@article {13737,
	title = {Chinese-English Semantic Resource Construction},
	year = {2000},
	month = {2000/06//},
	institution = {Instititue for Advanced Computer Studies, Univ of Maryland, College Park},
	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), a Chinese conceptual database called HowNet, 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.},
	keywords = {*CHINESE LANGUAGE, *ENGLISH LANGUAGE, *LEXICONS, *SEMANTICS, *VERBS, *WORD SENSES, *WORDS(LANGUAGE), classification, CONCEPTS, CONSTRUCTION, Dictionaries, INFORMATION SCIENCE, linguistics, VERB CLASSES, Vocabulary},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA458703},
	author = {Dorr, Bonnie J and Levow,Gina-Anne and Lin,Dekang and Thomas,Scott}
}
