The Discriminative Lexicon: A Unified Computational Model for the Lexicon and Lexical Processing in Comprehension and Production Grounded Not in (De)Composition but in Linear Discriminative Learning

Table 3

GAM fitted to plausibility ratings for derivational neologisms with the derivational lexomes ABLE, AGAIN, AGENT, IST, LESS, and NOT; data from Marelli and Baroni [60].

A. parametric coefficients	Estimate	Std. Error	t-value	p-value
Intercept	-1.8072	2.7560	-0.6557	0.5127
Word Length	0.5901	0.2113	2.7931	0.0057
Activation Diversity	1.1221	0.6747	1.6632	0.0976
Arousal	0.3847	0.1521	2.5295	0.0121
Word Length Activation Diversity	-0.1318	0.0500	-2.6369	0.0089
B. smooth terms	edf	Ref.df	F-value	p-value
Random Intercepts Affix	3.3610	4.0000	55.6723	0.0001