Presentation 2004/7/2
Modeling Ambiguity Resolution
Douglas ROLAND, Jeffrey L. ELMAN, Victor S. FERREIRA,
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Abstract(in English) Previous psycholinguistic research has shown that a variety of contextual factors can influence the interpretation of syntactically ambiguous structures, but psycholinguistic experimentation inherently does not allow for the investigation of the role that these factors play in natural (uncontrolled) language use. We use regression modeling in conjunction with data from the British National Corpus to measure the amount and specificity of the information available for disambiguation in natural language use. We examine the Direct Object/Sentential Complement ambiguity and the closely related issue of complementizer use in sentential complements, and find that both ambiguity resolution and complementizer use can be predicted from contextual information.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Ambiguity Resolution / Sentence Processing / Corpus Data
Paper # TL2004-10
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Committee TL
Conference Date 2004/7/2(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Modeling Ambiguity Resolution
Sub Title (in English)
Keyword(1) Ambiguity Resolution
Keyword(2) Sentence Processing
Keyword(3) Corpus Data
1st Author's Name Douglas ROLAND
1st Author's Affiliation Center for Research in Language, University of California()
2nd Author's Name Jeffrey L. ELMAN
2nd Author's Affiliation Center for Research in Language, University of California
3rd Author's Name Victor S. FERREIRA
3rd Author's Affiliation Center for Research in Language, University of California
Date 2004/7/2
Paper # TL2004-10
Volume (vol) vol.104
Number (no) 170
Page pp.pp.-
#Pages 4
Date of Issue