Parallel distributed processing and lexical-semantic effects in visual word recognition: are a few stages necessary?
D. C. Plaut and J. R. Booth (2000) presented a parallel distributed processing model that purports to simulate human lexical decision performance. This model (and D. C. Plaut, 1995) offers a single mechanism account of the pattern of factor effects on reaction time (RT) between semantic priming, word frequency, and stimulus quality without requiring a stages-of-processing account of additive effects. Three problems are discussed. First, no evidence is provided that this model can discriminate between words and nonwords with the same orthographic structure and still produce the pattern of factor effects on RT it currently claims to produce. Second, the level of representation used by the model to make a lexical decision is inconsistent with what is known about how skilled readers with damage to their semantic system make word/nonword discriminations. Finally, there are a number of results that are difficult to reconcile with the single mechanism account. The authors' preference is to retain the stages-of-processing account.
Borowsky
Ron
R
Psychology Department, University of Saskatchewan, Saskatoon, SK, Canada. ron.borowsky@usask.ca
Besner
Derek
D
D006801:Humans; D021641:Recognition, Psychology; D012044:Regression Analysis; D012660:Semantics; D014796:Visual Perception; D014825:Vocabulary