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An Information-Based Cross-Language Information Retrieval Model

Bo Li 1 Éric Gaussier 1, *
* Corresponding author
Abstract : 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.
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Contributor : Eric Gaussier <>
Submitted on : Thursday, October 11, 2012 - 4:52:36 PM
Last modification on : Friday, November 20, 2020 - 2:54:16 PM
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Bo Li, Éric Gaussier. An Information-Based Cross-Language Information Retrieval Model. 34th European Conference on IR Research, ECIR 2012, Apr 2012, Barcelone, Spain. pp.281-292, ⟨10.1007/978-3-642-28997-2_24⟩. ⟨hal-00741099⟩



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