{"title":"基于最小语言知识的汉语分词","authors":"Aitao Chen","doi":"10.3115/1119250.1119271","DOIUrl":null,"url":null,"abstract":"This paper presents a primarily data-driven Chinese word segmentation system and its performances on the closed track using two corpora at the first international Chinese word segmentation bakeoff. The system consists of a new words recognizer, a base segmentation algorithm, and procedures for combining single characters, suffixes, and checking segmentation consistencies.","PeriodicalId":262574,"journal":{"name":"J. Chin. Lang. Comput.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":"{\"title\":\"Chinese Word Segmentation Using Minimal Linguistic Knowledge\",\"authors\":\"Aitao Chen\",\"doi\":\"10.3115/1119250.1119271\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a primarily data-driven Chinese word segmentation system and its performances on the closed track using two corpora at the first international Chinese word segmentation bakeoff. The system consists of a new words recognizer, a base segmentation algorithm, and procedures for combining single characters, suffixes, and checking segmentation consistencies.\",\"PeriodicalId\":262574,\"journal\":{\"name\":\"J. Chin. Lang. Comput.\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"39\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"J. Chin. Lang. Comput.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3115/1119250.1119271\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Chin. Lang. Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3115/1119250.1119271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Chinese Word Segmentation Using Minimal Linguistic Knowledge
This paper presents a primarily data-driven Chinese word segmentation system and its performances on the closed track using two corpora at the first international Chinese word segmentation bakeoff. The system consists of a new words recognizer, a base segmentation algorithm, and procedures for combining single characters, suffixes, and checking segmentation consistencies.