Abstract
The University of Chicago participated in the Cross-Language Evaluation Forum 2004 (CLEF2004) cross-language multilingual, bilingual, and spoken language tracks. Cross-language experiments focused on meeting the challenges of new languages with freely available resources. We found that modest effectiveness could be achieved with the additional application of pseudo-relevance feedback to overcome some gaps in impoverished lexical resources. Experiments with a new dimensionality reduction approach for re-ranking of retrieved results yielded no improvement, however. Finally, spoken document retrieval experiments aimed to meet the challenges of unknown story boundary conditions and noisy retrieval through query-based merger of fine-grained overlapping windows and pseudo-feedback query expansion to enhance retrieval.
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Levow, GA., Matveeva, I. (2005). University of Chicago at CLEF2004: Cross-Language Text and Spoken Document Retrieval. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds) Multilingual Information Access for Text, Speech and Images. CLEF 2004. Lecture Notes in Computer Science, vol 3491. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11519645_18
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DOI: https://doi.org/10.1007/11519645_18
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