Tibetan-Chinese Cross-language Topic Extraction and Alignment

被引：0
|
作者：
Sun, Yuan [1 ,2 ]
Zhao, Qian [1 ,2 ]
Yuan, Wolerrg [1 ,2 ]
机构：
[1] Minzu Univ China, Sch Informat Engn, Beijing 100081, Peoples R China
[2] Minzu Univ China, Natl Language Resource & Monitoring Res Ctr, Minor Languages Branch, Beijing 100081, Peoples R China
来源：
2018 INTERNATIONAL CONFERENCE ON BIG DATA AND ARTIFICIAL INTELLIGENCE (BDAI 2018) | 2018年
关键词：
Tibetan-Chinese; topic extraction; topic alignment;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Getting information about Tibetan topics in other languages is the basis and the most critical module of cross-language topic detection and tracking. This paper firstly extracts Tibetan-Chinese topics using LDA model, and then proposes a voting method based on cosine distance, Euclidean distance, Hellinger distance and KL distance to realize Tibetan-Chinese cross-language topic alignment. Finally, the experimental results prove that the method is effective.
引用
收藏
页码：67 / 71
页数：5
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