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$: -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]
(': 2.3 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]
(-% -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]
(-: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]
(: 2.2 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]
(:O 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]
)': -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]
);< -2.6 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]
/-: -1.3 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]
:-Þ 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]
: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]
:Þ 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]
</3 -3.0 1.0 [-3, -3, -4, -3, -4, -1, -2, -2, -4, -4]
<3 1.9 1.13578 [3, 2, 1, 3, 1, 4, 2, 0, 1, 2]
<: 2.1 1.13578 [3, 2, 4, 1, 1, 1, 1, 2, 4, 2]
<:-| -1.4 0.66332 [-1, -1, -1, -2, -2, -1, -3, -1, -1, -1]
=) 2.2 1.16619 [4, 2, 3, 3, 2, 1, 1, 4, 1, 1]
=-3 2.0 0.63246 [2, 2, 2, 3, 1, 3, 1, 2, 2, 2]
=-d 2.4 0.91652 [2, 2, 1, 3, 2, 4, 2, 4, 2, 2]
=-D 2.4 0.91652 [2, 2, 1, 3, 2, 4, 2, 4, 2, 2]
=/ -1.4 0.91652 [-1, -1, -1, -1, -1, -2, -1, -1, -4, -1]
=3 2.1 0.7 [3, 1, 2, 1, 2, 3, 2, 2, 3, 2]
=d 2.3 0.45826 [3, 2, 2, 2, 2, 3, 2, 2, 2, 3]
=D 2.3 0.45826 [3, 2, 2, 2, 2, 3, 2, 2, 2, 3]
=l -1.2 0.6 [-2, -1, -1, 0, -2, -1, -2, -1, -1, -1]
=\ -1.2 0.6 [-2, -1, -1, 0, -2, -1, -2, -1, -1, -1]
=] 1.6 0.8 [2, 1, 3, 1, 1, 1, 2, 3, 1, 1]
=p 1.3 0.9 [2, 1, 2, 1, 2, -1, 1, 2, 2, 1]
=| -0.8 0.87178 [-2, -1, -2, 1, 0, -1, 0, -1, -1, -1]
>-: -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]
hand 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]
thks 1.4 0.4899 [1, 2, 1, 2, 1, 2, 1, 1, 2, 1]
thx 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]
true 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]
txs 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]
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]
abandon -1.9 0.53852 [-1, -2, -2, -2, -2, -3, -2, -2, -1, -2]
abandoned -2.0 1.09545 [-1, -1, -3, -2, -1, -4, -1, -3, -3, -1]
abandoner -1.9 0.83066 [-1, -1, -3, -2, -1, -3, -1, -2, -3, -2]
abandoners -1.9 0.83066 [-2, -3, -2, -3, -2, -1, -2, -2, 0, -2]
abandoning -1.6 0.8 [-3, -2, -3, -2, -1, -1, -1, -1, -1, -1]
abandonment -2.4 1.0198 [-4, -2, -1, -4, -2, -1, -2, -3, -3, -2]
abandonments -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]
abducted -2.3 1.18743 [-3, -1, 0, -3, -1, -3, -4, -2, -3, -3]
abduction -2.8 0.87178 [-4, -3, -3, -4, -1, -3, -2, -2, -3, -3]
abductions -2.0 1.41421 [-3, -4, -1, -3, -1, -3, 1, -2, -1, -3]
abhor -2.0 1.09545 [-3, -3, -1, -1, -2, -1, -3, -3, 0, -3]
abhorred -2.4 1.49666 [-4, -4, 0, -3, -2, -1, -4, -3, -3, 0]
abhorrent -3.1 1.3 [-4, -4, -4, -2, 0, -4, -2, -3, -4, -4]
abhors -2.9 1.51327 [0, -4, -3, -3, -4, -4, 0, -4, -3, -4]
abilities 1.0 0.63246 [1, 2, 0, 1, 0, 1, 1, 1, 1, 2]
ability 1.3 0.64031 [1, 1, 1, 0, 1, 2, 2, 2, 2, 1]
aboard 0.1 0.3 [0, 0, 0, 0, 1, 0, 0, 0, 0, 0]
absentee -1.1 0.53852 [-1, -1, 0, -2, -1, -1, -2, -1, -1, -1]
absentees -0.8 0.6 [-1, 0, 0, -1, -1, 0, -2, -1, -1, -1]
absolve 1.2 1.46969 [2, -3, 2, 2, 1, 1, 2, 1, 2, 2]
absolved 1.5 0.92195 [3, 1, 2, 1, 0, 2, 3, 1, 1, 1]
absolves 1.3 1.00499 [3, 1, 1, 0, 0, 2, 3, 1, 1, 1]
absolving 1.6 0.8 [3, 1, 2, 1, 1, 2, 3, 1, 1, 1]
abuse -3.2 0.6 [-4, -2, -3, -4, -3, -4, -3, -3, -3, -3]
abused -2.3 0.64031 [-2, -2, -3, -2, -2, -4, -2, -2, -2, -2]
abuser -2.6 0.4899 [-3, -2, -3, -3, -2, -3, -2, -2, -3, -3]
abusers -2.6 1.0198 [-2, -3, -3, -3, -3, -2, -3, -4, -3, 0]
abuses -2.6 0.66332 [-3, -2, -3, -3, -3, -3, -1, -2, -3, -3]
abusing -2.0 1.41421 [-1, -2, -2, -4, -4, -2, -3, -1, 1, -2]
abusive -3.2 0.74833 [-4, -3, -3, -4, -4, -3, -4, -2, -3, -2]
abusively -2.8 0.6 [-3, -4, -3, -2, -3, -2, -2, -3, -3, -3]
abusiveness -2.5 0.92195 [-2, -4, -2, -3, -2, -3, -4, -2, -1, -2]
abusivenesses -3.0 0.63246 [-3, -3, -4, -3, -4, -2, -2, -3, -3, -3]
accept 1.6 0.91652 [2, 1, 2, 1, 1, 2, 4, 1, 1, 1]
acceptabilities 1.6 0.66332 [0, 2, 2, 2, 1, 2, 2, 2, 1, 2]
acceptability 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]
acceptableness 1.3 0.9 [1, 0, 2, 1, 2, 1, 1, 0, 2, 3]
acceptably 1.5 0.67082 [3, 2, 1, 1, 1, 2, 1, 1, 2, 1]
acceptance 2.0 0.63246 [3, 1, 3, 2, 1, 2, 2, 2, 2, 2]
acceptances 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]
acceptation 1.3 0.78102 [0, 1, 2, 1, 1, 1, 1, 3, 2, 1]
acceptations 0.9 0.83066 [1, 2, 0, 2, 0, 1, 0, 2, 1, 0]
accepted 1.1 0.3 [1, 1, 1, 1, 1, 2, 1, 1, 1, 1]
accepting 1.6 0.66332 [2, 2, 2, 1, 1, 2, 1, 3, 1, 1]
accepts 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]
accidentally -1.4 0.91652 [-2, 0, -2, 0, -3, -1, -1, -1, -2, -2]
accidents -1.3 0.78102 [-1, -1, -1, -1, -2, 0, -3, -1, -2, -1]
accomplish 1.8 0.6 [1, 2, 3, 2, 2, 2, 1, 1, 2, 2]
accomplished 1.9 0.53852 [2, 2, 2, 1, 2, 2, 3, 1, 2, 2]
accomplishes 1.7 0.9 [2, 2, 1, 0, 2, 3, 3, 1, 1, 2]
accusation -1.0 1.09545 [-1, -1, -2, -2, -2, -1, -1, -1, 2, -1]
accusations -1.3 1.26886 [-2, -2, -1, -3, -2, -1, -1, 2, -2, -1]
accuse -0.8 1.53623 [-3, -1, -1, -2, 1, -2, 1, -2, 2, -1]
accused -1.2 1.46969 [-2, -1, -2, 2, -2, -3, -2, -2, -1, 1]
accuses -1.4 1.0198 [-2, -1, -2, 1, -2, -3, -1, -2, -1, -1]
accusing -0.7 1.34536 [-2, -1, -1, 1, -3, -1, -1, 2, -1, 0]
ache -1.6 1.2 [-1, -2, -2, -2, -1, -4, -1, 1, -2, -2]
ached -1.6 0.8 [-2, -2, -1, -2, -1, -2, -3, 0, -1, -2]
aches -1.0 0.7746 [-1, -2, -1, -1, -1, 1, -2, -1, -1, -1]
achievable 1.3 0.45826 [2, 1, 1, 1, 1, 1, 1, 2, 2, 1]
aching -2.2 0.74833 [-2, -3, -2, -1, -3, -3, -2, -3, -1, -2]
acquit 0.8 1.72047 [-3, 3, -1, 3, 2, 1, 1, 1, 0, 1]
