UniNE at CLEF 2008: TEL, and Persian IR

  • Authors:
  • Ljiljana Dolamic;Claire Fautsch;Jacques Savoy

  • Affiliations:
  • Computer Science Department, University of Neuchatel, Neuchatel, Switzerland;Computer Science Department, University of Neuchatel, Neuchatel, Switzerland;Computer Science Department, University of Neuchatel, Neuchatel, Switzerland

  • Venue:
  • CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
  • Year:
  • 2008

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Abstract

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.