Abstract
This paper describes monolingual, bilingual, and multilingual retrieval experiments using CLEF 2002 test collection. The paper presents a technique for incorporating blind relevance feedback into a document ranking formula based on logistic regression analysis. Both blind relevance feedback and decompounding in German or Dutch are shown to be effective in monolingual and bilingual retrieval. The amount of improvement of performance by decompounding varies from one set of topics to another. The simple raw-score merging strategy in multilingual retrieval can be effective if the individual ranked lists of documents, one for each document language, are produced using the same retrieval system under similar conditions. The performance of English to French bilingual retrieval using a large parallel corpus as the translation resource is comparable to that using machine translation systems.
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References
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Chen, A. (2003). Cross-Language Retrieval Experiments at CLEF 2002. In: Peters, C., Braschler, M., Gonzalo, J., Kluck, M. (eds) Advances in Cross-Language Information Retrieval. CLEF 2002. Lecture Notes in Computer Science, vol 2785. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45237-9_3
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DOI: https://doi.org/10.1007/978-3-540-45237-9_3
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