acquits 0.1 1.37477 [1, -3, -1, 0, 2, 0, -1, 1, 1, 1]
acquitted 1.0 0.89443 [2, 2, 1, 1, 2, 0, 1, 1, -1, 1]
acquitting 1.3 0.78102 [3, 2, 0, 1, 1, 1, 2, 1, 1, 1]
acrimonious -1.7 1.73494 [-1, -3, -2, -3, 3, -3, -1, -2, -2, -3]
active 1.7 1.26886 [1, 2, 1, 1, 1, 4, 2, 4, 0, 1]
actively 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]
adequate 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]
admirably 2.5 0.67082 [2, 3, 3, 3, 4, 2, 2, 2, 2, 2]
admiral 1.3 1.18743 [0, 0, 1, 3, 3, 2, 2, 0, 2, 0]
admirals 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]
admiration 2.5 0.80623 [3, 1, 1, 3, 3, 2, 3, 3, 3, 3]
admirations 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]
admired 2.3 0.78102 [4, 2, 2, 2, 2, 2, 3, 3, 1, 2]
admirer 1.8 0.74833 [2, 1, 1, 2, 3, 2, 3, 1, 1, 2]
admirers 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]
admiring 1.6 0.8 [1, 2, 1, 1, 3, 3, 2, 1, 1, 1]
admiringly 2.3 0.64031 [1, 3, 3, 2, 2, 2, 2, 3, 3, 2]
admit 0.8 1.07703 [0, 0, 0, 0, 0, 1, 3, 2, 2, 0]
admits 1.2 0.87178 [1, 2, 2, 2, 0, 0, 1, 2, 0, 2]
admitted 0.4 0.66332 [0, 1, 0, 1, 0, 0, 2, 0, 0, 0]
admonished -1.9 0.9434 [-2, -2, -2, -1, -2, -3, -1, -1, -1, -4]
adopt 0.7 0.64031 [0, 0, 1, 1, 1, 0, 1, 0, 1, 2]
adopts 0.7 0.64031 [0, 0, 1, 2, 1, 0, 1, 1, 0, 1]
adorability 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]
adorableness 2.5 0.67082 [2, 3, 3, 2, 3, 2, 1, 3, 3, 3]
adorably 2.1 0.7 [3, 1, 2, 3, 2, 2, 1, 3, 2, 2]
adoration 2.9 0.7 [3, 3, 3, 2, 3, 3, 4, 2, 4, 2]
adorations 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]
adored 1.8 0.87178 [2, 3, 3, 2, 2, 1, 1, 0, 2, 2]
adorer 1.7 1.1 [2, 4, 3, 1, 2, 1, 1, 0, 2, 1]
adorers 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]
adoring 2.6 0.66332 [2, 3, 3, 3, 1, 3, 3, 2, 3, 3]
adoringly 2.4 0.8 [2, 3, 2, 3, 3, 3, 3, 1, 1, 3]
adorn 0.9 0.53852 [1, 1, 1, 0, 2, 1, 1, 0, 1, 1]
adorned 0.8 1.249 [1, 1, 0, 2, -1, 3, -1, 2, 1, 0]
adorner 1.3 0.78102 [1, 1, 1, 2, 1, 3, 1, 2, 1, 0]
adorners 0.9 0.9434 [2, 2, 0, 1, -1, 2, 1, 1, 0, 1]
adorning 1.0 0.7746 [0, 0, 1, 1, 1, 2, 2, 1, 0, 2]
adornment 1.3 0.78102 [1, 3, 1, 0, 2, 2, 1, 1, 1, 1]
adornments 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]
advanced 1.0 0.63246 [1, 0, 1, 1, 1, 0, 1, 2, 1, 2]
advantage 1.0 0.63246 [1, 2, 1, 1, 2, 0, 1, 0, 1, 1]
advantaged 1.4 0.91652 [1, 0, 3, 0, 1, 1, 2, 2, 2, 2]
advantageous 1.5 0.67082 [2, 0, 2, 2, 2, 1, 1, 1, 2, 2]
advantageously 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]
advantages 1.5 0.80623 [1, 0, 3, 1, 1, 1, 2, 2, 2, 2]
advantaging 1.6 0.66332 [3, 1, 1, 2, 1, 1, 2, 2, 2, 1]
adventure 1.3 0.45826 [1, 2, 1, 1, 2, 1, 1, 1, 1, 2]
adventured 1.3 0.45826 [1, 2, 1, 2, 1, 2, 1, 1, 1, 1]
adventurer 1.2 0.6 [1, 2, 0, 2, 1, 2, 1, 1, 1, 1]
adventurers 0.9 0.9434 [0, 1, 0, 1, 0, 1, 0, 1, 3, 2]
adventures 1.4 1.2 [2, 2, 1, 2, -2, 2, 2, 1, 2, 2]
adventuresome 1.7 1.1 [0, 3, 0, 1, 2, 2, 3, 1, 2, 3]
adventuresomeness 1.3 1.00499 [1, 0, 0, 2, 3, 2, 2, 0, 1, 2]
adventuress 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]
adventurous 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]
adversarial -1.5 0.92195 [-2, 0, -1, -3, -2, -2, 0, -1, -2, -2]
adversaries -1.0 0.63246 [-1, -1, -1, -1, 0, -2, -2, -1, -1, 0]
adversary -0.8 1.72047 [-3, -1, -2, -2, -2, 2, 1, -1, 2, -2]
adversative -1.2 0.74833 [-1, -1, -2, -1, -1, -1, -3, -1, 0, -1]
adversatively -0.1 1.37477 [0, -2, -1, 0, -1, -1, 1, 1, 3, -1]
adversatives -1.0 0.7746 [-1, -1, -2, -1, -2, 1, -1, -1, -1, -1]
adverse -1.5 0.80623 [-2, -2, -2, -1, -1, 0, -1, -3, -1, -2]
adversely -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]
adversity -1.8 0.6 [-3, -2, -1, -2, -2, -2, -1, -1, -2, -2]
affected -0.6 1.35647 [-1, -2, 0, -2, 0, 0, 2, -2, 1, -2]
affection 2.4 0.8 [3, 2, 2, 3, 4, 1, 3, 2, 2, 2]
affectional 1.9 1.04403 [3, 3, 2, 0, 2, 2, 2, 3, 2, 0]
affectionally 1.5 0.92195 [1, 1, 3, 1, 1, 0, 2, 2, 3, 1]
affectionate 1.9 1.13578 [1, 0, 3, 1, 3, 2, 2, 1, 2, 4]
affectionately 2.2 0.87178 [4, 1, 1, 2, 2, 2, 3, 3, 2, 2]
affectioned 1.8 0.4 [2, 2, 1, 2, 2, 1, 2, 2, 2, 2]
affectionless -2.0 0.44721 [-2, -1, -2, -2, -2, -2, -2, -2, -2, -3]
affections 1.5 1.11803 [-1, 3, 2, 2, 1, 1, 2, 1, 3, 1]
afflicted -1.5 1.0247 [-1, -2, -3, -2, 1, -1, -1, -2, -2, -2]
affronted 0.2 2.03961 [1, -2, 2, -2, -2, 4, 0, 2, 1, -2]
aggravate -2.5 0.80623 [-3, -3, -2, -3, -2, -4, -3, -2, -2, -1]
aggravated -1.9 1.04403 [-4, -3, -3, -1, -1, -1, -1, -2, -2, -1]
aggravates -1.9 0.83066 [-3, -2, -2, -2, -3, -1, -2, -2, 0, -2]
aggravating -1.2 0.9798 [-2, -2, -1, -2, -2, -1, 0, 1, -1, -2]
aggress -1.3 1.55242 [-2, -2, 2, -2, -1, -3, -3, -1, 1, -2]
aggressed -1.4 0.4899 [-1, -1, -1, -1, -2, -1, -2, -2, -2, -1]
aggresses -0.5 1.43178 [-1, -2, -1, -1, -3, 0, -1, 1, 2, 1]
aggressing -0.6 1.28062 [-1, -2, -1, 0, -1, -2, 2, -2, 1, 0]
aggression -1.2 1.77764 [-2, -2, 1, 1, -4, 2, -2, -2, -2, -2]
aggressions -1.3 1.48661 [-1, -2, -2, -2, -2, -3, 1, -2, 2, -2]
aggressive -0.6 1.28062 [-2, 1, -2, -2, 0, -2, -1, 1, 1, 0]
aggressively -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]
aggressivity -0.6 1.35647 [-3, -1, 1, 0, 0, 0, -3, -1, 1, 0]
aggressor -0.8 1.32665 [-2, 0, -1, 2, -2, -2, -1, -1, -2, 1]
aggressors -0.9 1.13578 [-2, -2, -1, -1, -1, 1, 1, 0, -2, -2]
aghast -1.9 1.04403 [-2, -3, -1, 0, -2, -1, -4, -2, -2, -2]
agitate -1.7 0.64031 [-2, -2, -3, -1, -1, -1, -2, -1, -2, -2]
agitated -2.0 0.63246 [-2, -2, -2, -2, -1, -3, -3, -2, -2, -1]
agitatedly -1.6 0.8 [-1, -2, -1, -3, -1, -3, -1, -1, -2, -1]
agitates -1.4 0.8 [-2, 0, -1, -2, -1, -1, -3, -1, -2, -1]
agitating -1.8 0.87178 [-2, -1, -1, -1, -2, -3, -1, -3, -3, -1]
agitation -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]
