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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%.
Journal
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- Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - ACL '03
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Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - ACL '03 1 463-470, 2003-01-01
Association for Computational Linguistics (ACL)
