Transitive probabilistic CLIR models.


Share/Save/Bookmark

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

[img]
Preview
PDF
75Kb
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
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/66328
Official URL:http://www.riao.org/sites/RIAO-2004/Proceedings-2004/
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page