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Nonword Pronunciation and Models of Word Recognition
Nonword pronunciation is a form of generalization behavior that has been at the center of debates about models of word recognition, the role of rules in explaining behavior, and the adequacy of the parallel distributed processing approach. An experiment yielded data concerning the pronunciation of a...
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Published in: | Journal of experimental psychology. Human perception and performance 1994-12, Vol.20 (6), p.1177-1196 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | Nonword pronunciation is a form of generalization behavior that has been at the center of
debates about models of word recognition, the role of rules in explaining behavior, and the
adequacy of the parallel distributed processing approach. An experiment yielded data concerning
the pronunciation of a large corpus of nonwords. The data were then used to assess 2 models of
naming: a model developed by
D. C. Plaut and J. L.
McClelland (1993)
, which is similar to the one described by
M. S. Seidenberg and J. L. McClelland
(1989)
but uses improved orthographic and phonological representations, and
the grapheme-phoneme correspondence rules of
M. Coltheart, B. Curtis, P. Atkins, and M. Haller's (1993)
dual-route
model. Both models generate plausible nonword pronunciations and match subjects' responses
accurately. The dual-route model does so by using rules that generate correct output for most
words but mispronounce a significant number of exceptions. The parallel distributed processing
model does so by finding a set of weights that allow it to generate correct output for both
"rule-governed" items and exceptions. Some ways in which the two approaches
differ and other issues facing them are also discussed. |
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ISSN: | 0096-1523 1939-1277 |
DOI: | 10.1037/0096-1523.20.6.1177 |