Connectionist psycholinguistics: capturing the empirical data
UNSPECIFIED (2001) Connectionist psycholinguistics: capturing the empirical data. TRENDS IN COGNITIVE SCIENCES, 5 (2). pp. 82-88. ISSN 1364-6613Full text not available from this repository.
Connectionist psycholinguistics is an emerging approach to modeling empirical data on human language processing using connectionist computational architectures. For almost 20 years, connectionist models have increasingly been used to model empirical data across many areas of language processing. We critically review four key areas: speech processing, sentence processing, language production, and reading aloud, and evaluate progress against three criteria: data contact, task veridicality, and input representativeness. Recent connectionist modeling efforts have made considerable headway toward meeting these criteria, although it is by no means clear whether connectionist (or symbolic) psycholinguistics will eventually provide an integrated model of full-scale human language processing.
|Item Type:||Journal Item|
|Subjects:||B Philosophy. Psychology. Religion > BF Psychology
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
|Journal or Publication Title:||TRENDS IN COGNITIVE SCIENCES|
|Publisher:||ELSEVIER SCIENCE LONDON|
|Number of Pages:||9|
|Page Range:||pp. 82-88|
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