1, -2, -2, -4, -3, -2, -2, -4, -2] torturador -2.3 1.18743 [-4, -1, -1, -2, -4, -1, -2, -2, -4, -2] torturador -2.3 1.18743 [-4, -1, -1, -2, -4, -1, -2, -2, -4, -2] torturedors -3.5 0.67082 [-4, -4, -3, -3, -4, -4, -4, -2, -3, -4] tortures -2.5 0.92195 [-2, -3, -2, -4, -1, -3, -2, -4, -2, -2] torturant -3.0 0.89443 [-4, -4, -4, -2, -3, -2, -4, -2, -2, -3] torturous -2.7 0.78102 [-3, -3, -1, -3, -4, -2, -2, -3, -3, -3] torturously -2.2 1.6 [2, -3, -3, -2, -3, -2, -4, -3, -1, -3] totalitarian -2.1 1.3 [0, -4, -3, 0, -3, -2, -3, -1, -2, -3] totalitarianism -2.7 1.18743 [-2, -3, 0, -4, -2, -4, -4, -2, -3, -3] tough -0.5 1.43178 [0, -2, 0, 0, 1, 2, -1, -2, -3, 0] toughed 0.7 0.64031 [1, 1, 0, 1, 1, 0, 2, 1, 0, 0] toughen 0.1 1.04403 [0, 0, 1, 0, 1, 0, 2, 0, -2, -1] toughened 0.1 0.53852 [1, 0, 0, 0, 0, -1, 1, 0, 0, 0] toughening 0.9 0.83066 [0, 2, 2, 1, 1, 0, 1, 0, 0, 2] toughens -0.2 1.16619 [1, -1, 0, 1, 0, -2, -2, 1, -1, 1] tougher 0.7 1.00499 [1, 1, -1, 0, 2, 0, 2, 2, 0, 0] toughest -0.3 1.84662 [2, 1, -1, -3, 0, -2, 2, -2, 2, -2] toughie -0.7 0.64031 [-1, 1, 0, -1, -1, -1, -1, -1, -1, -1] toughies -0.6 0.66332 [-1, -1, -1, 0, 0, -1, 1, -1, -1, -1] toughing -0.5 1.20416 [-1, 0, -2, 0, 0, -2, 2, 0, -2, 0] toughish -1.0 1.0 [0, -1, 0, -2, -2, -1, 1, -2, -2, -1] toughly -1.1 0.83066 [-1, 0, 0, -1, 0, -1, -2, -2, -2, -2] toughness -0.2 1.07703 [0, 0, -1, -2, 0, 1, 1, 1, -2, 0] toughnesses 0.3 1.18743 [1, 2, -1, 0, 1, 1, -2, 1, -1, 1] toughs -0.8 1.16619 [0, 0, -1, 0, -1, -3, -2, 1, 0, -2] toughy -0.5 1.11803 [-1, -2, -1, 0, -1, -1, 1, -1, 2, -1] inoportu -0.5 0.67082 [-1, 0, -2, -1, 0, 0, -1, 0, 0, 0] touted -0.2 0.9798 [-1, 2, 0, -2, -1, 0, 0, 0, 0, 0] touting -0.7 0.64031 [0, 0, -1, -1, -1, -1, 0, -2, 0, -1] touts -0.1 0.7 [1, 1, 0, -1, 0, -1, -1, 0, 0, 0] tragedian -0.5 0.67082 [-2, 0, -1, 0, 0, -1, 0, -1, 0, 0] tragedians -1.0 1.18322 [-1, 0, -2, -1, 0, -3, 0, 0, 0, -3] tragedienne -0.4 0.4899 [0, 0, -1, -1, 0, 0, -1, -1, 0, 0] tragediennes -1.4 1.28062 [0, -3, 0, -1, -3, 0, -2, -3, 0, -2] tragedies -1.9 1.86815 [-3, -4, -2, 2, -3, -4, -2, 1, -2, -2] tragèdia -3.4 1.0198 [-4, -4, -4, -4, -2, -3, -1, -4, -4, -4] tràgic -2.0 1.94936 [-1, -3, -4, -3, -3, -4, -2, 1, 2, -3] tragical -2.4 1.11355 [-3, -3, -3, -2, -1, -3, -4, -3, 0, -2] tragicament -2.7 1.48661 [-4, -4, -4, -2, -1, -4, -1, 0, -3, -4] tragicomèdia 0.2 0.9798 [0, -2, 0, 0, 0, 2, 1, 1, 0, 0] tragicòmic -0.2 0.74833 [0, -1, 1, 0, 0, 0, -2, 0, 0, 0] tràgics -2.2 0.74833 [-3, -2, -4, -1, -2, -2, -2, -2, -2, -2] tranquil 0.2 1.77764 [2, 1, -1, 2, -3, 3, -1, 1, -1, -1] tranquiler 1.9 0.7 [2, 1, 2, 2, 3, 3, 2, 2, 1, 1] tranquilest 1.6 1.35647 [1, 2, 2, 2, 0, 2, -1, 4, 3, 1] tranquilities 1.5 1.36015 [3, 2, 4, -1, 1, 0, 2, 2, 1, 1] tranquilitat 1.8 1.16619 [3, 2, 1, 2, 3, 4, 1, 1, 1, 0] tranquilize 0.3 1.00499 [0, -2, 1, -1, 1, 1, 1, 0, 1, 1] tranquilitzat -0.2 1.32665 [-2, 0, 1, 0, 1, 2, 0, -2, -2, 0] tranquilizer -0.1 0.9434 [0, 1, -1, 0, -1, 0, -2, 1, 1, 0] tranquilizers -0.4 0.8 [0, 0, 0, -2, -1, -1, -1, 1, 0, 0] tranquilizes -0.1 0.9434 [-2, 0, 1, 0, 1, 1, 0, -1, -1, 0] tranquilizing -0.5 0.67082 [-1, 0, 0, -1, -1, -1, 1, 0, -1, -1] tranquillest 0.8 1.4 [1, 1, 2, 3, 1, 1, 0, -1, -2, 2] tranquillities 0.5 1.20416 [-2, 1, 2, 0, 2, 1, 0, -1, 1, 1] tranquillity 1.8 1.07703 [1, 2, 2, 2, 3, 3, 2, -1, 2, 2] tranquillized -0.2 1.07703 [0, 1, 0, 0, -3, 0, 1, 0, -1, 0] tranquillizer -0.1 0.7 [0, 1, 0, 0, -1, 0, 1, 0, -1, -1] tranquillizers -0.2 0.74833 [0, 0, 0, -2, 1, 0, 0, 0, -1, 0] tranquillizes 0.1 0.7 [-1, -1, 0, 0, 1, 1, 1, 0, 0, 0] tranquillizing 0.8 0.87178 [1, 2, 0, 2, 0, 0, 2, 0, 0, 1] tranquilament 1.2 0.87178 [2, 2, 1, 2, -1, 2, 1, 1, 1, 1] tranquilness 1.5 1.20416 [3, 3, 1, 2, 2, 2, 0, -1, 1, 2] trampa -1.3 0.78102 [-1, -1, -2, 0, -1, -1, -2, -1, -1, -3] atrapar -1.3 0.78102 [-1, -1, -2, 0, -1, -1, -2, -1, -1, -3] atrapat -2.4 0.91652 [-3, -2, -3, -1, -3, -1, -2, -2, -4, -3] trauma -1.8 1.249 [-2, -2, -3, -1, -2, 1, -2, -4, -1, -2] traumas -2.2 1.6 [-3, -3, -2, -4, 0, -1, -4, -3, 1, -3] traumata -1.7 1.34536 [-2, -3, -2, 0, -2, 1, -4, -2, -1, -2] traumatic -2.7 1.00499 [-2, -4, -2, -1, -4, -3, -2, -3, -4, -2] traumatically -2.8 0.6 [-4, -2, -3, -2, -2, -3, -3, -3, -3, -3] traumatise -2.8 0.6 [-4, -3, -3, -2, -2, -3, -2, -3, -3, -3] traumatised -2.4 0.91652 [-4, -4, -2, -2, -1, -2, -3, -2, -2, -2] traumatises -2.2 0.87178 [-3, -4, -2, -2, -1, -2, -3, -1, -2, -2] traumatising -1.9 1.86815 [-3, -3, -3, -1, -3, 1, -4, -2, 2, -3] traumatism -2.4 0.4899 [-3, -2, -3, -2, -2, -2, -2, -3, -3, -2] traumatization -3.0 1.0 [-4, -4, -4, -2, -2, -2, -4, -4, -2, -2] traumatizations -2.2 1.16619 [-3, -2, -4, 0, -1, -2, -4, -2, -2, -2] traumatitze -2.4 0.66332 [-3, -3, -2, -4, -2, -2, -2, -2, -2, -2] traumatitzat -1.7 1.41774 [-1, -2, -2, -2, 2, -4, -2, -2, -2, -2] traumatitzada -1.7 1.41774 [-1, -2, -2, -2, 2, -4, -2, -2, -2, -2] traumatizes -1.4 1.42829 [-2, -1, -2, -2, 2, -4, -1, -2, -1, -1] traumatizing -2.3 1.61555 [-4, -2, -2, -3, -2, -4, -4, 1, 0, -3] travesti -2.7 1.48661 [-3, -4, 0, -2, -4, -3, -4, 0, -3, -4] traició -1.9 1.75784 [-3, -3, -2, -3, -3, 1, -2, -3, -3, 2] treasonous -2.7 1.34536 [-3, -3, -3, -4, -3, -4, -2, 1, -3, -3] treasurable 2.5 0.67082 [2, 3, 3, 3, 2, 4, 2, 2, 2, 2] tresor 1.2 1.16619 [3, 1, 3, 2, 0, 2, 1, 0, 0, 0] treasured 2.6 0.66332 [3, 3, 2, 3, 3, 2, 1, 3, 3, 3] tresorer 0.5 0.67082 [1, 0, 0, 0, 1, 0, 0, 0, 1, 2] tresorera 0.5 0.67082 [1, 0, 0, 0, 1, 0, 0, 0, 1, 2] treasurers 0.4 0.66332 [0, 0, 0, 0, 1, 1, 2, 0, 0, 0] treasurership 0.4 0.66332 [0, 0, 2, 0, 1, 0, 1, 0, 0, 0] treasurerships 1.2 0.87178 [2, 0, 2, 0, 2, 1, 2, 2, 1, 0] tresors 1.8 1.32665 [3, 3, 0, 1, 1, 4, 0, 3, 2, 1] treasuries 0.9 1.04403 [0, 0, 1, 3, 2, 2, 0, 1, 0, 0] treasuring 2.1 0.7 [2, 1, 3, 1, 3, 2, 2, 2, 2, 3] tresor 0.8 1.07703 [2, 3, 0, 0, 0, 0, 0, 1, 2, 0] sorpresa 1.7 0.78102 [2, 2, 2, 0, 2, 1, 3, 2, 1, 2] convidar 1.7 0.78102 [2, 2, 2, 0, 2, 1, 3, 2, 1, 2] tremolar -1.1 1.3 [-2, 0, -1, -2, -2, -2, 2, 0, -2, -2] calfred -1.1 1.3 [-2, 0, -1, -2, -2, -2, 2, 0, -2, -2] trembled -1.1 1.22066 [-1, 1, -1, -2, -2, -1, -3, -2, 1, -1] tremolós -0.6 1.28062 [-2, -2, -1, 0, -1, 2, 1, -2, -1, 0] tremolosa -0.6 1.28062 [-2, -2, -1, 0, -1, 2, 1, -2, -1, 0] tremblers -1.0 0.63246 [-2, 0, -1, -1, 0, -2, -1, -1, -1, -1] trembles -0.1 1.51327 [-1, -2, -1, 0, -1, 2, 2, -2, 2, 0] trembling -1.5 0.92195 [-3, 0, -1, -3, -1, -1, -1, -2, -1, -2] trembly -1.2 0.87178 [-2, 0, -1, -2, -2, -1, 0, 0, -2, -2] tremulous -1.0 1.09545 [-1, -2, -1, -1, -1, -1, 2, -2, -2, -1] truc -0.2 1.32665 [-1, 1, -2, -2, -1, 2, 0, 1, 1, -1] tricked -0.6 0.91652 [-1, -1, -1, -1, 2, 0, -1, -1, -1, -1] tricker -0.9 0.83066 [-2, 0, -1, -1, 1, -2, -1, -1, -1, -1] trickeries -1.2 1.46969 [-2, -2, -1, -2, -1, 2, 1, -2, -3, -2] tramposos -1.4 0.66332 [-1, -3, -1, -2, -2, -1, -1, -1, -1, -1] trickery -1.1 1.51327 [1, -1, -1, -2, -3, -2, -3, 2, -1, -1] trickie -0.4 1.0198 [1, -1, 0, -1, -1, 1, -2, -1, 1, -1] trickier -0.7 0.78102 [-1, -1, -1, 0, 1, -1, -1, -1, 0, -2] trickiest -1.2 0.6 [-2, -2, 0, -1, -2, -1, -1, -1, -1, -1] trickily -0.8 0.74833 [0, 1, -1, -1, -1, -1, -1, -1, -2, -1] trickiness -1.2 0.9798 [-2, -1, -1, -2, -1, -2, 1, 0, -2, -2] trickinesses -0.4 1.0198 [0, 2, 0, -2, -1, -1, 0, 0, -1, -1] tricking 0.1 1.37477 [0, -2, 2, -1, 2, -2, 0, 1, 1, 0] trickish -1.0 0.44721 [-1, -2, 0, -1, -1, -1, -1, -1, -1, -1] trickishly -0.7 1.55242 [-3, -2, -1, 2, -1, 2, -2, -1, 0, -1] trickishness -0.4 1.28062 [-1, 1, -2, -1, -1, -1, 0, -2, 1, 2] trickled 0.1 0.3 [0, 0, 0, 0, 0, 0, 0, 0, 1, 0] trickledown -0.7 0.64031 [0, -1, 0, -1, -2, 0, 0, -1, -1, -1] trickles 0.2 0.4 [0, 0, 0, 1, 0, 0, 0, 0, 1, 0] trickling -0.2 0.9798 [0, 0, -1, -2, -1, 2, 0, 0, 0, 0] trickly -0.3 0.45826 [0, 0, -1, 0, 0, 0, 0, -1, 0, -1] tricks -0.5 0.67082 [0, 0, -1, -1, 1, -1, -1, 0, -1, -1] tricksier -0.5 0.67082 [-1, -1, 1, 0, -1, 0, 0, -1, -1, -1] tricksiness -1.0 0.89443 [0, 0, -1, -1, -1, 0, -1, -2, -3, -1] trickster -0.9 0.83066 [-1, -2, 0, -1, -2, -1, -1, 1, -1, -1] tricksters -1.3 0.9 [-1, -2, -1, -2, 1, -2, -2, -1, -1, -2] tricksy -0.8 0.9798 [-1, -1, -2, -1, 2, -1, -1, -1, -1, -1] tricky -0.6 0.66332 [0, 0, -1, -1, 1, -1, -1, -1, -1, -1] trillat -0.8 0.4 [-1, -1, 0, 0, -1, -1, -1, -1, -1, -1] trillada -0.8 0.4 [-1, -1, 0, 0, -1, -1, -1, -1, -1, -1] triumph 2.1 1.04403 [2, 4, 3, 3, 1, 3, 1, 2, 1, 1] triomf 2.0 0.63246 [2, 3, 3, 2, 1, 2, 1, 2, 2, 2] triumphalisms 1.9 0.9434 [2, 1, 2, 2, 2, 0, 2, 2, 4, 2] triumphalist 0.5 1.20416 [1, 1, 2, 2, -1, -2, 0, 1, 0, 1] triumphalists 0.9 1.64012 [1, -1, 0, 0, 1, 3, -2, 3, 1, 3] triumphant 2.4 0.91652 [2, 3, 3, 3, 4, 1, 2, 1, 3, 2] triumphantly 2.3 1.00499 [3, 3, 3, 3, 1, 0, 3, 2, 2, 3] triumphed 2.2 1.4 [2, 3, 3, 3, 4, 3, 1, 1, -1, 3] triumphing 2.3 0.64031 [2, 2, 3, 2, 2, 3, 2, 3, 1, 3] triumphs 2.0 1.41421 [3, 2, 3, 3, 3, 1, -1, 1, 1, 4] trivial -0.1 0.83066 [0, -1, -1, 0, 1, 0, 1, -1, 1, -1] trivialise -0.8 1.16619 [-3, -1, -2, 0, 1, -1, -1, 1, -1, -1] trivialised -0.8 1.6 [-2, 0, -2, 1, -1, 0, 1, 1, -4, -2] trivialises -1.1 0.53852 [-1, -1, -1, 0, -1, -1, -1, -2, -2, -1] trivialising -1.4 0.66332 [-2, -1, -2, -1, 0, -1, -2, -1, -2, -2] trivialities -1.0 0.63246 [-2, -2, -1, -1, -1, 0, 0, -1, -1, -1] trivialitat -0.5 1.11803 [-1, -1, -2, 0, -1, -1, 2, -1, 1, -1] trivialization -0.9 1.04403 [-1, 2, -1, -1, -2, -2, -1, -1, -1, -1] banalització -0.9 1.04403 [-1, 2, -1, -1, -2, -2, -1, -1, -1, -1] trivializations -0.7 1.18743 [-2, -1, -1, -2, 1, -1, -1, -1, 2, -1] trivialize -1.1 0.53852 [0, -2, -2, -1, -1, -1, -1, -1, -1, -1] trivialized -0.6 0.8 [-1, -1, 0, 0, -1, -1, 1, -1, 0, -2] trivializes -1.0 0.7746 [-1, -1, -1, 0, -1, 0, -1, -1, -1, -3] trivializing -0.6 1.95959 [-1, -1, -2, -1, -1, 2, -2, -4, 1, 3] trivially 0.4 1.56205 [-1, -1, -1, -1, 0, 3, 0, 2, 3, 0] trivium -0.3 0.64031 [0, 0, -2, 0, 0, 0, 0, -1, 0, 0] problema -1.7 0.64031 [-2, -2, -1, -1, -3, -2, -1, -2, -1, -2] troubled -2.0 0.44721 [-2, -2, -2, -1, -2, -3, -2, -2, -2, -2] problemàtic -2.0 0.63246 [-3, -2, -3, -2, -2, -1, -1, -2, -2, -2] troublemakers -2.2 0.74833 [-3, -3, -3, -1, -3, -1, -2, -2, -2, -2] troublemaking -1.8 0.6 [-2, -1, -1, -2, -2, -2, -3, -2, -1, -2] troubler -1.4 0.4899 [-1, -1, -2, -1, -1, -1, -2, -2, -2, -1] troublers -1.9 0.3 [-2, -2, -2, -2, -1, -2, -2, -2, -2, -2] problemes -2.0 0.44721 [-2, -2, -2, -1, -2, -3, -2, -2, -2, -2] troubleshoot 0.8 0.9798 [0, 0, 0, 2, 2, 2, 2, 0, 0, 0] troubleshooter 1.0 0.89443 [0, 0, 0, 1, 2, 2, 0, 1, 2, 2] troubleshooters 0.8 0.87178 [0, 0, 1, 2, 0, 1, 0, 2, 2, 0] troubleshooting 0.7 1.34536 [0, 2, 1, 1, -1, 2, 0, 2, -2, 2] troubleshoots 0.5 0.92195 [1, -1, 0, 0, 0, 0, 1, 0, 2, 2] troublesome -2.3 0.78102 [-3, -2, -3, -2, -3, -3, -1, -2, -1, -3] troublesomely -1.8 0.6 [-3, -1, -2, -2, -1, -2, -2, -2, -2, -1] troublesomeness -1.9 0.7 [-2, -1, -2, -3, -2, -3, -1, -2, -1, -2] troubling -2.5 0.67082 [-3, -3, -3, -3, -1, -2, -3, -2, -3, -2] troublous -2.1 0.53852 [-2, -2, -2, -2, -2, -3, -2, -3, -1, -2] troublously -2.1 1.22066 [-2, -3, -3, -3, -2, -1, 1, -2, -3, -3] trueness 2.1 0.9434 [2, 1, 1, 3, 3, 4, 2, 1, 2, 2] truer 1.5 0.67082 [1, 2, 1, 2, 1, 1, 2, 1, 3, 1] truest 1.9 0.83066 [2, 2, 2, 3, 3, 0, 2, 1, 2, 2] truly 1.9 0.9434 [4, 3, 1, 2, 2, 1, 1, 1, 2, 2] confiar 2.3 1.26886 [0, 4, 3, 3, 4, 1, 2, 2, 1, 3] confiança 2.1 0.7 [1, 3, 3, 2, 2, 2, 1, 3, 2, 2] trustable 2.3 0.45826 [2, 2, 3, 2, 2, 3, 3, 2, 2, 2] trustbuster -0.5 1.28452 [-3, -1, 0, 0, 0, 0, -2, 0, 2, -1] trusted 2.1 0.9434 [3, 2, 2, 1, 4, 1, 2, 2, 3, 1] trustee 1.0 0.89443 [2, 2, 0, 1, 1, 0, 2, 0, 2, 0] trustees 0.3 0.64031 [0, 1, 0, 0, 2, 0, 0, 0, 0, 0] trusteeship 0.5 0.67082 [0, 1, 1, 0, 0, 1, 0, 0, 2, 0] trusteeships 0.6 1.0198 [3, 0, 0, 0, 0, 0, 0, 2, 1, 0] truster 1.9 1.3 [2, 2, 1, 1, 4, 0, 3, 1, 4, 1] trustful 2.1 0.9434 [1, 2, 2, 1, 2, 2, 1, 3, 3, 4] trustfully 1.5 0.67082 [2, 1, 2, 1, 1, 3, 1, 2, 1, 1] trustfulness 2.1 0.83066 [3, 2, 3, 2, 3, 2, 2, 2, 0, 2] trustier 1.3 1.1 [1, 1, 1, 2, 0, 0, 3, 0, 3, 2] trusties 1.0 0.7746 [1, 1, 0, 2, 1, 0, 2, 0, 1, 2] trustiest 2.2 0.87178 [3, 2, 2, 3, 2, 2, 4, 1, 1, 2] trustily 1.6 0.91652 [2, 0, 3, 1, 2, 1, 1, 1, 2, 3] trustiness 1.6 0.91652 [2, 3, 0, 1, 2, 2, 2, 2, 0, 2] trusting 1.7 1.00499 [3, 0, 1, 2, 3, 0, 2, 2, 2, 2] trustingly 1.6 0.91652 [3, 1, 2, 3, 2, 2, 0, 1, 1, 1] trustingness 1.6 1.2 [1, 2, 1, 3, 2, 1, 4, 2, 0, 0] trustless -2.3 0.78102 [-2, -4, -3, -2, -2, -3, -2, -2, -1, -2] trustor 0.4 0.66332 [2, 0, 0, 1, 0, 0, 0, 1, 0, 0] trustors 1.2 0.87178 [0, 0, 2, 1, 1, 2, 2, 2, 0, 2] trusts 2.1 0.53852 [2, 2, 2, 2, 1, 2, 2, 3, 2, 3] trustworthily 2.3 0.9 [3, 1, 2, 2, 2, 1, 3, 4, 3, 2] trustworthiness 1.8 0.74833 [2, 1, 3, 1, 2, 2, 1, 2, 3, 1] trustworthy 2.6 0.91652 [3, 2, 3, 4, 2, 4, 2, 3, 1, 2] de fiar 2.2 0.74833 [3, 2, 3, 1, 2, 2, 3, 2, 1, 3] veritat 1.3 1.00499 [2, 1, 0, 1, 1, 0, 3, 3, 1, 1] truthful 2.0 0.63246 [2, 2, 1, 3, 3, 2, 1, 2, 2, 2] truthfully 1.9 1.04403 [3, 1, 3, 0, 2, 1, 3, 2, 1, 3] truthfulness 1.7 1.1 [3, 2, 2, 2, 1, -1, 3, 2, 2, 1] truths 1.8 0.87178 [0, 1, 1, 3, 2, 2, 3, 2, 2, 2] tumor -1.6 1.49666 [-3, -2, -2, -1, -2, 1, -4, 1, -2, -2] turmoil -1.5 0.92195 [-1, -1, -3, -3, -2, -2, -1, -1, 0, -1] twat -3.4 0.91652 [-3, -4, -4, -4, -3, -1, -4, -4, -3, -4] ugh -1.8 0.9798 [-1, -1, -1, -1, -1, -2, -4, -2, -3, -2] uglier -2.2 0.87178 [-2, -2, -1, -3, -4, -1, -3, -2, -2, -2] uglies -2.0 0.89443 [-2, -2, -1, -3, -4, -1, -2, -2, -1, -2] ugliest -2.8 0.74833 [-3, -3, -4, -3, -3, -3, -3, -3, -1, -2] uglification -2.2 0.87178 [-3, -1, -2, -2, -1, -2, -4, -3, -2, -2] uglified -1.5 0.67082 [-1, -1, -3, -2, -2, -1, -1, -1, -2, -1] uglifies -1.8 0.74833 [-1, -1, -3, -2, -3, -1, -2, -2, -2, -1] uglify -2.1 0.9434 [-3, -3, -1, -4, -2, -2, -1, -2, -1, -2] uglifying -2.2 0.4 [-3, -2, -2, -2, -2, -2, -2, -2, -3, -2] uglily -2.1 0.3 [-3, -2, -2, -2, -2, -2, -2, -2, -2, -2] ugliness -2.7 0.9 [-4, -2, -3, -2, -4, -2, -4, -2, -2, -2] uglinesses -2.5 1.0247 [-3, -3, -2, -1, -1, -3, -2, -2, -4, -4] lleig -2.3 0.9 [-3, -2, -1, -2, -4, -1, -3, -2, -2, -3] unacceptable -2.0 0.44721 [-2, -2, -1, -2, -2, -2, -2, -3, -2, -2] unappreciated -1.7 0.78102 [-1, -3, -2, -1, -1, -1, -2, -1, -2, -3] unapproved -1.4 0.4899 [-1, -1, -1, -2, -2, -1, -2, -2, -1, -1] unattractive -1.9 0.53852 [-1, -2, -3, -2, -1, -2, -2, -2, -2, -2] unaware -0.8 0.4 [-1, -1, -1, 0, -1, -1, 0, -1, -1, -1] increible 0.8 1.6 [0, 0, 1, -2, 1, 3, 1, 0, 4, 0] unbelieving -0.8 0.4 [0, -1, -1, -1, -1, -1, -1, 0, -1, -1] unbiased -0.1 1.22066 [-2, -1, 2, 1, 0, -1, -1, 1, 1, -1] fals -1.2 0.6 [-2, -1, -2, -1, -1, -1, 0, -1, -2, -1] falsament -1.4 0.4899 [-2, -1, -1, -1, -2, -1, -1, -2, -2, -1] mentida -1.4 0.4899 [-2, -1, -1, -1, -2, -1, -1, -2, -2, -1] uncertainness -1.3 0.45826 [-2, -2, -1, -1, -1, -1, -1, -2, -1, -1] uncertainties -1.4 0.66332 [-3, -2, -1, -1, -1, -1, -1, -2, -1, -1] uncertainty -1.4 0.4899 [-1, -1, -2, -1, -2, -1, -2, -1, -2, -1] unclear -1.0 0.44721 [-2, -1, 0, -1, -1, -1, -1, -1, -1, -1] incomode -1.6 0.4899 [-2, -1, -2, -1, -1, -2, -2, -1, -2, -2] incomodament -1.7 0.64031 [-2, -1, -3, -1, -1, -2, -2, -1, -2, -2] uncompelling -0.9 0.7 [0, -2, -1, 0, -1, -1, -1, 0, -1, -2] unconcerned -0.9 0.83066 [-2, -2, -1, 1, -1, -1, -1, 0, -1, -1] unconfirmed -0.5 0.67082 [0, -1, 0, -1, 0, -1, 0, 0, -2, 0] uncontrollability -1.7 0.45826 [-1, -1, -2, -2, -2, -2, -1, -2, -2, -2] uncontrollable -1.5 1.11803 [-2, -1, -1, -2, -1, -1, 1, -2, -3, -3] uncontrollably -1.5 0.67082 [-2, -1, 0, -2, -1, -1, -2, -2, -2, -2] uncontrolled -1.0 0.7746 [-1, 0, -1, -2, -1, 0, -1, -2, -2, 0] unconvinced -1.6 0.8 [-2, -3, -1, -2, -1, 0, -2, -2, -1, -2] uncredited -1.0 1.09545 [-1, -2, -2, 2, -1, -2, -1, -1, -1, -1] indecís -0.9 0.9434 [-1, 0, -1, 0, -1, -1, -2, 0, -3, 0] underestimate -1.2 0.4 [-1, -2, -1, -1, -1, -1, -1, -1, -2, -1] underestimated -1.1 0.53852 [-1, -1, -1, -2, 0, -1, -2, -1, -1, -1] underestimates -1.1 1.64012 [-2, -4, -1, -1, -1, -1, 3, -1, -2, -1] undermine -1.2 1.16619 [-2, -2, -1, -1, -1, -1, 2, -2, -2, -2] undermined -1.5 0.67082 [-1, -2, -1, -3, -1, -1, -1, -2, -2, -1] undermines -1.4 0.4899 [-1, -2, -1, -2, -1, -1, -1, -2, -2, -1] undermining -1.5 0.67082 [-1, -3, -1, -2, -2, -1, -1, -1, -2, -1] undeserving -1.9 0.3 [-2, -2, -1, -2, -2, -2, -2, -2, -2, -2] undesirable -1.9 0.7 [-1, -2, -3, -1, -3, -2, -1, -2, -2, -2] unease -1.7 0.64031 [-2, -2, -2, -1, -1, -2, -1, -3, -1, -2] uneasier -1.4 0.4899 [-1, -1, -1, -2, -2, -1, -2, -2, -1, -1] uneasiest -2.1 0.83066 [-1, -4, -3, -2, -2, -2, -2, -2, -1, -2] uneasily -1.4 1.0198 [-2, -2, -1, -1, -2, 1, -3, -1, -2, -1] uneasiness -1.6 0.4899 [-2, -2, -1, -2, -1, -1, -2, -2, -1, -2] uneasinesses -1.8 0.87178 [-2, -1, -4, -1, -1, -2, -2, -2, -1, -2] uneasy -1.6 0.4899 [-1, -2, -2, -1, -1, -2, -2, -1, -2, -2] unemployment -1.9 0.7 [-2, -1, -2, -3, -1, -2, -1, -2, -2, -3] desigual -1.4 0.66332 [-1, -2, -2, -2, -1, -1, -2, 0, -2, -1] unequaled 0.5 1.80278 [-2, 3, 0, 3, 3, 0, 0, 0, -2, 0] unethical -2.3 0.78102 [-3, -3, -1, -2, -2, -2, -3, -1, -3, -3] unfair -2.1 0.83066 [-1, -3, -3, -2, -3, -1, -2, -3, -1, -2] unfocused -1.7 0.64031 [-2, -1, -2, -1, -1, -2, -3, -2, -1, -2] desafortunat -2.0 0.63246 [-2, -2, -2, -3, -3, -1, -2, -1, -2, -2] desafortunadament -1.4 0.91652 [-2, -1, -2, -2, 1, -2, -1, -1, -2, -2] unfortunates -1.9 0.7 [-2, -3, -1, -1, -2, -2, -2, -1, -3, -2] unfriendly -1.5 0.5 [-1, -2, -1, -2, -1, -2, -2, -2, -1, -1] unfulfilled -1.8 0.4 [-2, -2, -2, -2, -1, -2, -2, -1, -2, -2] ungrateful -2.0 0.0 [-2, -2, -2, -2, -2, -2, -2, -2, -2, -2] ungratefully -1.8 0.6 [-2, -2, -1, -2, -2, -1, -3, -1, -2, -2] ungratefulness -1.6 0.4899 [-2, -2, -2, -2, -1, -1, -1, -2, -2, -1] unhappier -2.4 0.8 [-2, -2, -1, -4, -3, -3, -2, -2, -2, -3] unhappiest -2.5 0.80623 [-3, -4, -3, -2, -1, -3, -2, -2, -2, -3] unhappily -1.9 0.53852 [-2, -1, -2, -2, -3, -2, -1, -2, -2, -2] unhappiness -2.4 0.66332 [-3, -2, -2, -3, -2, -2, -3, -1, -3, -3] unhappinesses -2.2 0.87178 [-3, -4, -2, -2, -2, -2, -1, -2, -1, -3] infeliç -1.8 0.6 [-2, -2, -1, -3, -2, -2, -2, -1, -2, -1] unhealthy -2.4 0.66332 [-1, -2, -3, -3, -2, -3, -3, -2, -2, -3] unified 1.6 0.66332 [1, 2, 2, 1, 2, 1, 2, 1, 3, 1] unimportant -1.3 0.45826 [-1, -1, -2, -1, -1, -2, -1, -1, -2, -1] unimpressed -1.4 0.66332 [-1, -1, -1, -2, -1, -2, -1, -1, -3, -1] unimpressive -1.4 0.4899 [-1, -2, -2, -1, -1, -2, -2, -1, -1, -1] unintelligent -2.0 1.18322 [-1, -2, -3, -1, -1, -4, -1, -1, -4, -2] uninvolved -2.2 0.9798 [-2, -1, -3, -2, -1, -3, -1, -2, -4, -3] uninvolving -2.0 1.18322 [-4, -1, -3, -2, -1, -4, -1, -1, -2, -1] unit 1.8 0.6 [1, 2, 2, 2, 1, 2, 2, 1, 2, 3] injust -2.3 0.45826 [-3, -3, -2, -2, -2, -2, -3, -2, -2, -2] unkind -1.6 0.66332 [-2, -2, -1, -1, -1, -2, -3, -1, -1, -2] unlovable -2.7 0.9 [-4, -2, -1, -3, -3, -3, -4, -2, -3, -2] unloved -1.9 0.53852 [-1, -2, -2, -1, -2, -2, -3, -2, -2, -2] unlovelier -1.9 0.7 [-2, -2, -1, -3, -1, -2, -1, -3, -2, -2] unloveliest -1.9 0.83066 [-2, -4, -2, -2, -1, -1, -1, -2, -2, -2] unloveliness -2.0 0.89443 [-2, -3, -1, -1, -3, -1, -3, -2, -3, -1] unlovely -2.1 0.53852 [-2, -3, -2, -3, -1, -2, -2, -2, -2, -2] unloving -2.3 0.45826 [-2, -3, -2, -3, -2, -2, -2, -3, -2, -2] unmatched -0.3 2.0025 [0, -1, 2, 3, 0, -1, -3, 0, -4, 1] desmotivat -1.4 0.4899 [-2, -2, -1, -1, -1, -2, -2, -1, -1, -1] desagradable -2.1 0.53852 [-2, -2, -3, -3, -2, -2, -2, -2, -1, -2] unprofessional -2.3 0.78102 [-2, -1, -3, -3, -2, -1, -3, -2, -3, -3] unprotected -1.5 0.67082 [-2, -2, -1, -1, -3, -1, -1, -2, -1, -1] unresearched -1.1 0.7 [-2, -1, -1, -1, -1, -2, -2, 0, 0, -1] insatisfet -1.7 0.64031 [-2, -1, -2, -1, -1, -2, -3, -1, -2, -2] insatisfeta -1.7 0.64031 [-2, -1, -2, -1, -1, -2, -3, -1, -2, -2] unsavory -1.9 0.53852 [-2, -1, -2, -2, -2, -3, -1, -2, -2, -2] unsecured -1.6 0.4899 [-1, -2, -2, -1, -1, -2, -1, -2, -2, -2] unsettled -1.3 0.45826 [-1, -1, -1, -2, -2, -1, -2, -1, -1, -1] unsophisticated -1.2 0.87178 [-1, -1, -1, -2, -2, -2, -1, -2, 1, -1] inestable -1.5 0.5 [-2, -2, -1, -2, -1, -1, -1, -2, -2, -1] unstoppable -0.8 1.77764 [0, -4, 2, 0, 1, -2, -2, 0, -3, 0] unsuccessful -1.5 0.5 [-2, -1, -1, -2, -2, -1, -1, -1, -2, -2] unsuccessfully -1.7 0.78102 [-2, -2, -1, -1, -1, -2, -3, -3, -1, -1] insuportable -1.7 0.78102 [-2, 0, -3, -2, -2, -1, -2, -2, -1, -2] insegur -1.0 0.44721 [-1, -1, -1, -1, 0, -2, -1, -1, -1, -1] insolidaritat -1.0 0.44721 [-1, -1, -1, -1, 0, -2, -1, -1, -1, -1] unsurely -1.3 0.78102 [-1, 0, -1, -1, -1, -3, -1, -2, -2, -1] untarnished 1.6 1.35647 [3, 2, 2, 1, 1, 2, -2, 3, 2, 2] unwanted -0.9 1.3 [-1, -2, -2, -1, -2, 1, 2, -1, -2, -1] unwelcome -1.7 0.45826 [-2, -2, -2, -1, -1, -2, -2, -1, -2, -2] unworthy -2.0 0.44721 [-3, -2, -2, -2, -2, -2, -1, -2, -2, -2] molestar -1.6 0.4899 [-1, -1, -2, -2, -1, -1, -2, -2, -2, -2] molesties -1.5 0.67082 [-2, -3, -1, -1, -1, -1, -2, -2, -1, -1] upsetter -1.9 0.7 [-2, -2, -1, -1, -3, -2, -3, -1, -2, -2] upsetters -2.0 0.63246 [-3, -3, -1, -2, -2, -2, -2, -2, -1, -2] upsetting -2.1 0.53852 [-2, -3, -2, -3, -2, -1, -2, -2, -2, -2] uptight -1.6 0.4899 [-2, -1, -2, -1, -1, -2, -2, -1, -2, -2] uptightness -1.2 0.4 [-1, -2, -1, -2, -1, -1, -1, -1, -1, -1] urgent 0.8 1.16619 [3, -1, 0, 1, 1, 0, 0, 0, 2, 2] util 1.9 0.83066 [2, 1, 1, 2, 2, 4, 2, 1, 2, 2] usefully 1.8 0.6 [2, 2, 1, 3, 1, 2, 1, 2, 2, 2] usefulness 1.2 1.32665 [3, 1, 3, -1, 2, 2, 1, 1, -1, 1] useless -1.8 0.4 [-2, -1, -2, -2, -1, -2, -2, -2, -2, -2] uselessly -1.5 0.67082 [-2, -3, -1, -1, -1, -1, -2, -2, -1, -1] uselessness -1.6 0.8 [-3, -2, -2, -2, -1, -2, 0, -1, -1, -2] v.v -2.9 0.9434 [-3, -3, -4, -3, -1, -3, -4, -2, -4, -2] vague -0.4 0.8 [0, -1, -1, -1, 0, -1, 1, -1, 1, -1] vain -1.8 0.6 [-2, -1, -2, -3, -2, -1, -1, -2, -2, -2] validar 1.5 0.92195 [1, 2, 1, 1, 1, 3, 1, 3, 0, 2] validat 0.9 0.83066 [2, 1, 0, 1, 1, 0, 2, 0, 0, 2] validates 1.4 0.66332 [1, 1, 1, 2, 3, 1, 2, 1, 1, 1] validating 1.4 0.8 [2, 2, 1, 3, 0, 2, 1, 1, 1, 1] valuos 2.1 0.83066 [3, 2, 4, 2, 2, 2, 2, 1, 1, 2] valuableness 1.7 0.78102 [2, 2, 1, 3, 3, 2, 1, 1, 1, 1] valuables 2.1 0.83066 [4, 1, 2, 2, 3, 2, 1, 2, 2, 2] valuably 2.3 1.00499 [3, 4, 4, 1, 2, 2, 2, 2, 1, 2] valor 1.4 1.11355 [2, 3, 0, 1, 1, 3, 0, 2, 0, 2] valued 1.9 0.7 [3, 1, 2, 1, 2, 2, 2, 3, 2, 1] values 1.7 1.18743 [2, 2, 2, 4, 0, 1, 0, 1, 3, 2] valuing 1.4 0.91652 [1, 0, 3, 2, 2, 2, 2, 0, 1, 1] vanitat -0.9 1.7 [-2, -3, -3, 0, -2, -1, 2, 2, -1, -1] veredicte 0.6 0.91652 [0, 0, 0, 0, 0, 0, 0, 2, 2, 2] veredictes 0.3 1.1 [0, 0, 0, 0, 2, 2, 0, -2, 1, 0] vested 0.6 1.28062 [2, -2, 1, 3, 1, 0, 0, 1, 0, 0] vexacio -1.9 1.04403 [0, -2, -3, -3, -2, -2, -2, -3, 0, -2] fastidiar -2.0 0.44721 [-2, -2, -2, -1, -2, -2, -2, -3, -2, -2] vibrant 2.4 0.8 [2, 3, 1, 1, 3, 3, 3, 2, 3, 3] vicios -1.5 1.5 [1, -2, -3, -1, -1, -3, 1, -3, -1, -3] viciosa -1.5 1.5 [1, -2, -3, -1, -1, -3, 1, -3, -1, -3] viciosament -1.3 1.26886 [-2, -3, -1, -2, -2, -1, -1, 2, -1, -2] viciousness -2.4 1.35647 [-3, -1, -4, -2, -3, -3, 1, -3, -3, -3] viciousnesses -0.6 1.62481 [0, -1, -1, -3, 0, -3, 2, 1, 1, -2] victima -1.1 1.92094 [-1, -2, 2, -3, -3, -2, -3, 1, 2, -2] victimhood -2.0 0.44721 [-2, -2, -2, -2, -2, -1, -3, -2, -2, -2] victimhoods -0.9 1.37477 [-1, 0, -1, 1, -2, -1, -4, 1, -1, -1] victimise -1.1 1.92094 [-3, -3, -2, -2, -1, 2, -2, 1, -3, 2] victimised -1.5 1.56525 [-2, -2, -2, 1, -3, 2, -2, -3, -2, -2] victimises -1.2 2.31517 [-3, -3, -4, 2, -2, -2, 1, 2, 1, -4] victimising -2.5 0.67082 [-3, -1, -3, -2, -2, -3, -3, -2, -3, -3] victimització -2.3 0.78102 [-1, -3, -3, -2, -3, -1, -3, -2, -3, -2] victimizations -1.5 1.85742 [-2, -3, -3, -1, -2, 2, 2, -2, -3, -3] victimize -2.5 0.67082 [-3, -2, -4, -2, -2, -2, -2, -3, -3, -2] victimized -1.8 1.53623 [-2, -1, -3, -3, -3, 1, 1, -2, -3, -3] victimitzador -1.8 1.72047 [-3, -2, -3, -3, -2, 2, 1, -2, -3, -3] victimizers -1.6 1.68523 [-3, -2, -3, 1, -3, -1, -2, 2, -2, -3] victimizes -1.5 1.9105 [-2, -1, -4, -3, -2, 2, 2, -2, -3, -2] victimizing -2.6 0.4899 [-2, -3, -3, -3, -2, -3, -2, -3, -2, -3] victimisme -2.6 0.4899 [-2, -3, -3, -3, -2, -3, -2, -3, -2, -3] victimless 0.6 0.4899 [0, 1, 0, 1, 1, 0, 0, 1, 1, 1] victimologies -0.6 1.35647 [-2, 0, -2, -1, 0, 2, 1, 0, -2, -2] victimologist -0.5 0.67082 [0, -1, -1, 0, 0, 0, 0, -1, -2, 0] victimologists -0.4 0.91652 [0, 1, 0, -2, -2, 0, 