{"title":"基于上下文信息的韩国语词性标注","authors":"Young-Min An, Hee-Dong Lim, Young-Hoon Seo","doi":"10.1109/ISIE.2001.931809","DOIUrl":null,"url":null,"abstract":"This paper describes a part-of-speech tagging system using both rules and statistical information based on context information between an ambiguous word and words around it to resolve lexical ambiguities. The rules and statistical information are composed of POS tag and/or morpheme for an ambiguous word, and POS tags and/or morphemes for words around it. The system apply rules first, and then applies statistical information when the ambiguities have not been resolved. Experimental results shows that our POS tagging system has high-accuracy and broad coverage.","PeriodicalId":124749,"journal":{"name":"ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Korean part-of-speech tagging based on context information\",\"authors\":\"Young-Min An, Hee-Dong Lim, Young-Hoon Seo\",\"doi\":\"10.1109/ISIE.2001.931809\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a part-of-speech tagging system using both rules and statistical information based on context information between an ambiguous word and words around it to resolve lexical ambiguities. The rules and statistical information are composed of POS tag and/or morpheme for an ambiguous word, and POS tags and/or morphemes for words around it. The system apply rules first, and then applies statistical information when the ambiguities have not been resolved. Experimental results shows that our POS tagging system has high-accuracy and broad coverage.\",\"PeriodicalId\":124749,\"journal\":{\"name\":\"ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIE.2001.931809\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIE.2001.931809","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Korean part-of-speech tagging based on context information
This paper describes a part-of-speech tagging system using both rules and statistical information based on context information between an ambiguous word and words around it to resolve lexical ambiguities. The rules and statistical information are composed of POS tag and/or morpheme for an ambiguous word, and POS tags and/or morphemes for words around it. The system apply rules first, and then applies statistical information when the ambiguities have not been resolved. Experimental results shows that our POS tagging system has high-accuracy and broad coverage.