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Titolo:
A probabilistic constraints approach to language acquisition and processing
Autore:
Seidenberg, MS; MacDonald, MC;
Indirizzi:
Univ So Calif, Program Neurosci, Los Angeles, CA 90089 USA Univ So Calif Los Angeles CA USA 90089 eurosci, Los Angeles, CA 90089 USA
Titolo Testata:
COGNITIVE SCIENCE
fascicolo: 4, volume: 23, anno: 1999,
pagine: 569 - 588
SICI:
0364-0213(199910/12)23:4<569:APCATL>2.0.ZU;2-1
Fonte:
ISI
Lingua:
ENG
Soggetto:
SYNTACTIC AMBIGUITY RESOLUTION; SEMANTIC INFLUENCES; WORD RECOGNITION; CONNECTIONISM; ATTACHMENT; CONTEXT; SPEECH; MODELS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
Citazioni:
81
Recensione:
Indirizzi per estratti:
Indirizzo: Seidenberg, MS Univ So Calif, Program Neurosci, Los Angeles, CA 90089 USA Univ So Calif Los Angeles CA USA 90089 geles, CA 90089 USA
Citazione:
M.S. Seidenberg e M.C. MacDonald, "A probabilistic constraints approach to language acquisition and processing", COGN SCI, 23(4), 1999, pp. 569-588

Abstract

This article provides an overview of a probabilistic constraints frameworkfor thinking about language acquisition and processing. The generative approach attempts to characterize knowledge of language (i.e., competence grammar) and then asks how this knowledge is acquired and used. Our approach isperformance oriented: the goal is to explain how people comprehend and produce utterances and how children acquire this skill. Use of language involves exploiting multiple probabilistic constraints over various types of linguistic and nonlinguistic information. Acquisition is the process of accumulating this information, which begins in infancy. The constraint satisfaction processes that ore central to language use are the same as the bootstrapping processes that provide entry to language for the child. Framing questions about acquisition in terms of models of adult performance unifies the two topics under a set of common principles and has important consequences for arguments concerning language learnability.

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Documento generato il 28/11/20 alle ore 18:47:18