agitations -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]
agitato -0.1 1.13578 [1, 2, 0, 0, 0, 0, -2, 0, -2, 0]
agitator -1.4 0.8 [-1, -1, -1, -2, -1, -1, -2, -3, -2, 0]
agitators -2.1 0.9434 [-2, -3, -3, -2, -2, -1, -3, -2, 0, -3]
agog 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]
agonised -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]
agony -1.8 1.16619 [-3, -1, -2, -4, -2, -1, 0, -3, -1, -1]
agree 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]
agreed 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]
agreement 2.2 0.74833 [2, 1, 1, 3, 3, 3, 2, 2, 2, 3]
agreements 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]
alarm -1.4 0.91652 [-1, -1, -2, -2, -2, -2, -1, 1, -2, -2]
alarmed -1.4 0.4899 [-2, -1, -2, -2, -1, -1, -1, -2, -1, -1]
alarming -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]
alarmism -0.3 1.26886 [-2, 0, -2, -1, 0, 1, 1, -1, 2, -1]
alarmists -1.1 1.3 [-1, -2, -3, -2, -1, -2, 1, 1, 0, -2]
alarms -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]
alert 1.2 0.87178 [1, 2, 0, 1, 0, 2, 2, 0, 2, 2]
alienation -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]
allergic -1.2 0.4 [-1, -2, -1, -2, -1, -1, -1, -1, -1, -1]
allow 0.9 0.83066 [0, 0, 0, 1, 2, 2, 1, 1, 2, 0]
alone -1.0 0.63246 [-2, -1, -1, -1, -2, -1, 0, -1, -1, 0]
alright 1.0 0.7746 [0, 1, 0, 3, 1, 1, 1, 1, 1, 1]
amaze 2.5 1.0247 [3, 2, 3, 4, 2, 3, 1, 4, 2, 1]
amazed 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]
amazing 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]
ambitious 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]
amoralism -0.7 1.34536 [-2, -1, -2, 0, 0, -3, 2, 0, -1, 0]
amoralisms -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]
amorality -1.5 0.92195 [0, -1, -1, -2, -1, -3, -1, -3, -2, -1]
amorally -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]
amoroso 2.3 0.78102 [3, 1, 1, 2, 3, 3, 3, 3, 2, 2]
amorous 1.8 0.9798 [3, 1, 2, 2, 1, 1, 3, 0, 2, 3]
amorously 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]
amorphous -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]
amort -2.1 0.83066 [-3, -1, -2, -2, -2, -2, -2, -4, -1, -2]
amortise 0.5 1.43178 [0, 1, 1, 0, -3, 2, 0, 0, 2, 2]
amortised -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]
amortize -0.1 1.04403 [0, 0, 0, 0, 2, -2, -1, 1, -1, 0]
amortized 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]
amuse 1.7 0.78102 [1, 2, 1, 1, 2, 1, 1, 3, 3, 2]
amused 1.8 0.6 [1, 2, 2, 2, 2, 2, 1, 2, 3, 1]
amusedly 2.2 0.74833 [3, 3, 2, 2, 3, 2, 2, 3, 1, 1]
amusement 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]
anger -2.7 1.18743 [-1, -2, -3, -2, -4, -4, -2, -1, -4, -4]
angered -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]
angerly -1.9 0.53852 [-2, -2, -1, -1, -3, -2, -2, -2, -2, -2]
angers -2.3 0.9 [-3, -1, -2, -3, -2, -2, -4, -1, -3, -2]
angrier -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]
angrily -1.8 0.4 [-2, -1, -2, -2, -2, -1, -2, -2, -2, -2]
angriness -1.7 0.64031 [-2, 0, -2, -2, -1, -2, -2, -2, -2, -2]
angry -2.3 0.9 [-2, -2, -1, -3, -1, -2, -4, -2, -3, -3]
anguish -2.9 0.83066 [-3, -3, -2, -3, -4, -1, -3, -3, -4, -3]
anguished -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]
animosity -1.9 1.75784 [-2, -3, -3, -3, -2, 2, 1, -3, -3, -3]
annoy -1.9 0.53852 [-2, -2, -1, -2, -2, -1, -2, -2, -2, -3]
annoyance -1.3 1.55242 [-2, -3, -2, -2, -1, 1, -3, -2, 2, -1]
annoyances -1.8 0.6 [-2, -2, -2, -1, -1, -2, -3, -1, -2, -2]
annoyed -1.6 1.11355 [-3, -1, 1, -3, -1, -1, -2, -2, -2, -2]
annoyer -2.2 0.87178 [-3, -2, -1, -3, -2, -4, -2, -1, -2, -2]
annoyers -1.5 1.0247 [-2, -1, -2, -3, -2, -1, -1, -2, 1, -2]
annoying -1.7 0.64031 [-1, -2, -1, -2, -1, -1, -2, -2, -3, -2]
annoys -1.8 0.6 [-1, -2, -3, -2, -2, -2, -1, -2, -1, -2]
antagonism -1.9 1.04403 [-1, -1, -3, -2, -4, -2, -2, 0, -2, -2]
antagonisms -1.2 1.53623 [0, -2, -2, -2, -2, -2, 3, -2, -1, -2]
antagonist -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]
antagonistically -2.2 0.87178 [-2, -3, -4, -2, -2, -3, -2, -2, -1, -1]
antagonists -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]
anticipation 0.4 1.28062 [1, 1, -1, 0, -1, 1, 1, 2, -2, 2]
anxieties -0.6 1.85472 [-2, -3, -3, -2, -1, 2, -1, 1, 1, 2]
anxiety -0.7 2.1 [-2, -2, -2, -3, 3, -1, -3, 2, 2, -1]
anxious -1.0 0.44721 [-1, -2, -1, -1, 0, -1, -1, -1, -1, -1]
anxiously -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]
apathy -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]
appall -2.4 0.66332 [-3, -2, -2, -3, -2, -3, -1, -3, -2, -3]
appalled -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]
applaud 2.0 0.63246 [3, 2, 2, 2, 1, 2, 3, 1, 2, 2]
applauded 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]
applauds 1.4 0.66332 [1, 1, 2, 1, 3, 1, 1, 1, 2, 1]
applause 1.8 0.6 [2, 1, 1, 2, 3, 2, 1, 2, 2, 2]
appreciate 1.7 0.78102 [2, 1, 2, 1, 1, 3, 1, 2, 3, 1]
appreciated 2.3 0.78102 [2, 1, 3, 2, 3, 4, 2, 2, 2, 2]
appreciates 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]
apprehension -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]
approval 2.1 0.53852 [2, 2, 2, 2, 2, 1, 3, 3, 2, 2]
approved 1.8 0.6 [1, 1, 1, 2, 3, 2, 2, 2, 2, 2]
approves 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]
arguable -1.0 0.63246 [-1, -1, -2, -1, -1, -2, 0, 0, -1, -1]
arguably -1.0 1.09545 [0, -2, 0, -2, 0, 1, -1, -2, -2, -2]
argue -1.4 0.66332 [-1, -2, -1, -3, -2, -1, -1, -1, -1, -1]
argued -1.5 0.5 [-2, -2, -1, -1, -1, -1, -2, -2, -2, -1]
arguer -1.6 0.4899 [-2, -2, -1, -2, -1, -1, -2, -2, -2, -1]
arguers -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]
arguing -2.0 0.63246 [-3, -3, -1, -1, -2, -2, -2, -2, -2, -2]
