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Reusing an ontology to generate numeral classifiers.

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Reusing an ontology to generate numeral classifiers.

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Title: Reusing an ontology to generate numeral classifiers.
Author: Bond, Francis.; Paik, Kyonghee.
Copyright year: 2000
Abstract: In this paper, we present a solution to the problem of generating Japanese numeral classifiers using semantic classes from an ontology. Most nouns must take a numeral classifier when they are quantified in languages such as Chinese, Japanese, Korean, Malay and Thai. In order to select an appropriate classifier, we propose an algorithm which associates classifiers with semantic classes and uses inheritance to list only those classifiers which have to be listed. It generates sortal classifiers with an accuracy of 81%. We reuse the ontology provided by Goi-Taikei — a Japanese lexicon, and show that it is a reasonable choice for this task, requiring information to be entered for less than 6% of individual nouns.
Subject: DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics.
Type: Conference Paper
Conference name: International Conference on Computational Linguistics (18th : 2000 : Saarbrücken, Germany)
School: School of Humanities and Social Sciences
Rights: © 2000 ACL. This is the author created version of a work that has been peer reviewed and accepted for publication by Proceedings of 18th International Conference on Computational Linguistics: COLING-2000, 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/10.3115/990820.990834].
Version: Accepted version

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