Learning the countability of English nouns from corpus data

Learning the countability of English nouns from corpus data

This paper describes a method for learning the countability preferences of English nouns from raw text corpora. The method maps the corpus-attested lexico-syntactic properties of each noun onto a feature vector, and uses a suite of memory-based classifiers t...

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Main Authors: Baldwin, Timothy, Bond, Francis
Other Authors: School of Humanities and Social Sciences
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics
Online Access:https://hdl.handle.net/10356/92279
http://hdl.handle.net/10220/6825
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-92279
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spelling sg-ntu-dr.10356-922792020-03-07T12:10:36Z Learning the countability of English nouns from corpus data Baldwin, Timothy Bond, Francis School of Humanities and Social Sciences Annual Meeting of the Association for Computational Linguistics (41st : 2003) DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics This paper describes a method for learning the countability preferences of English nouns from raw text corpora. The method maps the corpus-attested lexico-syntactic properties of each noun onto a feature vector, and uses a suite of memory-based classifiers to predict membership in 4 countability classes. We were able to assign countability to English nouns with a precision of 94.6%. Accepted version 2011-06-13T07:45:02Z 2019-12-06T18:20:34Z 2011-06-13T07:45:02Z 2019-12-06T18:20:34Z 2003 2003 Conference Paper Baldwin, T., & Bond, F. (2003). Learning the countability of English nouns from corpus data. Proceedings of 41st Annual Meeting of the Association for Computational Linguistics: ACL-2003, 463-470. https://hdl.handle.net/10356/92279 http://hdl.handle.net/10220/6825 10.3115/1075096.1075155 155550 en © 2003 ACL. This is the author created version of a work that has been peer reviewed and accepted for publication by Proceedings of 41st Annual Meeting of the Association for Computational Linguistics: ACL-2003, Association for Computational Linguistics. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [DOI: http://dx.doi.org/10.3115/1075096.1075155]. 8 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics
spellingShingle DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics
Baldwin, Timothy
Bond, Francis
Learning the countability of English nouns from corpus data
description This paper describes a method for learning the countability preferences of English nouns from raw text corpora. The method maps the corpus-attested lexico-syntactic properties of each noun onto a feature vector, and uses a suite of memory-based classifiers to predict membership in 4 countability classes. We were able to assign countability to English nouns with a precision of 94.6%.
author2 School of Humanities and Social Sciences
author_facet School of Humanities and Social Sciences
Baldwin, Timothy
Bond, Francis
format Conference or Workshop Item
author Baldwin, Timothy
Bond, Francis
author_sort Baldwin, Timothy
title Learning the countability of English nouns from corpus data
title_short Learning the countability of English nouns from corpus data
title_full Learning the countability of English nouns from corpus data
title_fullStr Learning the countability of English nouns from corpus data
title_full_unstemmed Learning the countability of English nouns from corpus data
title_sort learning the countability of english nouns from corpus data
publishDate 2011
url https://hdl.handle.net/10356/92279
http://hdl.handle.net/10220/6825
_version_ 1681035329821212672

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