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Translation techniques in cross-language information retrieval

Open access
Zhou, Dong, Truran, Mark, Brailsford, Tim, Wade, Vincent, Ashman, Helen·2012·ACM Computing Surveys

Abstract

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.

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Metadata

Authors
Zhou, D., Truran, M., Brailsford, T., Wade, V., & Ashman, H.
Venue
ACM Computing Surveys
Published
2012-11
Volume
45
Issue
1
Pages
1-44
ISSN
  • 0360-0300 (ISSN-L)
  • 1557-7341
OpenAlex
W2149945051
Cited by
698
References
5
FWCI
125.81
Type
journal article
Language
en
Open access
green

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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