会议专题

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.

Yuan Sun Xiaodong Yan Xiaobing Zhao Guosheng Yang

School of Information Engineering, Minzu University of China Minority Languages Branch, National Lan School of Information Engineering, Minzu University of China

国际会议

The 6th International Conference on Natural Language Processing and Knowledge Engineering(第六届IEEE自然语言处理与知识工程国际会议 NLP-KE 2010)

北京

英文

1-5

2010-08-21(万方平台首次上网日期,不代表论文的发表时间)