Transitive probabilistic CLIR models.


Kraaij, W. and Jong, F.M.G. de (2004) Transitive probabilistic CLIR models. In: Proceedings of the 7th International RIAO Conference (Recherche d'Information Assistée par Ordinateur), April, 2004, Avignon, France (pp. pp. 69-81).

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Abstract:Transitive translation could be a useful technique to enlarge the number of supported language pairs for a cross-language information retrieval (CLIR) system in a cost-effective manner. The paper describes several setups for transitive translation based on probabilistic translation models. The transitive CLIR models were evaluated on the CLEF test collection and yielded a retrieval effectiveness
up to 83% of monolingual performance, which is significantly better than a baseline using the synonym operator.
Item Type:Conference or Workshop Item
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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