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.
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Ahmed, F., Nürnberger, A., Nitsche, M. (2011). Supporting Arabic Cross-Lingual Retrieval Using Contextual Information. In: Hanbury, A., Rauber, A., de Vries, A.P. (eds) Multidisciplinary Information Retrieval. IRFC 2011. Lecture Notes in Computer Science, vol 6653. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21353-3_4
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DOI: https://doi.org/10.1007/978-3-642-21353-3_4
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