0, 0, -1, 0] victimology 0.3 1.00499 [0, 0, 0, -1, 0, 1, 0, 0, 3, 0] victims -1.3 2.05183 [-3, -1, -3, -3, -3, 2, 1, -2, 2, -3] vigilant 0.7 0.9 [0, 2, 0, 2, 0, -1, 1, 1, 1, 1] vigor 1.1 1.37477 [0, 3, 2, 1, 2, 2, 0, 1, -2, 2] vigorish -0.4 1.2 [0, -3, -1, -1, 0, -1, 0, 0, 2, 0] vigorishes 0.4 1.56205 [0, 0, 2, 1, 2, 0, -2, -2, 0, 3] vigoros 1.5 0.67082 [2, 0, 1, 2, 2, 1, 2, 1, 2, 2] vigorously 0.5 0.92195 [0, 0, 0, 1, 2, 0, 2, -1, 1, 0] vigorousness 0.4 1.11355 [0, 3, 0, -1, -1, 0, 0, 1, 1, 1] vigors 1.0 1.0 [0, 1, 0, 1, 0, 0, 1, 3, 2, 2] vigor 0.9 0.9434 [0, 2, 2, 2, 1, 1, 0, 1, -1, 1] vigoros 0.4 1.68523 [-4, 1, 1, 1, -1, 1, 2, 2, 0, 1] vile -3.1 0.83066 [-4, -2, -4, -4, -2, -3, -3, -3, -2, -4] dolent -2.6 0.4899 [-3, -2, -2, -3, -2, -2, -3, -3, -3, -3] villainess -2.9 0.53852 [-3, -2, -3, -4, -3, -2, -3, -3, -3, -3] villainesses -2.0 1.18322 [-2, -3, -2, -2, -2, -3, 1, -3, -1, -3] villainies -2.3 1.00499 [-3, -2, -3, -3, -3, -1, -3, -2, -3, 0] villainous -2.0 0.63246 [-3, -2, -1, -2, -2, -2, -2, -1, -2, -3] villainously -2.9 0.53852 [-3, -3, -3, -3, -3, -4, -2, -3, -2, -3] villainousness -2.7 0.9 [-4, -3, -4, -3, -1, -3, -2, -2, -2, -3] villains -3.4 0.91652 [-4, -3, -4, -3, -4, -3, -4, -4, -1, -4] villainy -2.6 0.4899 [-3, -2, -3, -3, -2, -2, -2, -3, -3, -3] vindicate 0.3 1.95192 [2, -1, -2, -3, -1, 3, 0, 3, 1, 1] vindicated 1.8 1.16619 [1, 3, -1, 2, 2, 1, 3, 2, 2, 3] vindicates 1.6 0.66332 [2, 3, 2, 2, 2, 1, 1, 1, 1, 1] vindicating -1.1 1.97231 [-3, -2, 2, -3, -2, 1, 1, 1, -3, -3] violar -2.2 0.6 [-3, -3, -2, -3, -2, -2, -1, -2, -2, -2] violat -2.4 0.66332 [-3, -3, -3, -3, -2, -3, -1, -2, -2, -2] violada -2.4 0.66332 [-3, -3, -3, -3, -2, -3, -1, -2, -2, -2] violador -2.6 0.91652 [-3, -3, -4, -4, -2, -3, -2, -2, -2, -1] violadors -2.4 0.8 [-1, -3, -1, -2, -3, -3, -3, -2, -3, -3] violates -2.3 0.9 [-3, -2, -4, -3, -2, -3, -2, -2, -1, -1] violant -2.5 0.92195 [-2, -3, -3, -1, -3, -2, -4, -1, -3, -3] violació -2.2 0.9798 [-3, -1, -1, -3, -3, -2, -1, -2, -2, -4] violacions -2.4 0.66332 [-2, -2, -2, -3, -2, -4, -2, -2, -2, -3] violative -2.4 0.66332 [-2, -3, -3, -3, -1, -3, -2, -2, -2, -3] violadora -2.4 1.0198 [-1, -4, -3, -2, -3, -2, -2, -1, -4, -2] violadores -1.9 1.51327 [-2, 2, -3, -4, -1, -2, -3, -2, -2, -2] violència -3.1 0.53852 [-2, -3, -3, -3, -3, -4, -4, -3, -3, -3] violent -2.9 0.53852 [-3, -3, -3, -3, -3, -4, -3, -2, -2, -3] violently -2.8 0.74833 [-3, -3, -2, -3, -3, -3, -4, -1, -3, -3] virtue 1.8 0.74833 [1, 2, 3, 2, 2, 2, 3, 1, 1, 1] virtueless -1.4 1.0198 [-2, 0, -2, -3, -1, -3, -1, -1, -1, 0] virtues 1.5 0.80623 [2, 2, 2, 1, 0, 1, 3, 1, 2, 1] virtuosa 1.7 1.48661 [0, 4, 2, 3, 2, 3, 0, 2, -1, 2] virtuosas 1.8 0.87178 [2, 3, 1, 2, 1, 0, 3, 2, 2, 2] virtuose 1.0 1.41421 [2, 1, 0, 2, 1, -1, 1, 1, -1, 4] virtuosi 0.9 1.37477 [2, 0, 0, 2, 1, 0, 0, 1, -1, 4] virtuosic 2.2 1.07703 [2, 2, 4, 1, 0, 3, 3, 2, 2, 3] virtuosity 2.1 0.83066 [3, 3, 3, 2, 1, 3, 2, 2, 1, 1] virtuoso 2.0 1.0 [2, 2, 3, 2, 1, 0, 3, 3, 3, 1] virtuosos 1.8 1.16619 [2, 3, 1, -1, 2, 1, 3, 3, 2, 2] virtuous 2.4 1.2 [0, 3, 2, 1, 3, 4, 2, 2, 4, 3] virtuosament 1.8 1.16619 [3, 2, 3, 1, 3, 1, -1, 2, 2, 2] virtuousness 2.0 1.09545 [3, 4, 2, 2, 0, 1, 2, 3, 2, 1] virulent -2.7 0.64031 [-3, -2, -4, -2, -3, -3, -2, -3, -2, -3] vision 1.0 1.0 [0, 0, 0, 2, 1, 3, 2, 1, 1, 0] visionary 2.4 1.0198 [1, 3, 1, 2, 4, 1, 3, 3, 3, 3] visioning 1.1 0.9434 [1, 2, 0, 0, 3, 0, 1, 1, 2, 1] visions 0.9 0.9434 [2, 0, 0, 0, 0, 1, 2, 2, 0, 2] vital 1.2 1.46969 [-3, 2, 1, 1, 2, 2, 1, 2, 2, 2] vitalise 1.1 0.9434 [1, 2, 0, 2, 2, 0, 2, 0, 2, 0] vitalised 0.6 1.49666 [1, -2, 2, 0, 2, 1, -2, 2, 0, 2] vitalises 1.1 1.3 [1, 2, 2, 0, 2, 2, -2, 2, 0, 2] vitalising 2.1 0.53852 [2, 2, 3, 2, 3, 2, 2, 1, 2, 2] vitalism 0.2 0.6 [0, 0, 0, 0, 0, 0, 0, 0, 2, 0] vitalist 0.3 0.64031 [0, 0, 0, 0, 0, 0, 1, 0, 2, 0] vitalists 0.3 1.34536 [2, -3, 1, 0, 0, 0, 1, 0, 2, 0] vitalities 1.2 0.87178 [2, 1, 3, 1, 1, 0, 2, 1, 0, 1] vitalitat 1.3 0.9 [3, 2, 0, 1, 1, 1, 2, 0, 2, 1] vitalization 1.6 0.91652 [2, 3, 3, 1, 2, 1, 0, 2, 1, 1] vitalizations 0.8 0.74833 [0, 1, 1, 2, 0, 0, 0, 2, 1, 1] vitalize 1.6 0.66332 [3, 2, 2, 1, 2, 1, 1, 1, 2, 1] vitalized 1.5 0.67082 [1, 1, 2, 2, 0, 2, 1, 2, 2, 2] vitalizes 1.4 0.4899 [2, 1, 1, 2, 1, 2, 1, 2, 1, 1] vitalizing 1.3 0.9 [3, 1, 0, 0, 1, 1, 2, 2, 2, 1] vitally 1.1 0.53852 [0, 2, 1, 1, 1, 1, 2, 1, 1, 1] vitals 1.1 0.7 [1, 0, 1, 2, 2, 0, 2, 1, 1, 1] vitamin 1.2 0.87178 [3, 1, 0, 0, 1, 2, 1, 2, 1, 1] vitriolic -2.1 0.83066 [-2, -2, -2, -4, -3, -2, -1, -1, -2, -2] vivacious 1.8 0.9798 [0, 1, 3, 3, 3, 2, 2, 2, 1, 1] vociferous -0.8 0.9798 [1, -2, -1, -2, -1, -1, 1, -1, -1, -1] vulnerabilities -0.6 1.49666 [0, -3, -1, -1, -1, 2, -2, 2, -1, -1] vulnerabilitat -0.9 1.75784 [1, -1, -1, -2, 1, -3, -1, 2, -4, -1] vulnerable -0.9 1.37477 [-2, -2, 2, -1, -3, -1, 1, -1, -1, -1] vulnerableness -1.1 1.04403 [-1, -1, -2, -3, -1, 1, 0, -2, -1, -1] vulnerablement -1.2 1.46969 [-2, -2, 2, -1, -2, -3, 1, -1, -2, -2] vulture -2.0 0.89443 [-2, -3, -1, -2, -1, -1, -1, -3, -3, -3] voltors -1.3 1.55242 [-2, -3, -2, 2, -2, -2, -3, -1, -1, 1] w00t 2.2 1.32665 [3, 2, 3, 2, 0, 4, 0, 4, 2, 2] walkout -1.3 0.9 [-1, -2, -2, -1, -1, -2, -1, 1, -2, -2] walkouts -0.7 1.00499 [-2, -2, -1, 0, -1, -1, -1, 1, -1, 1] wanker -2.5 0.67082 [-2, -3, -3, -2, -3, -3, -2, -1, -3, -3] voler 0.3 1.18743 [0, -2, 0, 1, 2, -1, 2, 1, 0, 0] guerra -2.9 1.13578 [-1, -3, -4, -4, -3, -1, -2, -3, -4, -4] combat -1.2 1.16619 [-2, 0, -1, -2, 0, -3, 1, -2, -2, -1] warfares -1.8 0.87178 [-2, -1, -2, -2, -3, -1, -3, 0, -2, -2] calid 0.9 0.7 [1, 0, 0, 1, 1, 2, 1, 2, 1, 0] warmblooded 0.2 0.6 [0, 0, 2, 0, 0, 0, 0, 0, 0, 0] warmed 1.1 0.53852 [2, 0, 1, 1, 1, 2, 1, 1, 1, 1] warmer 1.2 0.9798 [2, 2, 2, 1, -1, 0, 2, 1, 1, 2] warmers 1.0 0.44721 [1, 1, 1, 2, 1, 1, 1, 0, 1, 1] warmest 1.7 1.34536 [3, 2, 1, 2, 3, 2, 2, 2, -2, 2] warmhearted 1.8 0.6 [3, 2, 2, 2, 2, 1, 2, 1, 1, 2] warmheartedness 2.7 0.64031 [2, 4, 3, 2, 3, 3, 3, 2, 2, 3] escalfador 0.6 0.8 [0, 0, 2, 2, 1, 1, 0, 0, 0, 0] warmish 1.4 0.66332 [1, 3, 2, 1, 1, 1, 1, 2, 