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Accounting for the fine structure of syntactic working memory: Similarity-based interference as a unifying principle

Published online by Cambridge University Press:  01 February 1999

Richard L. Lewis
Affiliation:
Department of Computer and Information Science and Center for Cognitive Science, The Ohio State University, Columbus, OH 43210 rick@cis.ohio-state.edu www.cis.ohio-state.edu/~rick
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Abstract

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A promising approach to more refined models consistent with the Caplan & Waters hypothesis is based on similarity-based interference, a general principle that applies across working memory domains. This may explain both the fine details of syntactic working memory phenomena and the gross fractionation for which Caplan & Waters have found evidence. Detailed models of syntactic processing that embody similarity-based interference fare well cross-linguistically.

Type
Open Peer Commentary
Copyright
© 1999 Cambridge University Press