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Title
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Implicit schemata and categories in memory-based language processing
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Author
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Abstract
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| Memory-based language processing (MBLP) is an approach to language processing based on exemplar storage during learning and analogical reasoning during processing. From a cognitive perspective, the approach is attractive as a model for human language processing because it does not make any assumptions about the way abstractions are shaped, nor any a priori distinction between regular and exceptional exemplars, allowing it to explain fluidity of linguistic categories, and both regularization and irregularization in processing. Schema-like behaviour and the emergence of categories can be explained in MBLP as by-products of analogical reasoning over exemplars in memory. We focus on the reliance of MBLP on local (versus global) estimation, which is a relatively poorly understood but unique characteristic that separates the memory-based approach from globally abstracting approaches in how the model deals with redundancy and parsimony. We compare our model to related analogy-based methods, as well as to example-based frameworks that assume some systemic form of abstraction. |
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Language
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English
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Source (journal)
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Language and speech. - Teddington, Md, 1958, currens
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Publication
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Teddington, Md
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2013
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ISSN
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0023-8309
[print]
1756-6053
[online]
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DOI
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10.1177/0023830913484902
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Volume/pages
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56
:3
(2013)
, p. 309-328
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ISI
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000324321300004
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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