| Issue |
MATEC Web Conf.
Volume 100, 2017
13th Global Congress on Manufacturing and Management (GCMM 2016)
|
|
|---|---|---|
| Article Number | 02052 | |
| Number of page(s) | 5 | |
| Section | Part 2: Internet +, Big data and Flexible manufacturing | |
| DOI | https://doi.org/10.1051/matecconf/201710002052 | |
| Published online | 08 March 2017 | |
Chinese-Lao Bilingual Named Entity Alignment Research
1 Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
2 Key Laboratory of Intelligent Information Processing, Kunming University of Science and Technology, Kunming 650500, China
* Corresponding author: 915090822@qq.com
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 naïve Bayes bilingual NE alignment model to align Chinese and Lao named entity in the comparable corpus, by mining knowledge information words of Chinese entities. In the end, the rules combine the advantages of the three methods are proposed to achieve the best results.
Key words: Chinese / Lao / NE alignment / similarity / pattern matching / Naïve Bayes
© The Authors, published by EDP Sciences, 2017
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