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Dynamic lexica for query translation
RISE, Swedish ICT, SICS.ORCID iD: 0000-0003-4042-4919
RISE - Research Institutes of Sweden, ICT, SICS.ORCID iD: 0000-0001-5100-0535
RISE, Swedish ICT, SICS.
2005 (English)In: Multilingual Information Access for Text, Speech and Images, Third Workshop of the Cross-Language Evaluation Forum (CLEF), 2005, 1Conference paper, Published paper (Refereed)
Abstract [en]

This experiment tests a simple, scalable, and effective approach to building a domain-specific translation lexicon using distributional statistics over parallellized bilingual corpora. A bilingual lexicon is extracted from aligned Swedish-French data, used to translate CLEF topics from Swedish to French, which resulting French queries are then in turn used to retrieve documents from the French language CLEF collection. The results give 34 of fifty queries on or above median for the ``precision at 1000 documents'' recall oriented score; with many of the errors possible to handle by the use of string-matching and cognate search. We conclude that the approach presented here is a simple and efficient component in an automatic query translation system.

Place, publisher, year, edition, pages
2005, 1.
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-22473OAI: oai:DiVA.org:ri-22473DiVA, id: diva2:1042038
Conference
Third Workshop of the Cross-Language Evaluation Forum (CLEF), September 2004, Bath, England
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2018-08-21Bibliographically approved

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Sahlgren, Magnus

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