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Paper Information

lrec2000-main-242

Chinese-English Semantic Resource Construction

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Title

Chinese-English Semantic Resource Construction

Abstract

We describe an approach to large-scale construction of a semantic lexicon for Chinese verbs. We leverage off of three existing resources— a classification of English verbs called EVCA (English Verbs Classes and Alternations) (Levin, 1993), a Chinese conceptual database called HowNet (Zhendong, 1988c; Zhendong, 1988b; Zhendong, 1988a) (http://www .how-net.com), and a large machine-readable dic-tionary called Optilex. The resulting lexicon is used for determining appropriate word senses in applications such as machine translation and cross-language information retrieval.


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