Crosslanguage Retrieval Based on Wikipedia Statistics

  • Andreas Juffinger
  • Roman Kern
  • Michael Granitzer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5706)


In this paper we present the methodology, implementations and evaluation results of the crosslanguage retrieval system we have developed for the Robust WSD Task at CLEF 2008. Our system is based on query preprocessing for translation and homogenisation of queries. The presented preprocessing of queries includes two stages: Firstly, a query translation step based on term statistics of cooccuring articles in Wikipedia. Secondly, different disjunct query composition techniques to search in the CLEF corpus. We apply the same preprocessing steps for the monolingual as well as the crosslingual task and thereby acting fair and in a similar way across these tasks. The evaluation revealed that the similar processing comes at nearly no costs for monolingual retrieval but enables us to do crosslanguage retrieval and also a feasible comparison of our system performance on these two tasks.


Query Processing Query Term Word Sense Disambiguation Query Translation Boolean 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 2009

Authors and Affiliations

  • Andreas Juffinger
    • 1
  • Roman Kern
    • 1
  • Michael Granitzer
    • 1
  1. 1.Know-Center, GrazAustria

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