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ITC-irst at CLEF 2003: Monolingual, Bilingual, and Multilingual Information Retrieval

  • Nicola Bertoldi
  • Marcello Federico
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3237)

Abstract

This paper reports on the participation of ITC-irst in the 2003 campaign of the Cross Language Evaluation Forum for the monolingual, bilingual, and small multilingual tasks. The languages considered were English, French, German, Italian, and Spanish. With respect to the ITC-irst system presented at CLEF 2002, the statistical models for bilingual document retrieval have been improved, more languages have been considered, and a novel multilingual information retrieval system has been developed, which combines several bilingual retrieval models into a statistical framework. As in the last CLEF, bilingual models integrate retrieval and translation scores over the set of N-best translations of the source query.

Keywords

Target Language Retrieval Performance Source Language Bilingual Dictionary Compound Noun 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Nicola Bertoldi
    • 1
  • Marcello Federico
    • 1
  1. 1.ITC-irst – Centro per la Ricerca Scientifica e TecnologicaPovo, TrentoItaly

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