Translation techniques in cross-language information retrieval

Zhou, Dong; Truran, Mark; Brailsford, Tim; Wade, Vincent; Ashman, Helen

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. © 2012 ACM.

• Journal Article Type: Review
• Acceptance Date: Jun 1, 2011
• Publication Date: Nov 1, 2012
• Deposit Date: Aug 14, 2018
• Journal: ACM Computing Surveys
• Print ISSN: 0360-0300
• Electronic ISSN: 1557-7341
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Volume: 45
• Issue: 1
• Pages: 1-44
• DOI: https://doi.org/10.1145/2379776.2379777
• Keywords: cross-language information retrieval, query translation, document translation, bilingual dictionary, parallel corpora, machine translation, semantic model
• Public URL: https://uwe-repository.worktribe.com/output/942263
• Publisher URL: http://dx.doi.org/10.1145/2379776.2379777
• Contract Date: Aug 14, 2018