Improving cross language information retrieval using corpus based query suggestion approach

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dc.contributor.authorPrasath, Rajendra
dc.contributor.authorSarkar, Sudeshna
dc.contributor.authorO'Reilly, Philip
dc.contributor.editorGelbukh, Alexander
dc.date.accessioned2016-09-20T10:39:36Z
dc.date.available2016-09-20T10:39:36Z
dc.date.issued2015-04
dc.date.updated2015-04-06T19:24:50Z
dc.description.abstractUsers seeking information may not find relevant information pertaining to their information need in a specific language. But information may be available in a language different from their own, but users may not know that language. Thus users may experience difficulty in accessing the information present in different languages. Since the retrieval process depends on the translation of the user query, there are many issues in getting the right translation of the user query. For a pair of languages chosen by a user, resources, like incomplete dictionary, inaccurate machine translation system may exist. These resources may be insufficient to map the query terms in one language to its equivalent terms in another language. Also for a given query, there might exist multiple correct translations. The underlying corpus evidence may suggest a clue to select a probable set of translations that could eventually perform a better information retrieval. In this paper, we present a cross language information retrieval approach to effectively retrieve information present in a language other than the language of the user query using the corpus driven query suggestion approach. The idea is to utilize the corpus based evidence of one language to improve the retrieval and re-ranking of news documents in the other language. We use FIRE corpora - Tamil and English news collections in our experiments and illustrate the effectiveness of the proposed cross language information retrieval approach.en
dc.description.sponsorshipR14903en
dc.description.statusPeer revieweden
dc.description.urihttp://www.cicling.org/2015/en
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationPrasath, R., Sarkar, S. and O'Reilly, P. (2015) 'Improving cross language information retrieval using corpus based query suggestion approach', in Gelbukh, A. (ed.) CICLing 2015, Part II, Lecture Notes in Computer Science, 9042, pp. 448–457. doi: 10.1007/978-3-319-18117-2_33en
dc.identifier.doi10.1007/978-3-319-18117-2_33
dc.identifier.endpage457en
dc.identifier.journaltitleLecture Notes in Computer Scienceen
dc.identifier.startpage448en
dc.identifier.urihttps://hdl.handle.net/10468/3100
dc.identifier.volume9042en
dc.language.isoenen
dc.publisherSpringer International Publishingen
dc.relation.ispartofCICLing 2015, Part II, Lecture Notes in Computer Science, vol. 9042
dc.rights© 2015, Springer International Publishing, Switzerland. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-18117-2_33en
dc.subjectQuery suggestionen
dc.subjectCorpus statisticsen
dc.subjectRetrieval efficiencyen
dc.subjectCross-lingual document retrievalen
dc.titleImproving cross language information retrieval using corpus based query suggestion approachen
dc.typeConference itemen
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