| LREC 2000 2nd International Conference on Language Resources & Evaluation | ||||||
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| Title | Chinese-English Semantic Resource Construction |
| Authors | Dorr Bonnie J. (Institute for Advanced Computer Studies, University of Maryland, bonnie@umiacs.umd.edu) Levow Gina-Anne (Institute for Advanced Computer Studies, University of Maryland, gina@umiacs.umd.edu) Lin Dekang (Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada, T6G 2H1, lindek@cs.ualberta.ca) Thomas Scott (Institute for Advanced Computer Studies, University of Maryland, scthmas@umiacs.umd.edu) |
| Keywords | Chinese-English Lexicons, Lexical Acquisition, Machine Translation, Semantic Resource Construction, Thematic Roles |
| Session | Session WO11 - Mono-Multilingual Lexicon Acquisition and Building |
| Full Paper | 327.ps, 327.pdf |
| 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. |