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| Natura: | Artículo científico |
| Lingua: | en |
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Asociación Española para la Inteligencia Artificial
2004
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| Accesso online: | https://www.redalyc.org/articulo.oa?id=92582208 |
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| _version_ | 1866815730191695872 |
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| author | Fernando Martínez |
| author_facet | Fernando Martínez |
| 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 |
| format | Artículo científico |
| id | redalyc_92582208 |
| language | en |
| publishDate | 2004 |
| publisher | Asociación Española para la Inteligencia Artificial |
| spellingShingle | SINAI experience at CLEF Fernando Martínez Ingeniería gies word Cross Multi trieval 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 |
| title | SINAI experience at CLEF |
| topic | Ingeniería gies word Cross Multi trieval |
| url | https://www.redalyc.org/articulo.oa?id=92582208 |