Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/92279
Title: Learning the countability of English nouns from corpus data
Authors: Baldwin, Timothy
Bond, Francis
Keywords: DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics
Issue Date: 2003
Source: 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.
Abstract: 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%.
URI: https://hdl.handle.net/10356/92279
http://hdl.handle.net/10220/6825
DOI: 10.3115/1075096.1075155
Rights: © 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].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:HSS Conference Papers

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