argument -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]
arguments -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]
arrested -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]
arrogance -2.4 0.66332 [-3, -2, -2, -3, -1, -2, -3, -3, -2, -3]
arrogances -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]
arrogantly -1.8 1.4 [-3, -2, 2, -3, -1, -3, -2, -2, -2, -2]
ashamed -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]
ass -2.5 1.43178 [-4, -1, -2, -1, -3, 0, -2, -4, -4, -4]
assassination -2.9 0.9434 [-2, -4, -4, -3, -3, -4, -2, -3, -3, -1]
assassinations -2.7 1.34536 [-4, -2, -3, -2, -3, -1, -4, -4, 0, -4]
assault -2.8 0.9798 [-3, -4, -2, -2, -4, -3, -1, -3, -2, -4]
assaulted -2.4 1.28062 [-3, -3, 1, -3, -3, -3, -1, -3, -3, -3]
assaulting -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]
asset 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]
assfucking -2.5 1.43178 [-3, -3, 0, -3, 0, -2, -4, -4, -4, -2]
assholes -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]
assure 1.4 0.4899 [1, 1, 1, 1, 2, 1, 1, 2, 2, 2]
assured 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]
astonished 1.6 0.8 [3, 1, 0, 2, 2, 1, 2, 2, 1, 2]
astound 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]
attachment 1.2 0.9798 [2, 0, 1, 2, 3, 1, 1, 2, 0, 0]
attachments 1.1 0.7 [1, 1, 2, 0, 2, 1, 2, 0, 1, 1]
attack -2.1 0.83066 [-1, -3, -2, -3, -3, -1, -2, -1, -2, -3]
attacked -2.0 1.78885 [-2, 3, -2, -2, -3, -3, -3, -4, -2, -2]
attacker -2.7 0.9 [-2, -3, -2, -1, -3, -3, -4, -4, -2, -3]
attackers -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]
attacks -1.9 0.9434 [-2, -2, 0, -2, -2, -2, -1, -4, -2, -2]
attract 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]
attracted 1.8 0.6 [1, 3, 1, 2, 2, 2, 2, 2, 2, 1]
attracting 2.1 0.83066 [3, 1, 2, 2, 3, 1, 1, 3, 2, 3]
attraction 2.0 0.7746 [2, 2, 1, 1, 2, 3, 3, 2, 3, 1]
attractions 1.8 0.87178 [1, 3, 0, 2, 2, 2, 2, 3, 1, 2]
attractive 1.9 0.53852 [2, 2, 2, 1, 3, 2, 1, 2, 2, 2]
attractively 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]
audacious 0.9 2.02237 [3, -1, -2, 2, 1, 2, -3, 2, 2, 3]
authority 0.3 0.64031 [0, 0, 0, 1, 0, 0, 2, 0, 0, 0]
aversion -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]
avert -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]
avoid -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]
avoiders -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]
avoids -0.7 0.45826 [-1, -1, -1, -1, -1, -1, 0, 0, 0, -1]
await 0.4 0.4899 [0, 0, 0, 1, 0, 1, 0, 1, 1, 0]
awaited -0.1 0.83066 [1, 0, 0, 0, 1, -1, 0, 0, -2, 0]
awaits 0.3 0.78102 [0, 0, 0, 1, 2, 1, 0, 0, -1, 0]
award 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]
awesome 3.1 0.83066 [3, 4, 2, 3, 2, 2, 4, 4, 4, 3]
awful -2.0 2.04939 [-2, -2, -3, -3, -2, -3, 4, -3, -3, -3]
awkward -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]
axe -0.4 0.8 [-2, 0, 0, 0, 0, 0, -1, -1, -1, 1]
axed -1.3 0.78102 [-1, -2, 0, -3, -1, -2, -1, -1, -1, -1]
backed 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]
bad -2.5 0.67082 [-3, -2, -4, -3, -2, -2, -3, -2, -2, -2]
badass 1.4 1.26491 [1, 3, 2, 0, -1, 1, 3, 2, 1, 2]
badly -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]
ban -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]
bankrupt -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]
banned -2.0 1.0 [-2, -1, -1, -1, -2, -2, -4, -3, -3, -1]
bargain 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]
bashful -0.1 1.13578 [-1, 2, -1, 0, -1, 2, 0, 0, -1, -1]
bashfully 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]
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]
bastardly -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]
battle -1.6 1.28062 [-1, -3, 0, -3, -2, -3, -2, -2, 1, -1]
battled -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]
battlefields -0.9 1.22066 [-1, -1, 0, 0, -4, -1, 0, 0, 0, -2]
battlefront -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]
battlements -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]
beaten -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]
beating -2.0 0.63246 [-2, -3, -2, -2, -1, -1, -2, -3, -2, -2]
beaut 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]
beauty 2.8 0.74833 [3, 3, 2, 3, 4, 4, 2, 2, 3, 2]
belittle -1.9 0.53852 [-2, -2, -2, -1, -2, -2, -1, -2, -3, -2]
belittled -2.0 1.0 [-3, -2, -3, -3, -2, -3, -1, -1, -2, 0]
beloved 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]
benefits 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]
benevolently 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]
benign 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]
bereave -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]
best 3.2 0.6 [2, 4, 4, 3, 4, 3, 3, 3, 3, 3]
betray -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]
betrayed -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]
better 1.9 0.7 [2, 1, 2, 1, 1, 3, 2, 2, 3, 2]
bias -0.4 1.11355 [-1, -2, 0, -2, -1, 1, -1, 1, 0, 1]
biased -1.1 0.83066 [-2, -2, -1, -1, -1, -1, -1, 1, -2, -1]
bitch -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]
bitter -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]
bitterly -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]
bizarre -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]
blame -1.4 1.42829 [-4, -2, -2, -1, -1, -1, -2, 2, -2, -1]
blamed -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]
bless 1.8 0.6 [3, 2, 2, 1, 2, 2, 1, 2, 2, 1]
blessed 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]
blind -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]
blocked -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]
blurry -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]
