SINAI at CLEF 2005: Multi-8 Two-Years-on and Multi-8 Merging-Only Tasks

  • Fernando Martínez-Santiago
  • Miguel A. García-Cumbreras
  • L. A. Ureña-López
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4022)


This year, we participated in multilingual two years on and Multi-8 merging-only CLEF tasks. Our main interest has been to test several standard CLIR techniques and investigate how they affect the final performance of the multilingual system. Specifically, we have evaluated the information retrieval (IR) model used to obtain each monolingual result, the merging algorithm, the translation approach and the application of query expansion techniques. The obtained results show that by means of improving merging algorithms and translation resources we reach better results than improving other CLIR modules such as IR engines or the expansion of queries.


Machine Translation Relevance Feedback Query Term Information Retrieval System Original Query 
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 2006

Authors and Affiliations

  • Fernando Martínez-Santiago
    • 1
  • Miguel A. García-Cumbreras
    • 1
  • L. A. Ureña-López
    • 1
  1. 1.Dpto. Computer ScienceUniversity of JaénSpain

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