Name
Abstract | ||
|---|---|---|
This paper describes our experiment methods and results in the Sixth NTCIR Workshop Meeting on Evalu- ation of Information Access Technologies. We introduce a Pattern Matched Translation Extraction (PMTE) ap- proach to the analysis of mixed-languages web pages, which makes use of pattern matching to automatically extract the translation pairs. The experiment results demonstrated the proposed method is effective when translating Out-of-Vocabulary (OOV) terms, a well- known problem in fields of cross-language information retrieval (CLIR), question-answering (QA), machine translation (MT) and knowledge discovery (KD). We also report the experiment results of single-language information retrieval (SLIR) and illustrate the perfor- mance through different collections in STAGE 2 of NTCIR-6. |
Year | Venue | Field |
|---|---|---|
2007 | NTCIR | Rule-based machine translation,Web page,Information retrieval,Computer science,Machine translation,Information access,Knowledge extraction,Pattern matching |
DocType | Citations | PageRank |
Conference | 7 | 0.60 |
References | Authors | |
13 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dong Zhou | 1 | 342 | 25.99 |
| Mark Truran | 2 | 286 | 14.43 |
| Tim Brailsford | 3 | 340 | 20.08 |
| Helen Ashman | 4 | 767 | 66.74 |