Name
Abstract | ||
|---|---|---|
In this paper, we describe three-stage pattern matching approach and an effective pattern construction process in the Korean-Chinese Machine Translation System for technical documents. We automatically extracted about 100,000 default verb patterns and about 10,000 default ordering patterns from the existing patterns. With the new three-stage approach, additionally using default verb and ordering patterns, the matching hit rate increases 3.8% , comparing with one-stage approach. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-00831-3_30 | ICCPOL |
Keywords | Field | DocType |
three-stage verb pattern matching,korean-chinese machine translation system,new three-stage approach,default verb pattern,default verb,effective pattern construction process,matching hit rate increase,three-stage pattern,technical document,existing pattern,one-stage approach,pattern matching,machine translation | Hit rate,Rule-based machine translation,Example-based machine translation,Computer science,Machine translation,Artificial intelligence,Natural language processing,Verb,Pattern recognition,Technical documentation,Speech recognition,Transfer-based machine translation,Pattern matching | Conference |
Volume | ISSN | Citations |
5459 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chang Hao Yin | 1 | 0 | 0.34 |
| Young Ae Seo | 2 | 8 | 3.88 |
| Young-Gil Kim | 3 | 26 | 5.90 |