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Chinese-English Semantic Resource Construction

dc.contributor.authorDorr, Bonnie J.en_US
dc.contributor.authorLevow, Gina-Anneen_US
dc.contributor.authorLin, Dekangen_US
dc.contributor.authorThomas, Scotten_US
dc.description.abstractWe 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 Alterations) [Levin, 1993], a Chinese conceptual database called HowNet [Zhendong, 1988c, Zhendong, 1988b] (, and a large machine-readable dictionary called Optilex. The resulting lexicon is used for determining appropriate word senses in applications such as machine translation and cross-language information retrieval. (Also cross-referenced as UMIACS-TR-2000-27) (Also cross-referenced as LAMP-TR-044)en_US
dc.format.extent103759 bytes
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-4146en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-2000-27en_US
dc.titleChinese-English Semantic Resource Constructionen_US
dc.typeTechnical Reporten_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US

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