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Supporting Arabic Cross-Lingual Retrieval Using Contextual Information

  • Farag Ahmed
  • Andreas Nürnberger
  • Marcus Nitsche
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6653)

Abstract

One of the main problems that impact the performance of cross-language information retrieval (CLIR) systems is how to disambiguate translations and - since this usually can not be done completely automatic - how to smoothly integrate a user in this disambiguation process. In order to ensure that a user has a certain confidence in selecting a translation she/he possibly can not even read or understand, we have to make sure that the system has provided sufficient information about translation alternatives and their meaning. In this paper, we present a CLIR tool that automatically translates the user query and provides possibilities to interactively select relevant terms using contextual information. This information is obtained from a parallel corpus to describe the translation in the user’s query language. Furthermore, a user study was conducted to identify weaknesses in both disambiguation algorithm and interface design. The outcome of this user study leads to a much clearer view of how and what CLIR should offer to users.

Keywords

cross lingual information retrieval word sense disambiguation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Farag Ahmed
    • 1
  • Andreas Nürnberger
    • 1
  • Marcus Nitsche
    • 1
  1. 1.Data & Knowledge Engineering Group Faculty of Computer ScienceOtto-von-Guericke-University of MagdeburgGermany

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