1, 1] warmly 1.7 0.64031 [2, 1, 2, 1, 2, 1, 2, 1, 2, 3] warmness 1.5 0.92195 [3, 1, 2, 1, 0, 1, 3, 2, 1, 1] warmonger -2.9 1.13578 [-3, 0, -4, -4, -2, -3, -4, -3, -3, -3] warmongering -2.5 0.67082 [-2, -3, -3, -1, -2, -3, -3, -2, -3, -3] warmongers -2.8 0.87178 [-2, -3, -4, -4, -3, -1, -2, -3, -3, -3] warmouth 0.4 0.66332 [0, 0, 2, 0, 0, 0, 0, 1, 1, 0] warmouths -0.8 1.32665 [-1, -1, -2, -1, -2, -2, 0, 2, 1, -2] warms 1.1 0.7 [2, 2, 1, 2, 1, 0, 1, 1, 0, 1] warmth 2.0 0.44721 [2, 2, 2, 2, 1, 2, 2, 3, 2, 2] warmup 0.4 0.66332 [0, 2, 0, 1, 1, 0, 0, 0, 0, 0] warmups 0.8 0.9798 [0, 2, 0, 0, 0, 2, 2, 0, 2, 0] avis -0.4 1.35647 [0, -1, 0, -2, -1, 2, 1, -2, 1, -2] avisat -1.1 0.53852 [-1, -1, -2, 0, -1, -1, -1, -2, -1, -1] advertència -1.4 1.0198 [-2, -1, -1, -1, -2, 0, -4, -1, -1, -1] warnings -1.2 0.9798 [-2, -1, 0, -1, -2, 0, 0, -1, -3, -2] warns -0.4 1.0198 [1, -1, -1, 1, -1, -1, -2, 1, 0, -1] warred -2.4 0.8 [-2, -2, -4, -1, -3, -2, -3, -2, -3, -2] warring -1.9 1.04403 [-3, -3, 0, -1, -2, -2, -3, -1, -1, -3] guerres -2.6 0.8 [-2, -3, -1, -3, -2, -4, -3, -3, -2, -3] warsaw -0.1 0.3 [0, -1, 0, 0, 0, 0, 0, 0, 0, 0] warsaws -0.2 0.4 [0, 0, 0, -1, 0, 0, 0, 0, -1, 0] warship -0.7 0.9 [0, 0, 0, 0, 0, -2, -1, 0, -2, -2] warships -0.5 0.80623 [0, -1, 0, 0, -2, 0, 0, -2, 0, 0] warstle 0.1 0.7 [0, 0, 0, 0, 0, 0, 0, 0, 2, -1] desperdici -1.8 0.9798 [-2, -2, -1, -3, -2, -1, -1, -4, -1, -1] desperdiciat -2.2 0.6 [-2, -3, -2, -3, -1, -3, -2, -2, -2, -2] wasting -1.7 0.9 [-3, -1, -2, -2, -1, -2, -3, 0, -1, -2] wavering -0.6 1.0198 [-1, -1, 0, 0, -1, -1, -1, 2, -1, -2] feble -1.9 0.7 [-1, -3, -2, -2, -3, -2, -2, -1, -2, -1] debil -1.9 0.7 [-1, -3, -2, -2, -3, -2, -2, -1, -2, -1] weaken -1.8 0.6 [-2, -2, -2, -1, -1, -3, -2, -2, -1, -2] weakened -1.3 0.9 [-2, -1, -1, -1, -1, -2, -2, -2, 1, -2] weakener -1.6 1.11355 [-2, -1, -1, -1, -2, -2, -3, -3, 1, -2] weakeners -1.3 0.45826 [-1, -2, -1, -2, -1, -1, -2, -1, -1, -1] weakening -1.3 0.45826 [-2, -1, -1, -1, -1, -1, -1, -2, -2, -1] weakens -1.3 0.45826 [-1, -1, -1, -1, -1, -2, -1, -2, -1, -2] weaker -1.9 0.83066 [-2, -2, -2, -2, -2, -1, -4, -1, -1, -2] weakest -2.3 0.64031 [-2, -4, -2, -3, -2, -2, -2, -2, -2, -2] weakfish -0.2 1.07703 [0, -2, 0, 0, 0, 0, -2, 0, 2, 0] weakfishes -0.6 0.8 [0, -1, 0, -2, 0, 0, -1, 0, -2, 0] weakhearted -1.6 0.8 [-1, -3, -1, -1, -2, -1, -3, -2, -1, -1] weakish -1.2 0.4 [-1, -2, -1, -1, -1, -1, -2, -1, -1, -1] weaklier -1.5 0.67082 [-1, -2, -1, -3, -2, -1, -1, -2, -1, -1] weakliest -2.1 0.83066 [-2, -2, -2, -2, -3, -1, -2, -1, -4, -2] weakling -1.3 1.00499 [-1, -2, -1, -3, -2, -2, -1, -1, 1, -1] weaklings -1.4 0.66332 [-2, -1, -1, -1, -1, -2, -2, 0, -2, -2] debilment -1.8 0.87178 [-2, -2, -2, -2, -4, -1, -1, -1, -1, -2] feblesa -1.8 0.6 [-2, -2, -2, -1, -1, -2, -1, -3, -2, -2] weaknesses -1.5 0.5 [-2, -2, -1, -1, -2, -1, -1, -2, -1, -2] weakside -1.1 1.37477 [-3, -2, -3, -1, -2, -1, 1, 1, -1, 0] sa 2.2 0.4 [2, 3, 2, 2, 2, 3, 2, 2, 2, 2] salut 2.2 0.4 [2, 3, 2, 2, 2, 3, 2, 2, 2, 2] wealthier 2.2 0.6 [3, 2, 1, 3, 2, 2, 2, 3, 2, 2] wealthiest 2.2 0.9798 [2, 4, 4, 1, 2, 1, 2, 2, 2, 2] wealthily 2.0 0.89443 [2, 3, 1, 4, 2, 1, 1, 2, 2, 2] wealthiness 2.4 1.11355 [2, 4, 2, 4, 1, 2, 4, 1, 2, 2] saludable 1.5 1.0247 [1, 2, 1, 4, 1, 0, 2, 1, 2, 1] armament -1.2 0.87178 [0, -2, -2, -1, 0, -2, -1, -2, 0, -2] weaponed -1.4 0.91652 [-2, -2, -3, -1, -1, 0, 0, -2, -1, -2] weaponless 0.1 1.13578 [2, -1, 0, 0, -1, 1, -1, 0, 2, -1] weaponry -0.9 0.7 [-2, -2, 0, -1, 0, -1, -1, -1, 0, -1] armes -1.9 0.9434 [-2, -1, -2, -2, -1, -3, -3, -3, -2, 0] weary -1.1 1.13578 [-2, -1, -2, -3, 0, -1, -1, -2, 0, 1] plorar -2.7 0.9 [-2, -4, -4, -3, -3, -3, -3, -2, -1, -2] ploró -1.9 0.53852 [-2, -2, -2, -3, -1, -1, -2, -2, -2, -2] plorona -1.9 0.53852 [-2, -2, -2, -3, -1, -1, -2, -2, -2, -2] plorons -1.1 1.13578 [-2, -2, -1, -2, -1, 1, -2, 1, -1, -2] plorones -1.1 1.13578 [-2, -2, -1, -2, -1, 1, -2, 1, -1, -2] weepie -0.4 0.91652 [0, 1, -1, 0, -1, -2, 0, -1, -1, 1] weepier -1.8 0.87178 [-3, -3, -2, -1, -2, -2, -2, 0, -1, -2] weepies -1.6 0.8 [-2, -3, -2, -1, -1, -2, -2, 0, -1, -2] weepiest -2.4 0.91652 [-4, -2, -2, -2, -2, -1, -2, -2, -4, -3] ploriquejant -1.9 0.9434 [-2, -2, -1, -1, -1, -1, -4, -2, -2, -3] weepings -1.9 0.9434 [-2, -2, -3, 0, -1, -2, -2, -3, -1, -3] plorar -1.4 1.35647 [-2, -3, -1, -2, -1, -3, 1, -2, 1, -2] plorós -1.3 1.55242 [-2, -3, -1, -2, 2, -3, -1, -2, 1, -2] estrany -0.7 0.64031 [-1, 0, 0, -1, -1, -1, 0, 0, -2, -1] weirder -0.5 0.80623 [1, -1, -1, -1, -1, 1, -1, -1, 0, -1] weirdest -0.9 1.22066 [-2, 0, -2, -1, -1, -1, -3, 1, 1, -1] weirdie -1.3 0.45826 [-1, -2, -1, -2, -1, -1, -2, -1, -1, -1] weirdies -1.0 0.63246 [0, -1, -1, -1, -1, 0, -2, -2, -1, -1] weirdly -1.2 0.74833 [0, -1, -1, -2, -3, -1, -1, -1, -1, -1] weirdness -0.9 1.64012 [-3, -2, -1, -1, 2, -1, 1, -3, 1, -2] weirdnesses -0.7 1.00499 [-1, -2, 0, -1, -2, 1, -1, -1, -1, 1] weirdo -1.8 0.6 [-2, -2, -2, -2, -2, -2, -1, -1, -3, -1] weirdoes -1.3 0.64031 [-2, -1, -2, -1, -1, -2, -1, 0, -1, -2] weirdos -1.1 0.9434 [-1, -1, -1, -2, 1, -3, -1, -1, -1, -1] weirds -0.6 0.4899 [-1, -1, -1, 0, -1, 0, 0, -1, 0, -1] weirdy -0.9 0.83066 [-1, -1, 0, 0, -1, 0, -2, -2, 0, -2] benvinguda 2.0 0.63246 [1, 3, 2, 1, 2, 2, 2, 2, 3, 2] benvingut 1.4 0.4899 [1, 1, 2, 2, 1, 2, 1, 2, 1, 1] welcomely 1.9 0.53852 [2, 2, 2, 2, 1, 3, 2, 1, 2, 2] welcomeness 2.0 0.89443 [2, 3, 1, 2, 3, 0, 2, 3, 2, 2] welcomer 1.4 0.4899 [1, 1, 2, 2, 2, 2, 1, 1, 1, 1] welcomers 1.9 0.7 [2, 2, 3, 2, 2, 1, 1, 3, 1, 2] welcomes 1.7 0.78102 [1, 1, 2, 2, 3, 3, 1, 2, 1, 1] welcoming 1.9 0.7 [2, 2, 1, 1, 2, 2, 2, 3, 3, 1] be 1.1 1.04403 [0, 0, 2, 0, 2, 0, 1, 1, 3, 2] bonança 1.1 1.04403 [0, 0, 2, 0, 2, 0, 1, 1, 3, 2] welladay 0.3 1.18743 [2, -2, 0, 0, -1, 1, 0, 1, 2, 0] wellaway -0.8 1.98997 [3, -2, -3, -3, -1, -2, 1, -2, -1, 2] wellborn 1.8 0.74833 [2, 1, 2, 1, 2, 2, 1, 3, 1, 3] welldoer 2.5 0.67082 [2, 2, 2, 3, 2, 3, 4, 3, 2, 2] welldoers 1.6 0.8 [3, 1, 1, 0, 2, 1, 2, 2, 2, 2] welled 0.4 0.8 [0, 0, 2, 0, 0, 0, 0, 0, 2, 0] wellhead 0.1 0.3 [0, 0, 1, 0, 0, 0, 0, 0, 0, 