Experiments on Statistical Approaches to Compensate for Limited Linguistic Resources

  • G. M. Di Nunzio
  • N. Ferro
  • N. Orio
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3491)

Abstract

Information Retrieval systems can benefit from advanced linguistic resources when carrying out tasks such as word-stemming or query translation. The main goal of our experiments has been the development of methodologies that minimize the human labor needed for creating linguistic resources for new languages. For this purpose, we have applied statistical techniques to extract information directly from the collections.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • G. M. Di Nunzio
    • 1
  • N. Ferro
    • 1
  • N. Orio
    • 1
  1. 1.Department of Information EngineeringUniversity of Padua 

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