Chinese-Lao Bilingual Named Entity Alignment Research

Rui Han, Lanjiang Zhou, Feng Zhou, Jinpeng Zhang, L. Zhao, A. Xavior, J. Cai, L. You
2017 MATEC Web of Conferences  
Chinese-Lao bilingual NE alignment has a very important significance. Three entity alignment methods are proposed in this paper. Firstly, the paper proposes the similarity of bilingual entity fuzzy matching problem. Secondly, we use bilingual entity word sequence pattern similarity to propose Chinese entity model to match Lao entity method. Then we build a naive Bayes bilingual NE alignment model to align Chinese and Lao named entity in the comparable corpus, by mining knowledge information
more » ... s of Chinese entities. In the end, the rules combine the advantages of the three methods are proposed to achieve the best results.
doi:10.1051/matecconf/201710002052 fatcat:bs32fmcqyjgfnfw56hzitona2y