{"title":"The semantic Knowledge-base of Contemporary Chinese and Its Applications in WSD","authors":"Hui Wang, Shiwen Yu","doi":"10.3115/1119250.1119266","DOIUrl":null,"url":null,"abstract":"The Semantic Knowledge-base of Contemporary Chinese (SKCC) is a large scale Chinese semantic resource developed by the Institute of Computational Linguistics of Peking University. It provides a large amount of semantic information such as semantic hierarchy and collocation features for 66,539 Chinese words and their English counterparts. Its POS and semantic classification represent the latest progress in Chinese linguistics and language engineering. The descriptions of semantic attributes are fairly thorough, comprehensive and authoritative. The paper introduces the outline of SKCC, and indicates that it is effective for word sense disambiguation in MT applications and is likely to be important for general Chinese language processing.","PeriodicalId":403123,"journal":{"name":"Workshop on Chinese Language Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Chinese Language Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3115/1119250.1119266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
The Semantic Knowledge-base of Contemporary Chinese (SKCC) is a large scale Chinese semantic resource developed by the Institute of Computational Linguistics of Peking University. It provides a large amount of semantic information such as semantic hierarchy and collocation features for 66,539 Chinese words and their English counterparts. Its POS and semantic classification represent the latest progress in Chinese linguistics and language engineering. The descriptions of semantic attributes are fairly thorough, comprehensive and authoritative. The paper introduces the outline of SKCC, and indicates that it is effective for word sense disambiguation in MT applications and is likely to be important for general Chinese language processing.
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