Is a query worth translating: Ask the users!

Ahmed Hefny, Kareem Darwish, Ali Alkahky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Users in many regions of the world are multilingual and they issue similar queries in different languages. Given a source language query, we propose query picking which involves finding equivalent target language queries in a large query log. Query picking treats translation as a search problem, and can serve as a translation method in the context of cross-language and multilingual search. Further, given that users usually issue queries when they think they can find relevant content, the success of query picking can serve as a strong indicator to the projected success of cross-language and multilingual search. In this paper we describe a system that performs query picking and we show that picked queries yield results that are statistically indistinguishable from a monolingual baseline. Further, using query picking to predict the effectiveness of cross-language results can have statistically significant effect on the success of multilingual search with improvements over a monolingual baseline. Multilingual merging methods that do not account for the success of query picking can often hurt retrieval effectiveness.

Original languageEnglish
Title of host publicationAdvances in Information Retrieval - 33rd European Conference on IR Research, ECIR 2011, Proceedings
PublisherSpringer Verlag
Pages238-250
Number of pages13
ISBN (Print)9783642201608
Publication statusPublished - 1 Jan 2011
Externally publishedYes
Event33rd European Conference on Information Retrieval, ECIR 2011 - Dublin, Ireland
Duration: 18 Apr 201121 Apr 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6611 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other33rd European Conference on Information Retrieval, ECIR 2011
CountryIreland
CityDublin
Period18/4/1121/4/11

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Keywords

  • Cross-language search
  • Multilingual search
  • Query translation mining

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Hefny, A., Darwish, K., & Alkahky, A. (2011). Is a query worth translating: Ask the users! In Advances in Information Retrieval - 33rd European Conference on IR Research, ECIR 2011, Proceedings (pp. 238-250). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6611 LNCS). Springer Verlag.