Translation techniques in cross-language information retrieval
Hunan University of Science and Technology · Teesside University · +3 more institutions
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.
Citation impact
- FWCI
- 63.65
- Percentile
- 100%
- References
- 215
Authors
5Topics & keywords
- Computer science
- Cross-language information retrieval
- Information retrieval
- Query expansion
- Natural language processing
- Translation (biology)
- Domain (mathematical analysis)
- Machine translation
- Quality Education