Translation techniques in cross-language information retrieval

Cross-language information retrieval (CLIR) is an active sub-domain of information retrieval (IR). Like IR, CLIR is centered on the search for documents and for information contained within those documents. Unlike IR, CLIR must reconcile queries and documents that are written in different languages....

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Bibliographic Details
Published in:ACM computing surveys 2012-11, Vol.45 (1), p.1-44
Main Authors: Zhou, Dong, Truran, Mark, Brailsford, Tim, Wade, Vincent, Ashman, Helen
Format: Article
Language:English
Subjects:
Communities
Information retrieval
Languages
Mathematical models
Studies
Translations
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Summary:Cross-language information retrieval (CLIR) is an active sub-domain of information retrieval (IR). Like IR, CLIR is centered on the search for documents and for information contained within those documents. Unlike IR, CLIR must reconcile queries and documents that are written in different languages. The usual solution to this mismatch involves translating the query and/or the documents before performing the search. Translation is therefore a pivotal activity for CLIR engines. Over the last 15 years, the CLIR community has developed a wide range of techniques and models supporting free text translation. This article presents an overview of those techniques, with a special emphasis on recent developments.
ISSN:0360-0300
1557-7341
DOI:10.1145/2379776.2379777