Presentation | 2004/7/2 Modeling Ambiguity Resolution Douglas ROLAND, Jeffrey L. ELMAN, Victor S. FERREIRA, |
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Abstract(in Japanese) | (See Japanese page) |
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 |
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Conference Date | 2004/7/2(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Thought and Language (TL) |
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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 |