SINAI at CLEF 2004: using machine translation resources with a mixed 2-step RSV merging algorithm

Authors:
Fernando Martínez-Santiago;Miguel A. García-Cumbreras;Manuel C. Díaz-Galiano;L. Alfonso Ureña
Affiliations:
Department of Computer Science, University of Jaén, Jaén, Spain;Department of Computer Science, University of Jaén, Jaén, Spain;Department of Computer Science, University of Jaén, Jaén, Spain;Department of Computer Science, University of Jaén, Jaén, Spain
Venue:
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Year:
2004

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Abstract

In CLEF 2004, the SINAI group participated in the multilingual task. Our main interest was to test Machine Translation (MT) with a mixed 2-step RSV merging algorithm. Since 2-step RSV requires grouping the document frequency for each term with the translations for that term, and MT translates whole phrases better than working word for word, it is not directly feasible to use MT with a 2-step RSV merging algorithm. To solve this problem, we have tested an algorithm which aligns the original query and its translation(s) at term level.