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A Possibilistic Query Translation Approach for Cross-Language Information Retrieval

Abstract : In this paper, we explore several statistical methods to find solutions to the problem of query translation ambiguity. Indeed, we propose and compare a new possibilistic approach for query translation derived from a probabilistic one, by applying a classical probability-possibility transformation of probability distributions, which introduces a certain tolerance in the selection of word translations. Finally, the best words are selected based on a similarity measure. The experiments are performed on CLEF-2003 French-English CLIR collection, which allowed us to test the effectiveness of the possibilistic approach.
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Submitted on : Friday, November 13, 2015 - 4:12:42 PM
Last modification on : Sunday, June 14, 2020 - 3:28:32 AM
Long-term archiving on: : Sunday, February 14, 2016 - 2:00:14 PM


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  • HAL Id : hal-01228727, version 1
  • OATAO : 12652


Ben Romdhane Wiem, Bilel Elayeb, Ibrahim Bounhas, Fabrice Evrard, Narjes Bellamine-Bensaoud. A Possibilistic Query Translation Approach for Cross-Language Information Retrieval. 9th International Conference on Intelligent Computing (ICIC 2013), Jul 2013, Nanning, China. pp. 73-82. ⟨hal-01228727⟩



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