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 6

Summary of a generalized additive model fitted to response latencies in visual lexical decision using measures from NDL. te: tensor product smooth.

A. parametric coefficients	Estimate	Std. Error	t-value	p-value
intercept	-1.6934	0.0086	-195.933	<.0001
word type:Inflected	0.0286	0.0052	5.486	<.0001
word type:Monomorphemic	0.0042	0.0055	0.770
word length	0.0066	0.0011	5.893	<.0001
B. smooth terms	edf	Ref.df	F	p-value
te(activation, activation diversity, prior)	41.34	49.72	108.4	<.0001