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 5

Summary of a generalized additive model fitted to response latencies in visual lexical decision using measures based on LDL. s: thin plate regression spline smooth; te: tensor product smooth.

A. parametric coefficients	Estimate	Std. Error	t-value	p-value
intercept	-1.7774	0.0087	-205.414	<.0001
word type:Inflected	0.1110	0.0059	18.742	<.0001
word type:Monomorphemic	0.0233	0.0054	4.322	<.0001
word length	0.0117	0.0011	10.981	<.0001
B. smooth terms	edf	Ref.df	F	p-value
s(total activation diversity)	6.002	7.222	23.6	<.0001
te(route congruency, prior)	14.673	17.850	213.7	<.0001