A Possibilistic Query Translation Approach for Cross-Language Information Retrieval

  • Wiem Ben Romdhane
  • Bilel Elayeb
  • Ibrahim Bounhas
  • Fabrice Evrard
  • Narjès Bellamine Ben Saoud
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7996)


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.


Cross-Language Information Retrieval (CLIR) Query Translation Possibilistic Approach 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Wiem Ben Romdhane
    • 1
  • Bilel Elayeb
    • 1
    • 2
  • Ibrahim Bounhas
    • 3
  • Fabrice Evrard
    • 4
  • Narjès Bellamine Ben Saoud
    • 1
  1. 1.RIADI Research Laboratory, ENSIManouba UniversityTunisia
  2. 2.Emirates College of TechnologyAbu DhabiUnited Arab Emirates
  3. 3.LISI Lab. of computer science for industrial systems, ISDManouba UniversityTunisia
  4. 4.IRIT-ENSEEIHTToulouse Cedex 7France

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