Using the web for automated translation extraction in cross-language information retrieval

Zhang, Y and Vines, P 2004, 'Using the web for automated translation extraction in cross-language information retrieval', in K. Järvelin et al. (ed.) Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Sheffield, UK, 2004, pp. 162-169.


Document type: Conference Paper
Collection: Conference Papers

Title Using the web for automated translation extraction in cross-language information retrieval
Author(s) Zhang, Y
Vines, P
Year 2004
Conference name Conference on Research and Development in Information Retrieval
Conference location Sheffield, UK
Conference dates 2004
Proceedings title Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Editor(s) K. Järvelin et al.
Publisher ACM Press
Place of publication New York, USA
Start page 162
End page 169
Total pages 8
Abstract There have been significant advances in Cross-Language Information Retrieval (CLIR) in recent years. One of the major remaining reasons that CLIR does not perform as well as monolingual retrieval is the presence of out of vocabulary (OOV) terms. Previous work has either relied on manual intervention or has only been partially successful in solving this problem. We use a method that extends earlier work in this area by augmenting this with statistical analysis, and corpus-based translation disambiguation to dynamically discover translations of OOV terms. The method can be applied to both Chinese-English and English-Chinese CLIR, correctly extracting translations of OOV terms from the Web automatically, and thus is a significant improvement on earlier work.
Subjects Business Information Management (incl. Records, Knowledge and Information Management, and Intelligence)
Keyword(s) cross-language IR
OOV problem
query translation
Copyright notice Copyright 2004 ACM
ISBN 1-58113-881-4
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