Chinese-Lao Bilingual Named Entity Alignment Research
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 Chines...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2017-01-01
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| Series: | MATEC Web of Conferences |
| Subjects: | |
| Online Access: | https://doi.org/10.1051/matecconf/201710002052 |
| _version_ | 1830136205823442944 |
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| author | Han Rui Zhou Lanjiang Zhou Feng Zhang Jinpeng |
| author_facet | Han Rui Zhou Lanjiang Zhou Feng Zhang Jinpeng |
| author_sort | Han Rui |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-17T07:47:07Z |
| format | Article |
| id | doaj.art-fc238e92646f414f8fe761430e2dd138 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-17T07:47:07Z |
| publishDate | 2017-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-fc238e92646f414f8fe761430e2dd1382022-12-21T21:57:58ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-011000205210.1051/matecconf/201710002052matecconf_gcmm2017_02052Chinese-Lao Bilingual Named Entity Alignment ResearchHan RuiZhou LanjiangZhou FengZhang JinpengChinese-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.https://doi.org/10.1051/matecconf/201710002052ChineseLaoNE alignmentsimilaritypattern matchingNaïve Bayes |
| spellingShingle | Han Rui Zhou Lanjiang Zhou Feng Zhang Jinpeng Chinese-Lao Bilingual Named Entity Alignment Research MATEC Web of Conferences Chinese Lao NE alignment similarity pattern matching Naïve Bayes |
| title | Chinese-Lao Bilingual Named Entity Alignment Research |
| title_full | Chinese-Lao Bilingual Named Entity Alignment Research |
| title_fullStr | Chinese-Lao Bilingual Named Entity Alignment Research |
| title_full_unstemmed | Chinese-Lao Bilingual Named Entity Alignment Research |
| title_short | Chinese-Lao Bilingual Named Entity Alignment Research |
| title_sort | chinese lao bilingual named entity alignment research |
| topic | Chinese Lao NE alignment similarity pattern matching Naïve Bayes |
| url | https://doi.org/10.1051/matecconf/201710002052 |
| work_keys_str_mv | AT hanrui chineselaobilingualnamedentityalignmentresearch AT zhoulanjiang chineselaobilingualnamedentityalignmentresearch AT zhoufeng chineselaobilingualnamedentityalignmentresearch AT zhangjinpeng chineselaobilingualnamedentityalignmentresearch |