Abstract
This report describes the work done for our participation in the multilingual track of the Cross-Language Evaluation Forum (CLEF). We use a dictionary-based approach to translate English queries into German, French and Italian queries. We then apply a term disambiguation technique to select the best translation terms from terms found in the dictionary entries, and a query expansion technique to enhance the queries. retrieval performance. We show that the word-formation characteristics of different languages affect the effectiveness of statistical techniques in dealing with the ambiguity problem.
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Adriani, M. (2001). Ambiguity Problem in Multiingual Information Retrieval. In: Peters, C. (eds) Cross-Language Information Retrieval and Evaluation. CLEF 2000. Lecture Notes in Computer Science, vol 2069. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44645-1_15
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DOI: https://doi.org/10.1007/3-540-44645-1_15
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