bomb -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]
boost 1.7 0.64031 [1, 1, 2, 2, 2, 3, 1, 1, 2, 2]
boosted 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]
bore -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]
bored -1.1 0.9434 [-2, -1, -2, -1, 0, 0, -3, 0, -1, -1]
boredom -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]
borer -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]
boycott -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]
brave 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]
bribe -0.8 1.98997 [-3, 0, -1, -2, -1, -2, -4, 1, 3, 1]
bright 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]
brilliant 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]
broke -1.8 0.4 [-2, -2, -2, -2, -1, -2, -2, -1, -2, -2]
broken -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]
brutalised -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]
brutalities -2.6 1.0198 [-4, -2, -2, -4, -2, -4, -2, -3, -1, -2]
brutality -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]
brutalized -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]
brutally -3.0 0.44721 [-3, -3, -3, -3, -3, -3, -3, -2, -3, -4]
bullied -3.1 0.9434 [-4, -4, -4, -2, -2, -4, -4, -3, -2, -2]
bullshit -2.8 0.6 [-3, -3, -3, -3, -3, -4, -2, -3, -2, -2]
bully -2.2 1.6 [-2, -3, -3, -4, -2, -1, 2, -3, -3, -3]
bullying -2.9 0.7 [-3, -2, -3, -2, -4, -2, -3, -3, -4, -3]
bummer -1.6 0.8 [-3, -1, -1, -1, -3, -1, -1, -2, -2, -1]
buoyant 0.9 0.83066 [0, 1, 1, 2, 1, 0, 0, 2, 0, 2]
burden -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]
calm 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 -1.0 0.63246 [-2, -1, -1, -1, -1, 0, -1, 0, -2, -1]
cancelled -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]
captivated 1.6 0.4899 [2, 1, 2, 2, 2, 2, 1, 2, 1, 1]
care 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]
carefully 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]
careless -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]
catastrophe -3.4 0.4899 [-3, -3, -3, -4, -4, -3, -3, -3, -4, -4]
catastrophic -2.2 2.22711 [-3, -2, -4, -4, -4, -3, -2, -4, 2, 2]
cautious -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]
censored -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]
certain 1.1 0.7 [1, 0, 2, 0, 2, 2, 1, 1, 1, 1]
certainly 1.4 1.0198 [3, 2, 0, 1, 3, 1, 0, 1, 1, 2]
certainties 0.9 1.44568 [0, -2, 4, 0, 1, 1, 1, 1, 2, 1]
certainty 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]
challenge 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]
champ 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]
champaign 0.2 0.6 [0, 0, 0, 0, 2, 0, 0, 0, 0, 0]
champaigns 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]
chance 1.0 0.7746 [1, 1, 0, 0, 0, 2, 1, 2, 1, 2]
chances 0.8 0.4 [0, 1, 1, 0, 1, 1, 1, 1, 1, 1]
chaos -2.7 0.9 [-2, -2, -3, -1, -4, -3, -3, -2, -3, -4]
chaotic -2.2 1.4 [-3, -2, -1, -2, -3, 1, -2, -2, -4, -4]
charged -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]
charm 1.7 0.78102 [3, 1, 1, 3, 2, 2, 1, 1, 1, 2]
charmed 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]
cheat -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]
choke -2.5 0.92195 [-1, -2, -3, -3, -2, -4, -2, -4, -2, -2]
choked -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]
clean 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]
clear 1.6 1.2 [2, 1, 1, 0, 3, 1, 2, 4, 2, 0]
cleared 0.4 0.4899 [0, 0, 1, 1, 0, 0, 0, 0, 1, 1]
clearly 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]
clever 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]
cocksuckers -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]
comedian 1.6 1.0198 [1, 0, 2, 3, 2, 0, 3, 1, 2, 2]
comedians 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]
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]
commit 1.2 0.87178 [1, 0, 2, 2, 0, 0, 2, 2, 1, 2]
commitment 1.6 0.91652 [3, 1, 2, 0, 3, 1, 2, 1, 2, 1]
commitments 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]
complain -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]
complainer -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]
condemn -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]
condemned -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]
conflict -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]
confront -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]
confuse -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]
contagious -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]
convinced 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]
crazily -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]
creative 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]
creativity 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]
crime -2.5 0.80623 [-3, -3, -4, -2, -2, -1, -2, -2, -3, -3]
criminal -2.4 0.91652 [-3, -2, -4, -3, -1, -2, -3, -2, -1, -3]
criminals -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]
cruelly -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]
cruelty -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]
cry -2.1 0.53852 [-2, -2, -2, -1, -2, -2, -3, -3, -2, -2]
crying -2.1 0.7 [-3, -1, -2, -2, -3, -2, -3, -2, -1, -2]
cunt -2.2 2.08806 [-4, -1, -4, -2, 2, -4, -4, -3, 1, -3]
cunts -2.9 1.44568 [-3, -4, -3, -4, -4, -4, -3, 1, -3, -2]
curious 1.3 0.78102 [0, 1, 0, 2, 2, 2, 1, 1, 2, 2]
curse -2.5 0.67082 [-3, -3, -4, -2, -2, -3, -2, -2, -2, -2]
cut -1.1 0.53852 [-2, -1, -1, -1, 0, -1, -1, -1, -2, -1]
cute 2.0 0.63246 [1, 3, 1, 2, 2, 2, 2, 3, 2, 2]
cutely 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]
cynic -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]
