Abstract
Probabilistic context-free grammars (PCFGs) are a popular cognitive model of syntax (Jurafsky, 1996). These can be formulated to be sensitive to human working memory constraints by application of a right-corner transform (Schuler, 2009). One side-effect of the transform is that it guarantees at most a single expansion (push) and at most a single reduction (pop) during a syntactic parse. The primary finding of this paper is that this property of right-corner parsing can be exploited to obtain a dramatic reduction in the number of random variables in a probabilistic sequence model parser. This yields a simpler structure that more closely resembles existing simple recurrent network models of sentence comprehension.
Original language | English (US) |
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Title of host publication | Proceedings of the 2012 Workshop on Cognitive Modeling and Computational Linguistics, CMCL 2012 at the 2012 Conference of the North American Chapter of the Association for Computational Linguistics |
Subtitle of host publication | Human Language Technologies, NAACL-HLT 2012 |
Editors | David Reitter, David Reitter, Roger Levy |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 51-60 |
Number of pages | 10 |
ISBN (Electronic) | 1937284204, 9781937284206 |
State | Published - 2012 |
Event | 3rd Workshop on Cognitive Modeling and Computational Linguistics, CMCL 2012 at the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2012 - Montreal, Canada Duration: Jun 7 2012 → … |
Publication series
Name | Proceedings of the Annual Meeting of the Association for Computational Linguistics |
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Volume | 2012-June |
ISSN (Print) | 0736-587X |
Conference
Conference | 3rd Workshop on Cognitive Modeling and Computational Linguistics, CMCL 2012 at the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2012 |
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Country/Territory | Canada |
City | Montreal |
Period | 6/7/12 → … |
Bibliographical note
Publisher Copyright:© 2012 Association for Computational Linguistics