A combined statistical query term disambiguation in cross-language information retrieval

The diversity of information sources and the explosive growth of the Internet worldwide are compelling evidence of a need for information retrieval that can cross language boundaries. Ambiguity from failure to translate queries is one of the major causes for large drops in effectiveness below monoli...

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Bibliographic Details
Main Authors: Sadat, F., Maeda, A., Yoshikawa, M., Uemura, S.
Format: Conference Proceeding
Language:English
Subjects:
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Computer science
Dictionaries
Electronic mail
Explosives
Informatics
Information retrieval
Information science
Internet
Testing
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Summary:The diversity of information sources and the explosive growth of the Internet worldwide are compelling evidence of a need for information retrieval that can cross language boundaries. Ambiguity from failure to translate queries is one of the major causes for large drops in effectiveness below monolingual performance, for the dictionary-based method in Cross-Language Information Retrieval. In this paper, we focus on the query translation and disambiguation, to improve the effectiveness of an information retrieval and to dramatically reduce errors such an approach normally makes. A combined statistical disambiguation method both before and after translation is proposed, to avoid the problem of wrong selection of target translations. We tested the effectiveness of the proposed disambiguation method, by an application to French-English Information Retrieval. Evaluations using TREC data collection proved a great effectiveness of the proposed disambiguation method.
ISSN:1529-4188
2378-3915
DOI:10.1109/DEXA.2002.1045907