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Cross-Lingual Question Answering Using Off-the-Shelf Machine Translation

  • Conference paper
Multilingual Information Access for Text, Speech and Images (CLEF 2004)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3491))

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Abstract

We show how to adapt an existing monolingual open-domain QA system to perform in a cross-lingual environment, using off-the-shelf machine translation software. In our experiments we use French and German as source language, and English as target language. For answering factoid questions, our system performs with an accuracy of 16% (German to English) and 20% (French to English), respectively. The loss of correctly answered questions caused by the MT component is estimated at 10% for French, and 15% for German. The accuracy of our system on correctly translated questions is 28% for German and 29% for French.

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© 2005 Springer-Verlag Berlin Heidelberg

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Ahn, K., Alex, B., Bos, J., Dalmas, T., Leidner, J.L., Smillie, M.B. (2005). Cross-Lingual Question Answering Using Off-the-Shelf Machine Translation. 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_44

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  • DOI: https://doi.org/10.1007/11519645_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27420-9

  • Online ISBN: 978-3-540-32051-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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