| Autor: |
Han Rui, Zhou Lanjiang, Zhou Feng, Zhang Jinpeng |
| Jazyk: |
English<br />French |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
MATEC Web of Conferences, Vol 100, p 02052 (2017) |
| Druh dokumentu: |
article |
| ISSN: |
2261-236X |
| DOI: |
10.1051/matecconf/201710002052 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
