Table 2.

Results of the linear mixed effects model predicting distance between verbs.

Predictor	Estimate	SE	t value	P
Intercept	348.10	6.16	56.55	<.001***
Levenshtein Distance	2.68	0.25	10.53	<.001***
LSA Similarity	−46.64	3.74	−12.48	<.001***
Clause Distance	0.26	0.03	8.86	<.001***
Shared Sentence	9.68	4.12	2.35	.02*
Shared Space	6.97	1.45	4.80	<.001***
Shared Time	−4.96	1.96	−2.53	.01*
Shared Entity	8.21	2.71	3.03	.002**
Shared Cause	1.67	2.32	0.72	.47
Shared Goal	−8.90	1.46	−6.11	<.001***
Shared Event	−8.16	1.78	−4.58	<.001***

Note: We dummy coded the categorical predictors and centered the continuous predictors at their means before entering them into the analyses. The estimates are unstandardized weights, showing a change in Euclidean distances based on a single unit of change in the predictor.

^*p < .05

^**p < .01

^***p < .001