Abstract
This is an experiment in cross-lingual information retrieval for Indian languages, in a resource-poor situation. We use a simple grapheme-to-grapheme transliteration technique to transliterate parallel query-text between three morphologically similar Indian languages and compare the cross-lingual and mono-lingual performance. Where a state of the art system like the Google Translation tool performs roughly in the range of 60-90%, our transliteration technique achieves 20-60% of the mono-lingual performance. Though the figures are not impressive, we argue that in situations where linguistic resources are scarce, to the point of being non-existent, this can be a starting point of engineering retrieval effectiveness.
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Palchowdhury, S., Majumder, P. (2013). Simple Transliteration for CLIR. In: Majumder, P., Mitra, M., Bhattacharyya, P., Subramaniam, L.V., Contractor, D., Rosso, P. (eds) Multilingual Information Access in South Asian Languages. Lecture Notes in Computer Science, vol 7536. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40087-2_23
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DOI: https://doi.org/10.1007/978-3-642-40087-2_23
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