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| Format: | Artículo científico |
| Language: | en |
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Asociación Española para la Inteligencia Artificial
2004
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| Online Access: | https://www.redalyc.org/articulo.oa?id=92582208 |
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Table of Contents:
- SINAI experience at CLEF Fernando Martínez L. Alfonso Ureña M. Teresa Martín Ingeniería gies word Cross Multi trieval This paper reports our work on CLEF and Cross-Language Information Retrieval using CLEF re-sources. We aim to construct a highly language-independent CLIR model. To accomplish this ob-jective, several problems must be overcome: texttranslation or pseudo-translation and merging theobtained results for each language for a givenquery. Three issues of text-translation are inves-tigated: the impact of translation probabilities,automatic multi-word recognition, and the gen-eration of similarity thesauri from a Web corpus.Because the proposed model is query-translationdriven, it is necessary to merge several monolin-gual results in a unique multilingual list of docu-ments. To accomplish this task, we propose a newapproach, which we call 2-step RSV, and we showthat it performs better than more traditional ap-proaches 2004 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92582208 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.22 Vol.8