Improving recall for hindi, Telugu, Oromo to english CLIR

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Abstract

This paper presents the Cross Language Information Retrieval (CLIR) experiments of the Language Technologies Research Centre (LTRC, IIIT-Hyderabad) as part of our participation in the ad-hoc track of CLEF 2007. We present approaches to improve recall of query translation by handling morphological and spelling variations in source language keywords. We also present experiments using query expansion in CLIR using a source language monolingual corpus for Hindi, Telugu and English. We also present the effect of using an Oromo stemmer in Oromo-English CLIR system and report results using the CLEF 2007 dataset. © 2008 Springer-Verlag Berlin Heidelberg.

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Pingali, P., Tune, K. K., & Varma, V. (2008). Improving recall for hindi, Telugu, Oromo to english CLIR. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5152 LNCS, pp. 103–110). Springer Verlag. https://doi.org/10.1007/978-3-540-85760-0_13

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