damage -2.2 0.4 [-2, -3, -2, -2, -3, -2, -2, -2, -2, -2]
damaged -1.9 0.53852 [-2, -2, -2, -1, -2, -1, -2, -2, -3, -2]
damager -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]
damages -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]
damn -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]
damned -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]
damnified -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]
danger -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]
dangerous -2.1 0.3 [-2, -3, -2, -2, -2, -2, -2, -2, -2, -2]
dangerously -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]
darkness -1.0 0.44721 [-2, -1, -1, -1, -1, 0, -1, -1, -1, -1]
darling 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]
dead -3.3 1.00499 [-4, -4, -1, -4, -4, -3, -4, -2, -3, -4]
deadlock -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]
dear 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]
dears 1.9 0.83066 [3, 2, 2, 2, 1, 2, 2, 2, 0, 3]
dearth -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]
death -2.9 1.04403 [-3, -4, -4, -3, -3, -1, -1, -4, -3, -3]
debonair 0.8 1.72047 [1, -1, -1, -3, 2, 2, 2, 2, 2, 2]
debt -1.5 1.0247 [-2, -1, -2, -3, 1, -2, -2, -1, -1, -2]
decay -1.7 0.45826 [-2, -2, -2, -1, -2, -1, -1, -2, -2, -2]
decayed -1.6 0.91652 [-2, -2, -2, -2, -2, 1, -1, -2, -2, -2]
decayer -1.6 0.4899 [-2, -2, -2, -1, -2, -1, -1, -1, -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]
decays -1.7 0.45826 [-2, -1, -2, -2, -1, -2, -1, -2, -2, -2]
deceit -2.0 1.34164 [-3, -2, -2, -3, -3, 0, 1, -2, -3, -3]
deceitful -1.9 1.22066 [-3, -2, -2, -3, -1, -3, -1, -3, -2, 1]
deceive -1.7 0.64031 [-1, -2, -2, -1, -2, -1, -1, -3, -2, -2]
deceived -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]
deception -1.9 1.04403 [-1, -2, -2, -4, -2, 0, -2, -1, -3, -2]
decisive 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]
defeat -2.0 1.67332 [0, -4, -3, -4, -2, -1, -2, -1, 1, -4]
defeated -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]
defect -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]
defector -1.9 0.53852 [-2, -3, -2, -2, -1, -2, -1, -2, -2, -2]
defectors -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]
defence 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]
defences -0.2 1.16619 [0, 0, 0, 1, -2, -1, 0, -2, 0, 2]
defender 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]
defense 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]
defer -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]
definitely 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]
degradation -2.4 1.0198 [-4, -3, -3, -3, -3, -2, -2, -2, 0, -2]
degradations -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]
degraded -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]
dehumanize -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]
dehumanizes -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]
dejected -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]
delay -1.3 0.45826 [-1, -1, -1, -2, -1, -1, -2, -1, -2, -1]
delayed -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]
delicate 0.2 0.74833 [2, 0, 0, 0, 0, 0, 1, 0, -1, 0]
delicately 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]
delicious 2.7 0.64031 [3, 2, 3, 4, 2, 3, 3, 3, 2, 2]
deliciously 1.9 0.83066 [2, 2, 1, 3, 1, 3, 2, 3, 1, 1]
deliciousness 1.8 0.87178 [1, 2, 3, 3, 2, 2, 1, 2, 2, 0]
delight 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]
demand -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]
denied -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]
deny -1.4 0.4899 [-1, -1, -1, -1, -2, -1, -2, -2, -1, -2]
denying -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]
deprivation -1.8 1.4 [-3, -2, -3, -2, -1, -2, -2, 2, -2, -3]
deprivations -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]
derail -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]
deride -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]
desire 1.7 0.78102 [1, 1, 2, 1, 3, 3, 1, 2, 2, 1]
desired 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]
despair -1.3 1.9 [2, -1, -3, -1, -3, 1, -3, 1, -3, -3]
despaired -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]
despairing -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]
desperate -1.3 1.34536 [-2, -1, -2, 1, -1, -2, -3, -3, -1, 1]
desperately -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]
desperation -2.0 1.0 [-2, -1, -1, -2, -3, -3, -1, -4, -1, -2]
desperations -2.2 1.66132 [-1, -4, -2, -4, -4, -1, -1, -2, 1, -4]
despise -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]
destroy -2.5 0.67082 [-2, -3, -3, -1, -3, -3, -3, -2, -2, -3]
destroyed -2.2 0.87178 [-1, -3, -3, -2, -1, -2, -1, -3, -3, -3]
destroyer -2.0 0.89443 [-2, -3, -3, -3, -1, -2, -2, -2, 0, -2]
destroyers -2.3 0.78102 [-1, -3, -3, -3, -2, -2, -3, -3, -1, -2]
destroying -2.6 0.91652 [-2, -4, -4, -2, -1, -3, -2, -3, -2, -3]
destroys -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]
destructed -1.9 1.04403 [-4, -1, -2, -2, -2, -1, -3, -2, 0, -2]
destructibility -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]
detached -0.5 1.20416 [-1, 2, -1, -1, -2, 0, 1, -2, -1, 0]
detain -1.8 0.9798 [-3, -1, -2, -2, -4, -2, -1, -1, -1, -1]
detained -1.7 0.9 [-1, -1, -1, -1, -1, -2, -2, -2, -2, -4]
detention -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]
determinate 0.8 0.87178 [2, 1, 0, 0, 0, 2, 2, 0, 1, 0]
determinately 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]
determined 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]
devil -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]
devils -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]
