A parallel distributed processing model of visual word recognition and pronunciation is
described. The model consists of sets of orthographic and phonological units and an interlevel of …

… This issue is considered again in the general discussion and more extensively in Seidenberg
(in … , the exception effect for lower frequency words was very small in our study (Seidenberg …

Three experiments using 88 undergraduates examined the role of orthography in rhyme
detection. Ss in Exps I–II monitored lists of aurally presented words for a word that rhymed with …

Recent research indicates that sensory and motor cortical areas play a significant role in the
neural representation of concepts. However, little is known about the overall architecture of …

… Our model originated with some observations by Seidenberg (1992a) concerning the
computation of meaning in different writing systems. Seidenberg (1992a) introduced the idea that …

Four experiments examined how irregularities in spelling or in the correspondence between
spelling and sound influence two reading tasks, naming and lexical decision. The words …

… developed by Seidenberg and McClelland (1989) and Plaut, McClelland, Seidenberg, and
… The model that we have been developing since Seidenberg and McClelland (1989) does …

What kinds of knowledge underlie the use of language and how is this knowledge acquired?
Linguists equate knowing a language with knowing a grammar. Classic “poverty of the …

A connectionist approach to processing in quasi-regular domains, as exemplified by English
word reading, is developed. Networks using appropriately structured orthographic and …

Ambiguity resolution is a central problem in language comprehension. Lexical and syntactic
ambiguities are standardly assumed to involve different types of knowledge representations …