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Cited by 678

The DOI matches its Crossref record; 98 of the 98 references it cites were found in a registry or an index.

Learning argument structure generalizations

·2004·cogl

Abstract

General correlations between form and meaning at the level of argument structure patterns have often been assumed to be innate. Claims of in-nateness typically rest on the idea that the input is not rich enough for gen-eral learning strategies to yield the required representations. The present work demonstrates that the semantics associated with argument structure generalizations can indeed be learned, given the nature of the input and an understanding of general categorization strategies. Examination of an ex-tensive corpus study of children’s and mothers ’ speech shows that tokens of one particular verb are found to account for the lion’s share of instances of each argument frame considered. Experimental results are reported that demonstrate that high token frequency of a single prototypical exemplar facilitates the learning of constructional meaning.

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Research works printed but not linked: 2

  1. Hovav, 1998, Building verb meanings In ed The Projection of Lexical and Compositional Factors Stanford CSLI Publica tions, Arguments, 97
  2. Schlesinger, 1982, Steps to Language : Toward a Theory of Language Acquisition Erlbaum Learning argument structure generalizations Implicit learning, Psychological Bulletin, 115, 163

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Metadata

Venue
cogl
Published
2004-07-22
Volume
15
Issue
3
Pages
289-316
ISSN
  • 0936-5907 (ISSN-L)
  • 1613-3641
OpenAlex
W2115638257
Cited by
678
References
98
FWCI
139.49
Type
journal article
Language
en
Open access
closed

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Learning argument structure generalizations. (2004). cogl. https://doi.org/10.1515/cogl.2004.011

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