UniNE at CLEF 2008: TEL, and Persian IR

  • Ljiljana Dolamic
  • Claire Fautsch
  • Jacques Savoy
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5706)


In our participation in this evaluation campaign, our first objective was to analyze retrieval effectiveness when using The European Library (TEL) corpora composed of very short descriptions (library catalog records) and also to evaluate the retrieval effectiveness of several IR models. As a second objective we wanted to design and evaluate a stopword list and a light stemming strategy for the Persian (Farsi), a member of the Indo-European family of languages and whose morphology is more complex than of the English language.


Language Model Retrieval Performance Query Expansion Mean Average Precision Query Formulation 
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 2009

Authors and Affiliations

  • Ljiljana Dolamic
    • 1
  • Claire Fautsch
    • 1
  • Jacques Savoy
    • 1
  1. 1.Computer Science DepartmentUniversity of NeuchatelNeuchatelSwitzerland

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