0] wellheads 0.5 0.92195 [0, 2, 0, 2, -1, 0, 1, 1, 0, 0] wellhole -0.1 0.3 [0, 0, 0, -1, 0, 0, 0, 0, 0, 0] wellies 0.4 0.4899 [0, 1, 0, 0, 0, 1, 0, 0, 1, 1] welling 1.6 0.8 [2, 0, 1, 2, 2, 1, 3, 2, 2, 1] wellness 1.9 0.9434 [1, 2, 2, 1, 2, 1, 1, 3, 4, 2] wells 1.0 1.0 [2, 0, 3, 0, 1, 0, 2, 1, 1, 0] wellsite 0.5 0.67082 [0, 0, 1, 2, 0, 0, 0, 0, 1, 1] wellspring 1.5 0.92195 [3, 1, 1, 1, 0, 2, 2, 3, 1, 1] wellsprings 1.4 0.8 [1, 0, 0, 2, 2, 2, 1, 2, 2, 2] welly 0.2 0.4 [0, 0, 0, 1, 0, 1, 0, 0, 0, 0] wept -2.0 1.09545 [-3, -2, -3, -3, -1, -3, 0, -1, -1, -3] whimsical 0.3 1.61555 [2, 1, 1, 2, -1, 1, -3, -2, 1, 1] ploriquejar -1.5 1.11803 [-1, -4, -1, -1, -1, -3, 0, -2, -1, -1] whined -0.9 1.04403 [-2, -1, -2, -1, -1, -1, -2, 1, 1, -1] whiner -1.2 0.4 [-1, -2, -1, -1, -1, -2, -1, -1, -1, -1] whiners -0.6 1.95959 [-2, 0, -2, -2, 4, 1, 1, -2, -2, -2] whines -1.8 0.6 [-2, -2, -2, -1, -2, -2, -3, -1, -2, -1] whiney -1.3 0.45826 [-1, -2, -1, -1, -1, -2, -2, -1, -1, -1] whining -0.9 1.51327 [-3, 0, -1, -1, -3, -1, 1, 2, -2, -1] whitewash 0.1 0.7 [-1, 0, 1, -1, 0, 0, 0, 1, 1, 0] puta -3.3 0.64031 [-4, -4, -3, -2, -3, -4, -3, -3, -4, -3] prostituta -2.8 0.87178 [-2, -3, -4, -2, -2, -3, -4, -4, -2, -2] whoredom -2.1 2.02237 [-4, -2, -4, -3, -3, -3, -4, -1, 2, 1] whoredoms -2.4 1.11355 [-1, -3, 0, -3, -2, -3, -3, -4, -2, -3] prostibul -1.1 2.11896 [-2, -2, -2, 3, 3, -3, -3, -2, -1, -2] prostibuls -1.9 1.92094 [-4, -3, -4, -3, 0, 0, -3, 2, -1, -3] whoremaster -1.9 1.22066 [-1, -3, -3, -2, -1, -3, 0, 0, -3, -3] whoremasters -1.5 1.85742 [-3, -1, -1, -4, -2, 2, -1, 1, -2, -4] whoremonger -2.6 0.91652 [-3, -1, -3, -3, -3, -3, -3, -1, -4, -2] whoremongers -2.0 1.78885 [-4, -3, 0, -3, -3, -3, -3, 1, 1, -3] whores -3.0 1.0 [-3, -3, -4, -2, -1, -3, -4, -4, -2, -4] whoreson -2.2 1.46969 [-2, -3, -4, -4, -3, -1, -1, 1, -3, -2] whoresons -2.5 1.20416 [-3, -3, -2, -2, 0, -4, -3, -1, -3, -4] wicked -2.4 0.8 [-3, -4, -3, -3, -2, -2, -2, -1, -2, -2] wickeder -2.2 1.32665 [-2, -3, -1, -4, 1, -3, -3, -3, -2, -2] wickedest -2.9 1.04403 [-3, -1, -3, -3, -3, -3, -1, -4, -4, -4] wickedly -2.1 0.83066 [-2, -2, -1, -3, -2, -3, -1, -3, -1, -3] wickedness -2.1 0.83066 [-2, -1, -2, -2, -3, -1, -2, -4, -2, -2] wickednesses -2.2 1.16619 [-1, -2, -4, -2, -3, -1, -3, -4, -1, -1] widowed -2.1 1.22066 [0, -4, -2, -4, -3, -2, -2, -2, -1, -1] willingness 1.1 0.7 [0, 2, 1, 1, 2, 2, 1, 0, 1, 1] plor -1.4 1.28062 [-2, -3, -1, -2, -1, -2, -2, -1, 2, -2] ploró -1.0 1.18322 [-1, -2, -2, -1, -2, 0, 1, -2, 1, -2] plorona -1.0 1.18322 [-1, -2, -2, -1, -2, 0, 1, -2, 1, -2] wimpiest -0.9 1.22066 [-3, -1, -2, -1, -2, -1, 1, 1, 0, -1] wimpiness -1.2 0.9798 [1, -1, -3, -1, -2, -1, -1, -1, -2, -1] poregos -1.6 0.4899 [-2, -1, -2, -1, -2, -2, -1, -2, -2, -1] wimpishness -0.2 1.249 [-3, -1, 0, -1, -1, 1, 1, 1, 1, 0] wimple -0.2 0.74833 [0, -1, 0, 0, 0, 0, -2, 0, 0, 1] wimples -0.3 0.78102 [-2, 0, 0, 0, 0, -1, 0, -1, 1, 0] plors -1.0 1.18322 [-2, -2, -1, -1, 0, -2, -2, 1, -2, 1] fluixet -0.9 1.04403 [-2, -1, -1, -1, -1, -2, -1, 1, -2, 1] guanya 2.8 0.87178 [3, 2, 4, 3, 2, 4, 3, 1, 3, 3] winnable 1.8 0.6 [3, 2, 2, 2, 2, 1, 1, 1, 2, 2] winned 1.8 0.6 [2, 2, 2, 2, 1, 2, 1, 1, 3, 2] guanyador 2.8 0.87178 [2, 2, 2, 3, 4, 2, 3, 4, 2, 4] guanyadors 2.1 1.44568 [3, 3, 2, 3, 3, 2, 2, -2, 3, 2] guanyant 2.4 0.4899 [2, 3, 3, 2, 2, 2, 3, 3, 2, 2] winningly 2.3 1.48661 [1, 3, 4, 3, 3, 1, 2, 3, -1, 4] winnings 2.5 0.92195 [3, 4, 3, 2, 2, 3, 1, 1, 3, 3] ventejar -0.3 1.00499 [0, -1, 0, -2, 1, 1, -2, 0, 0, 0] winnower -0.1 0.3 [0, 0, 0, 0, 0, -1, 0, 0, 0, 0] winnowers -0.2 0.6 [0, 0, 0, 0, 0, 0, 0, 0, -2, 0] winnowing -0.1 0.53852 [0, 0, -1, 0, 0, 0, 0, 1, -1, 0] winnows -0.2 0.4 [0, 0, -1, -1, 0, 0, 0, 0, 0, 0] guanya 2.7 0.78102 [2, 2, 3, 3, 4, 4, 3, 2, 2, 2] saviesa 2.4 0.66332 [2, 3, 4, 2, 3, 2, 2, 2, 2, 2] savi 2.1 0.83066 [2, 3, 1, 4, 2, 2, 1, 2, 2, 2] sabudet -1.2 1.16619 [-2, -1, -2, -2, -2, -1, -2, 1, 1, -2] sabudets -0.1 0.9434 [-2, 1, 0, -1, 0, 1, 1, -1, 0, 0] resabut -1.8 0.6 [-2, -2, -1, -1, -2, -2, -3, -2, -1, -2] resabuda -1.8 0.6 [-2, -2, -1, -1, -2, -2, -3, -2, -1, -2] sabuts -1.5 1.36015 [-1, -2, 2, -2, -1, -3, -2, -3, -1, -2] ocurrència -0.1 1.22066 [-1, -1, -1, -2, 2, 1, -1, 1, 1, 0] wisecracked -0.5 0.92195 [1, 1, -1, -1, 0, -1, -2, 0, -1, -1] wisecracker -0.1 0.7 [-1, 1, -1, -1, 0, 0, 0, 0, 1, 0] wisecrackers 0.1 1.04403 [-1, 0, 1, 1, 0, 2, 1, -1, -1, -1] wisecracking -0.6 0.4899 [0, 0, -1, 0, -1, 0, -1, -1, -1, -1] wisecracks -0.3 1.55242 [1, 2, -1, 2, -3, 0, 0, -2, -1, -1] wised 1.5 0.67082 [2, 2, 2, 1, 1, 2, 0, 1, 2, 2] wiseguys 0.3 1.9 [4, -1, 1, -1, 1, 2, 2, -2, -2, -1] wiselier 0.9 1.3 [1, 2, 2, -2, 0, 1, 3, 1, 0, 1] wiseliest 1.6 1.49666 [1, 4, 2, 2, 1, 2, 2, 3, -2, 1] wisely 1.8 0.6 [1, 2, 3, 2, 1, 2, 2, 1, 2, 2] wiseness 1.9 0.7 [2, 3, 2, 2, 3, 1, 1, 1, 2, 2] wisenheimer -1.0 1.18322 [-1, 1, -1, -1, -1, 0, -1, -3, 0, -3] wisenheimers -1.4 0.91652 [-3, -3, -2, -1, -1, -1, 0, -1, -1, -1] wisents 0.4 0.91652 [0, 0, 0, 0, 1, 0, 0, 0, 3, 0] sabut 1.2 0.87178 [1, 3, 0, 1, 1, 2, 0, 2, 1, 1] sabuda 1.2 0.87178 [1, 3, 0, 1, 1, 2, 0, 2, 1, 1] savis 1.3 1.48661 [3, 3, 2, -2, 2, 0, 0, 2, 2, 1] wisest 2.1 1.51327 [1, 3, 3, 3, 3, 2, 2, 3, -2, 3] savies 1.3 0.9 [2, 2, 0, 0, 2, 0, 1, 2, 2, 2] desig 1.7 1.1 [2, 1, 1, 0, 2, 1, 3, 2, 4, 1] desitjos 0.6 0.8 [0, 0, 1, 0, 1, 0, 2, 0, 2, 0] desitjant 0.9 0.7 [2, 1, 1, 0, 0, 0, 1, 1, 2, 1] bruixa -1.5 0.80623 [-1, -2, -2, -1, -3, 0, -2, -2, -1, -1] empat 0.1 1.57797 [1, -1, 0, -2, -2, 2, -1, 1, 0, 3] afliccio -1.8 0.6 [-3, -2, -2, -2, -1, -1, -2, -1, -2, -2] woebegone -2.6 0.66332 [-3, -2, -3, -2, -2, -4, -3, -2, -2, -3] woebegoneness -1.1 1.37477 [-3, 0, -1, 1, -1, -4, 0, -1, -1, -1] woeful -1.9 0.83066 [-1, -2, -2, -1, -3, -3, -1, -2, -1, -3] woefully -1.7 1.48661 [-1, -3, -2, 1, -3, -3, -2, -2, 1, -3] woefulness -2.1 0.7 [-3, -2, -2, -1, -2, -3, -3, -1, -2, -2] afliccions -1.9 0.83066 [-2, -2, -2, -1, -2, -3, -3, 0, -2, -2] woesome -1.2 1.6 [-2, -3, -2, -1, 0, 3, -2, -2, -1, -2] guanyà 2.7 0.9 [3, 4, 2, 2, 2, 4, 4, 2, 2, 2] meravellós 2.7 