HAL : hal-00741099, version 1

DOI : 10.1007/978-3-642-28997-2_24

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34th European Conference on IR Research, ECIR 2012, Barcelone : Espagne (2012)

An Information-Based Cross-Language Information Retrieval Model

Bo Li 1, Éric Gaussier (  Auteur correspondant ) 1

(2012)

We present in this paper well-founded cross-language extensions of the recently introduced models in the information-based family for information retrieval, namely the LL (log-logistic) and SPL (smoothed power law) models of [4]. These extensions are based on (a) a generalization of the notion of information used in the information-based family, (b) a generalization of the random variables also used in this family, and (c) the direct expansion of query terms with their translations. We then review these extensions from a theoretical point-of-view, prior to assessing them experimentally. The results of the experimental comparisons between these extensions and existing CLIR systems, on three collections and three language pairs, reveal that the cross-language extension of the LL model provides a state-of-the-art CLIR system, yielding the best performance overall.

1 :	Laboratoire d'Informatique de Grenoble (LIG)
	Université Joseph Fourier - Grenoble I – Institut Polytechnique de Grenoble - Grenoble Institute of Technology – Université Pierre-Mendès-France - Grenoble II – CNRS : UMR5217

Équipe de recherche : AMA, MRIM AMA

Domaine

:

Informatique/Apprentissage Informatique/Intelligence artificielle Informatique/Recherche d'information

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Contributeur : Eric Gaussier <>

Soumis le : Jeudi 11 Octobre 2012, 16:52:36

Dernière modification le : Mardi 8 Janvier 2013, 14:29:42