NTCIR-6 Experiments using Pattern Matched Translation Extraction
Dong Ming Zhou, Mark Truran, Tim Brailsford, Helen Ashman · 2007
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.