Yuan Sun, Xiaodong Yan, Xiaobing Zhao, Guosheng Yang
{"title":"基于多特征的藏文人名自动识别研究","authors":"Yuan Sun, Xiaodong Yan, Xiaobing Zhao, Guosheng Yang","doi":"10.1109/NLPKE.2010.5587820","DOIUrl":null,"url":null,"abstract":"Tibetan name has strong religious and cultural connotations, and the construction is different from Chinese name. So far, there is limited research on Tibetan name recognition, and current method for recognition of Chinese names does not work on Tibetan names. Therefore, through the analysis of Tibetan names characteristics, this paper proposes an automatic recognition method of Tibetan name based on multi-features. This method uses the internal features of names, contextual features and boundary features of names, and establishes the dictionary and feature base of Tibetan names. Finally, an experiment is conducted, and the results prove the algorithm is effective.","PeriodicalId":259975,"journal":{"name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","volume":"1148 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Research on automatic recognition of Tibetan personal names based on multi-features\",\"authors\":\"Yuan Sun, Xiaodong Yan, Xiaobing Zhao, Guosheng Yang\",\"doi\":\"10.1109/NLPKE.2010.5587820\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Tibetan name has strong religious and cultural connotations, and the construction is different from Chinese name. So far, there is limited research on Tibetan name recognition, and current method for recognition of Chinese names does not work on Tibetan names. Therefore, through the analysis of Tibetan names characteristics, this paper proposes an automatic recognition method of Tibetan name based on multi-features. This method uses the internal features of names, contextual features and boundary features of names, and establishes the dictionary and feature base of Tibetan names. Finally, an experiment is conducted, and the results prove the algorithm is effective.\",\"PeriodicalId\":259975,\"journal\":{\"name\":\"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)\",\"volume\":\"1148 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NLPKE.2010.5587820\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NLPKE.2010.5587820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on automatic recognition of Tibetan personal names based on multi-features
Tibetan name has strong religious and cultural connotations, and the construction is different from Chinese name. So far, there is limited research on Tibetan name recognition, and current method for recognition of Chinese names does not work on Tibetan names. Therefore, through the analysis of Tibetan names characteristics, this paper proposes an automatic recognition method of Tibetan name based on multi-features. This method uses the internal features of names, contextual features and boundary features of names, and establishes the dictionary and feature base of Tibetan names. Finally, an experiment is conducted, and the results prove the algorithm is effective.