Implicit Schemata and Categories in Memory-based Language Processing.
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 assumptio...
| Publicado en: | Language & Speech Vol. 56; no. 3; pp. 309 - 329 |
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| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Sep2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104223067&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104223067 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00238309 3YY jtl: Language & Speech issn: 00238309 maglogo: Y pubinfo: dt: Sep2013 vid: 56 iid: 3 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 104223067 90217187 90217187 10.1177/0023830913484902 104223067 ppf: 309 ppct: 20 formats: fmt: @attributes: type: P tig: atl: Implicit Schemata and Categories in Memory-based Language Processing. aug: au: van den Bosch, Antal Daelemans, Walter sug: subj: Memory Language Processing Theory Construction Classification Learning Methods Language Development Linguistics Human Analytic Research Comparative Studies Decision Making Concept Mapping Computer Simulation Cues Information Retrieval Hypothesis ab: 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. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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