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.
| Original language | Undefined |
|---|---|
| Title of host publication | Proceedings of the 7th International RIAO Conference (Recherche d'Information Assistée par Ordinateur) |
| Place of Publication | Paris, France |
| Publisher | Centre de Hautes Etudes Internationales d'Informatique Documentaire (CID) |
| Pages | 69-81 |
| Number of pages | 13 |
| ISBN (Print) | 2 905450-09-6 |
| Publication status | Published - 2004 |
| Event | 7th International Conference on Computer-Assisted Information Retrieval, RIAO 2004: (Recherche d'Information et ses Applications) - Avignon, France Duration: 1 Apr 2004 → 1 Apr 2004 Conference number: 7 |
Publication series
| Name | |
|---|---|
| Publisher | Centre de hautes etudes internationales (CID) |
Conference
| Conference | 7th International Conference on Computer-Assisted Information Retrieval, RIAO 2004 |
|---|---|
| Abbreviated title | RIAO |
| Country | France |
| City | Avignon |
| Period | 1/04/04 → 1/04/04 |
Keywords
- EWI-6775
- IR-66328
- METIS-221281
Cite this
Kraaij, W., & de Jong, F. M. G. (2004). Transitive probabilistic CLIR models. In Proceedings of the 7th International RIAO Conference (Recherche d'Information Assistée par Ordinateur) (pp. 69-81). Paris, France: Centre de Hautes Etudes Internationales d'Informatique Documentaire (CID).