devote 1.4 1.28062 [3, 0, 2, -1, 0, 3, 2, 2, 1, 2]
devoted 1.7 1.34536 [2, -1, 3, 2, 1, 0, 1, 3, 3, 3]
devotedly 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]
diamond 1.4 1.42829 [0, 0, 2, 0, 1, 3, 1, 3, 0, 4]
dick -2.3 1.18743 [-2, -3, -4, -2, 0, -4, -2, -1, -3, -2]
dickhead -3.1 0.53852 [-4, -3, -3, -3, -4, -2, -3, -3, -3, -3]
die -2.9 0.9434 [-4, -3, -1, -2, -4, -3, -3, -3, -2, -4]
died -2.6 1.28062 [-3, -1, -3, -4, -2, -4, -3, -4, -2, 0]
difficult -1.5 0.5 [-2, -2, -1, -1, -2, -1, -1, -2, -1, -2]
difficulties -1.2 0.4 [-1, -2, -1, -1, -1, -2, -1, -1, -1, -1]
difficultly -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]
dignitaries 0.6 0.91652 [0, 0, 1, 0, 0, 0, 3, 0, 1, 1]
dignitary 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]
dignity 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]
dipshit -2.1 0.7 [-1, -2, -2, -3, -2, -3, -3, -2, -2, -1]
dire -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]
dirt -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]
dirty -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]
dislike -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]
disorganized -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]
dispute -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]
distorted -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]
doubt -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]
dynamic 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]
dynamism 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]
dynamite 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]
dynamiter -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]
easy 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]
emergency -1.6 2.05913 [-3, -3, -3, -3, -4, 2, 1, -1, 1, -3]
emotional 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]
empty -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]
euphoria 3.3 0.9 [4, 4, 3, 3, 3, 4, 4, 4, 1, 3]
euphoric 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]
evil -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]
evils -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]
exclude -0.9 1.13578 [-1, -2, -1, -3, -1, 1, -1, -1, 1, -1]
excluded -1.4 1.62481 [-2, -1, -3, -3, -2, -3, -2, 1, -1, 2]
exclusion -1.2 1.249 [-2, -2, -3, -1, -2, -1, -1, -1, 2, -1]
exclusive 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]
exhaust -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]
exonerated 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]
fabulous 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]
failed -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]
fascist -2.6 0.8 [-3, -3, -2, -2, -2, -3, -1, -3, -4, -3]
fascists -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]
fatalism -0.6 1.8 [0, 0, -3, -4, -1, 1, 0, 2, -2, 1]
fatalisms -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]
fatality -3.5 0.67082 [-2, -4, -4, -4, -3, -4, -4, -4, -3, -3]
fatally -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]
fault -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]
faultier -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]
favorite 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]
favour 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]
fear -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]
fears -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]
feeling 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]
ferocity -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]
festive 2.0 0.63246 [2, 3, 2, 3, 1, 2, 2, 2, 1, 2]
festively 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]
feudalism -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]
flees -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]
flu -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]
fool -1.9 0.53852 [-2, -2, -2, -2, -1, -2, -2, -3, -1, -2]
fooled -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]
fools -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]
forbid -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]
forbidden -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]
forced -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]
forget -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]
forgive 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]
forgiver 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]
fraud -2.8 0.6 [-3, -3, -2, -3, -2, -3, -3, -2, -4, -3]
frauds -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]
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]
free 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]
freedom 3.2 0.9798 [4, 4, 1, 3, 2, 4, 4, 3, 3, 4]
freedoms 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]
freely 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]
freezes -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]
fresh 1.3 0.45826 [2, 2, 1, 1, 1, 1, 2, 1, 1, 1]
friend 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]
friendlily 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]
friendly 2.2 0.6 [2, 1, 3, 3, 2, 2, 3, 2, 2, 2]
friends 2.1 0.53852 [3, 3, 2, 2, 2, 1, 2, 2, 2, 2]
friendship 1.9 0.53852 [1, 2, 2, 1, 3, 2, 2, 2, 2, 2]
friendships 1.6 0.91652 [2, 1, 1, 0, 3, 2, 2, 3, 1, 1]
fright -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]
frighten -1.4 0.8 [0, -1, -1, -1, -2, -1, -3, -2, -1, -2]
frightened -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]
frisky 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]
frustrate -2.0 0.63246 [-2, -3, -2, -1, -3, -2, -2, -1, -2, -2]
frustrated -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]
