Name
Abstract | ||
|---|---|---|
The existing approaches to automatic term recognition include these types: dictionary-based, rule-based, statistical, etc. First, we discuss the dictionary-based methods briefly in this paper. Then we propose an approach for Chinese single word term extraction combining the dictionary-based method with seed knowledge-based method. Our method is based on two resources. One is the Chinese Concept Dictionary which is a general bilingual semantic lexicon and the other one is the bilingual seeds set extracted from a bilingual glossary of HK law. The approach is to recognize the legal domain-specific term. Our approach is applying general semantic lexicon for domain-specific term extraction. The experimental results show that our approach can get high precision in legal field. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICNC.2007.667 | ICNC |
Keywords | Field | DocType |
bilingual seed,domain-specific term extraction,dictionary-based method,chinese single word term,bilingual semantic lexicon-based approach,bilingual glossary,single word term extraction,seed knowledge-based method,automatic term recognition,general bilingual semantic lexicon,existing approach,legal domain-specific term,dictionaries,rule based,text analysis,knowledge base,natural language processing | Automatic term recognition,Terminology,Computer science,Semantic lexicon,Artificial intelligence,Natural language processing,Glossary,Word processing | Conference |
Volume | ISSN | ISBN |
5 | 2157-9555 | 0-7695-2875-9 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongying Zan | 1 | 15 | 19.05 |
| Guocheng Duan | 2 | 0 | 0.34 |
| Ming Fan | 3 | 0 | 0.34 |