Abstract
This UC Berkeley project experimented with English and German topics for bilingual retrieval from the CLEF Russian news collection with comparison to Russian → Russian monolingual retrieval. In CLEF 2004 we also experimented with Chinese and Japanese as topic languages, using English as the ‘pivot’ language. For bilingual retrieval our approaches were query translation (for English as a topic language) and ‘fast’ document translation from Russian to English (for Chinese and Japanese translated to English as the topic language). Chinese and Japanese topic retrieval significantly underperformed English → Russian retrieval because of the ‘double translation’ loss of effectiveness.
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Gey, F.C. (2005). Searching a Russian Document Collection Using English, Chinese and Japanese Queries. 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_21
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DOI: https://doi.org/10.1007/11519645_21
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