frustration -2.1 0.7 [-3, -2, -3, -2, -1, -2, -3, -2, -1, -2]
frustrations -2.0 0.7746 [-2, -1, -1, -3, -2, -2, -3, -3, -2, -1]
fuck -2.5 1.20416 [0, -3, -4, -3, -2, -3, -4, -1, -2, -3]
fucked -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]
fulfills 1.0 1.09545 [2, 1, 1, 1, 1, -2, 2, 2, 1, 1]
fume -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]
fumelike -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]
fun 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]
funky -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]
funny 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]
furious -2.7 1.41774 [-3, -3, -3, -4, -4, -4, 1, -2, -3, -2]
furiously -1.9 1.04403 [-2, -2, -4, -2, -1, -2, -1, -3, 0, -2]
fury -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]
gag -1.4 1.0198 [-2, -2, -1, -2, 0, -2, -3, 0, 0, -2]
gagged -1.3 1.55242 [-2, -2, -1, -2, 2, -3, -1, -3, 1, -2]
gain 2.4 0.4899 [2, 3, 2, 2, 3, 2, 3, 2, 3, 2]
gained 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]
generosities 2.6 0.4899 [3, 3, 2, 3, 2, 3, 2, 3, 2, 3]
generosity 2.3 0.64031 [3, 1, 2, 2, 3, 2, 3, 3, 2, 2]
generous 2.3 0.78102 [3, 2, 4, 2, 2, 1, 2, 3, 2, 2]
generously 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]
ghost -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]
gift 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]
gracioso 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]
great 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]
grieve -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]
grim -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]
grime -1.5 0.92195 [-1, -2, -1, -1, -1, -3, 0, -2, -1, -3]
grimed -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]
gross -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]
growth 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]
guilt -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]
guilty -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]
happy 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]
hate -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]
healthy 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]
heaven 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]
hell -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]
help 1.7 0.78102 [3, 2, 1, 2, 1, 2, 3, 1, 1, 1]
helper 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]
helping 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]
hero 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]
hide -0.7 0.64031 [0, -1, -1, -1, -1, 0, 0, -2, -1, 0]
hides -0.7 0.9 [-1, -2, -1, 0, -1, 0, 0, -2, 1, -1]
hiding -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]
holiday 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]
horribly -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]
hostilities -2.1 0.53852 [-2, -3, -2, -2, -2, -2, -1, -2, -3, -2]
hostility -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]
hug 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]
hugs 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]
humour 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]
hysteria -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]
idealism 1.7 1.1 [1, 2, 0, 3, 3, 2, 1, 2, 3, 0]
idealisms 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]
ideally 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]
idiot -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]
ignorance -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]
ignored -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]
ill -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]
imbecile -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]
immorally -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]
impatience -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]
impatient -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]
imperfect -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]
importance 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]
importancy 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]
imposed -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]
impression 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]
impressionism 0.8 1.07703 [0, 2, 3, 0, 0, 2, 0, 0, 1, 0]
impressionisms 0.5 0.80623 [0, 0, 0, 0, 0, 2, 0, 1, 0, 2]
impressionist 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]
impressionistically 1.6 0.8 [2, 0, 1, 1, 2, 2, 3, 2, 2, 1]
impressionists 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]
imprisoned -2.0 1.0 [-4, -2, -3, -1, -3, -2, -1, -2, -1, -1]
improve 1.9 0.7 [2, 3, 3, 2, 1, 1, 2, 2, 1, 2]
improved 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]
improvements 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]
inaction -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]
incompetence -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]
increase 1.3 0.64031 [1, 2, 2, 1, 2, 0, 1, 1, 2, 1]
increased 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]
indignation -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]
inferiority -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]
injustice -2.7 0.64031 [-3, -2, -3, -4, -3, -3, -2, -2, -3, -2]
innocence 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]
inquisition -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]
insecure -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]
integrity 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]
intimidators -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]
isolate -0.8 0.74833 [-1, -1, -1, 0, 0, 0, 0, -2, -1, -2]
isolated -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]