0.78102 [2, 3, 3, 2, 4, 2, 2, 3, 4, 2] meravellosa 2.7 0.78102 [2, 3, 3, 2, 4, 2, 2, 3, 4, 2] meravellosament 2.9 0.83066 [1, 3, 3, 4, 3, 2, 3, 3, 4, 3] wonderfulness 2.9 0.53852 [3, 2, 3, 3, 3, 3, 3, 2, 4, 3] atraure 2.1 1.37477 [4, 2, 1, 3, 2, 2, -1, 2, 2, 4] enamorar 2.1 1.37477 [4, 2, 1, 3, 2, 2, -1, 2, 2, 4] brutal 2.3 1.1 [3, 3, 1, 4, 4, 2, 1, 1, 2, 2] woot 1.8 1.07703 [2, 0, 2, 2, 2, 2, 0, 4, 2, 2] gastat -1.2 0.4 [-1, -1, -1, -1, -1, -1, -2, -1, -2, -1] desgastat -1.2 0.4 [-1, -1, -1, -1, -1, -1, -2, -1, -2, -1] preocupat -1.2 0.74833 [-1, -1, -1, -1, -1, -2, -3, 0, -1, -1] preocupada -1.2 0.74833 [-1, -1, -1, -1, -1, -2, -3, 0, -1, -1] preocupadament -2.0 0.44721 [-2, -2, -3, -2, -2, -2, -2, -1, -2, -2] aprensiu -1.8 0.6 [-2, -2, -1, -2, -1, -3, -2, -2, -1, -2] worriers -1.7 0.45826 [-2, -1, -2, -2, -2, -2, -1, -2, -1, -2] preocupar -1.8 0.6 [-2, -2, -1, -2, -1, -2, -2, -3, -1, -2] preocupacio -1.5 0.67082 [-1, -2, -1, -1, -1, -2, -1, -3, -1, -2] worriments -1.9 0.7 [-2, -1, -2, -3, -1, -2, -3, -1, -2, -2] worrisome -1.7 0.64031 [-1, -1, -1, -2, -1, -2, -3, -2, -2, -2] worrisomely -2.0 0.63246 [-1, -2, -1, -2, -2, -3, -2, -2, -3, -2] worrisomeness -1.9 0.53852 [-2, -2, -3, -1, -2, -2, -2, -1, -2, -2] worrit -2.1 0.53852 [-2, -2, -1, -2, -2, -3, -3, -2, -2, -2] worrits -1.2 0.9798 [-1, -2, -2, -1, 0, 0, -1, -3, 0, -2] preocupació -1.9 0.7 [-2, -3, -1, -3, -1, -2, -1, -2, -2, -2] aprensiu -1.4 0.66332 [-2, -1, -2, -2, -1, 0, -1, -1, -2, -2] angunies -1.4 0.66332 [-2, -1, -2, -2, -1, 0, -1, -1, -2, -2] worrywart -1.8 0.9798 [-2, -2, -2, -1, -1, -1, -1, -3, -1, -4] worrywarts -1.5 0.5 [-2, -1, -2, -2, -2, -1, -1, -1, -2, -1] pitjor -2.1 0.83066 [-2, -2, -1, -3, -4, -2, -1, -2, -2, -2] empitjorar -2.3 0.78102 [-4, -3, -1, -2, -2, -2, -2, -3, -2, -2] empitjorat -1.9 1.22066 [-2, -2, -2, -1, -2, -2, -4, 1, -3, -2] empijorant -2.0 0.44721 [-2, -3, -2, -2, -2, -2, -1, -2, -2, -2] puritans -2.1 0.53852 [-2, -2, -2, -2, -1, -2, -2, -3, -3, -2] purità -2.0 0.89443 [-2, -2, -4, -1, -2, -2, -2, -3, -1, -1] adorar 1.2 1.07703 [1, 0, 0, 1, 3, 0, 2, 3, 1, 1] adorat 2.4 1.0198 [1, 2, 4, 3, 4, 1, 2, 3, 2, 2] devot 1.0 1.0 [0, 0, 2, 3, 0, 2, 1, 1, 1, 0] devots 0.9 0.83066 [0, 0, 0, 2, 1, 1, 1, 2, 2, 0] respectuos 0.7 1.00499 [1, -1, 3, 1, 1, 1, 0, 0, 0, 1] worshipfully 1.1 1.3 [0, 0, 0, 1, 3, 0, 3, 3, 1, 0] worshipfulness 1.6 0.8 [3, 1, 2, 2, 1, 1, 3, 1, 1, 1] venerador 1.0 1.18322 [0, 3, 0, 3, 0, 1, 1, 2, 0, 0] adorador 1.0 1.18322 [0, 3, 0, 3, 0, 1, 1, 2, 0, 0] worshipless -0.6 1.0198 [0, -1, -3, -1, -1, -1, 0, 0, 0, 1] adorat 2.7 0.78102 [3, 2, 3, 3, 1, 4, 2, 3, 3, 3] adorada 2.7 0.78102 [3, 2, 3, 3, 1, 4, 2, 3, 3, 3] devot 0.6 0.66332 [1, 1, 0, 0, 1, 0, 0, 2, 1, 0] devota 0.6 0.66332 [1, 1, 0, 0, 1, 0, 0, 2, 1, 0] devots 0.8 0.87178 [0, 1, 0, 0, 3, 1, 1, 1, 0, 1] devotes 0.8 0.87178 [0, 1, 0, 0, 3, 1, 1, 1, 0, 1] adorador 1.6 1.28062 [1, 3, 3, 3, 0, 3, 1, 0, 2, 0] adoradora 1.6 1.28062 [1, 3, 3, 3, 0, 3, 1, 0, 2, 0] adoradors 1.6 1.28062 [1, 3, 3, 3, 0, 3, 1, 0, 2, 0] adorar 1.4 1.11355 [2, 0, 1, 3, 2, 1, 0, 3, 2, 0] pitjor -3.1 1.04403 [-4, -4, -3, -1, -3, -4, -2, -2, -4, -4] valor 0.9 0.9434 [0, 0, 1, 1, 2, 1, 1, 3, 0, 0] inutil -1.9 1.13578 [-3, -1, -3, -4, -1, -3, -1, -1, -1, -1] mereixedor 1.4 0.4899 [1, 1, 1, 2, 1, 1, 2, 1, 2, 2] digne 1.9 0.53852 [2, 2, 2, 1, 1, 2, 2, 2, 3, 2] ei 2.8 0.9798 [2, 3, 2, 4, 4, 3, 3, 2, 1, 4] encantat 2.6 0.8 [3, 3, 4, 3, 2, 1, 3, 3, 2, 2] encantada 2.6 0.8 [3, 3, 4, 3, 2, 1, 3, 3, 2, 2] uala 2.5 0.67082 [2, 2, 3, 3, 2, 3, 4, 2, 2, 2] ala 2.5 0.67082 [2, 2, 3, 3, 2, 3, 4, 2, 2, 2] caram 2.0 1.61245 [2, 3, 3, 3, 2, 1, -2, 1, 4, 3] exclamador -1.1 2.02237 [-3, 3, 0, 2, -2, -1, -3, -2, -2, -3] purita 1.0 2.14476 [0, -2, 4, 2, 3, 0, 1, 2, -3, 3] puritans 1.0 2.14476 [0, -2, 4, 2, 3, 0, 1, 2, -3, 3] puritanes 1.0 2.14476 [0, -2, 4, 2, 3, 0, 1, 2, -3, 3] colèric -2.7 0.64031 [-3, -2, -2, -3, -3, -2, -4, -2, -3, -3] enuix -2.7 0.64031 [-3, -2, -2, -3, -3, -2, -4, -2, -3, -3] naufragi -1.9 0.7 [-1, -2, -3, -3, -2, -2, -2, -1, -1, -2] errat -2.1 1.04403 [-2, -2, -2, -2, -4, -4, -1, -1, -1, -2] error -2.1 1.04403 [-2, -2, -2, -2, -4, -4, -1, -1, -1, -2] errada -2.1 1.04403 [-2, -2, -2, -2, -4, -4, -1, -1, -1, -2] errat -1.9 0.53852 [-2, -2, -2, -2, -2, -1, -3, -2, -2, -1] errada -1.9 0.53852 [-2, -2, -2, -2, -2, -1, -3, -2, -2, -1] x-d 2.6 0.91652 [2, 3, 3, 4, 1, 2, 3, 4, 2, 2] x-p 1.7 0.45826 [2, 2, 1, 2, 2, 1, 1, 2, 2, 2] xd 2.8 0.87178 [3, 3, 4, 2, 3, 3, 1, 2, 4, 3] 😆 2.8 0.87178 [3, 3, 4, 2, 3, 3, 1, 2, 4, 3] xp 1.6 0.4899 [2, 2, 2, 1, 1, 1, 2, 2, 1, 2] yay 2.4 1.0198 [1, 3, 3, 2, 2, 1, 4, 4, 2, 2] sí 1.2 0.6 [1, 1, 1, 2, 1, 1, 0, 2, 1, 2] ansios 0.5 1.0247 [0, 1, 0, 1, 0, 3, 0, 1, -1, 0] siii 1.7 1.00499 [1, 3, 1, 2, 1, 1, 4, 2, 1, 1] si 1.2 0.4 [1, 1, 1, 1, 1, 1, 2, 2, 1, 1] sí 1.7 0.78102 [1, 2, 2, 1, 1, 1, 3, 3, 1, 2] jovenil 1.3 0.45826 [1, 2, 1, 2, 1, 1, 1, 1, 2, 1] fastigós -1.8 0.6 [-2, -1, -1, -2, -2, -1, -2, -2, -3, -2] xuclat 2.4 1.0198 [1, 2, 4, 3, 2, 2, 3, 1, 4, 2] fanatic -1.9 1.04403 [-2, -3, -1, -2, -1, -3, -4, -1, -1, -1] fanatics -0.8 1.83303 [-1, -2, -1, -2, -2, 1, -2, 4, -1, -2] gelos 0.5 1.43178 [2, -1, 2, 1, 0, 0, 3, 0, -2, 0] {: 1.8 0.9798 [1, 3, 2, 2, 1, 1, 4, 2, 1, 1] |-0 -1.2 0.74833 [0, -2, -1, -1, -1, -1, -1, -1, -1, -3] |-: -0.8 0.74833 [-1, -2, 0, -1, 0, -2, -1, -1, 0, 0] |-:> -1.6 0.4899 [-1, -2, -2, -2, -2, -1, -1, -2, -2, -1] |-o -1.2 0.9798 [-1, 0, -1, -1, -1, -1, -1, -4, -1, -1] |: -0.5 1.68819 [2, -3, -1, 0, -1, -1, -1, -2, -1, 3] |;-) 2.2 1.32665 [4, 1, 1, 1, 3, 2, 4, 1, 4, 1] |= -0.4 1.56205 [2, -2, -1, 0, -1, -1, -1, -2, -1, 3] |^: -1.1 0.7 [-2, 0, -1, -1, 0, -1, -1, -2, -2, -1] |o: -0.9 0.53852 [-1, 0, -1, -2, -1, 0, -1, -1, -1, -1] ||-: -2.3 0.45826 [-2, -2, -2, -3, -3, -3, -2, -2, -2, -2] }: -2.1 0.83066 [-1, -1, -3, -2, -3, -2, -2, -1, -3, -3] }:( -2.0 0.63246 [-3, -1, -2, -1, -3, -2, -2, -2, -2, -2] }:) 0.4 1.42829 [1, 1, -2, 1, 2, -2, 1, -1, 2, 1] }:-( -2.1 0.7 [-2, -1, -2, -2, -2, -4, -2, -2, -2, -2] }:-) 0.3 1.61555 [1, 1, -2, 1, -1, -3, 2, 2, 1, 1]