Transitive probabilistic CLIR models (2004)
| Venue: | In Proceedings of RIAO 2004: Recherche d’Informations Assistee par Ordinateur |
| Citations: | 5 - 2 self |
BibTeX
@INPROCEEDINGS{Kraaij04transitiveprobabilistic,
author = {Wessel Kraaij and Franciska De Jong},
title = {Transitive probabilistic CLIR models},
booktitle = {In Proceedings of RIAO 2004: Recherche d’Informations Assistee par Ordinateur},
year = {2004}
}
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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. 1
