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Monolingual, Bilingual, and GIRT Information Retrieval at CLEF-2005
Auteur(s)
Editeur(s)
Berger, Pierre-Yves
Date de parution
2006
In
Lecture Notes in Computer Science, Springer, 2006/4022//131-140
Résumé
For our fifth participation in the CLEF evaluation campaigns, our first objective was to propose an effective and general stopword list as well as a light stemming procedure for the Hungarian, Bulgarian and Portuguese (Brazilian) languages. Our second objective was to obtain a better picture of the relative merit of various search engines when processing documents in those languages. To do so we evaluated our scheme using two probabilistic models and five vector-processing approaches. In the bilingual track, we evaluated both the machine translation and bilingual dictionary approaches applied to automatically translate a query submitted in English into various target languages. Finally, using the GIRT corpora (available in English, German and Russian), we investigated the variations in retrieval effectiveness that resulted when we included or excluded manually assigned keywords attached to the bibliographic records (mainly comprising a title and an abstract).
Autre version
http://dx.doi.org/10.1007/11878773_14
Type de publication
Resource Types::text::journal::journal article
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