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Marker-Based Chunking in Eleven European Languages for Analogy-Based Translation

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Book cover Human Language Technology Challenges for Computer Science and Linguistics (LTC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8387))

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Abstract

An example-based machine translation (EBMT) system based on proportional analogies requires numerous proportional analogies between linguistic units to work properly. Consequently, long sentences cannot be handled directly in such a framework. Cutting sentences into chunks would be a solution. Using different markers, we count the number of proportional analogies between chunks in 11 European languages. As expected, the number of proportional analogies between chunks found is very high. These results, and preliminary experiments in translation, are promising for the EBMT system that we intend to build.

This paper is part of the outcome of research performed under a Waseda University Grant for Special Research Project (project number: 2010A-906).

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Authors and Affiliations

  1. IPS, Waseda University, Hibikino 2-7, Kitakyushu, Fukuoka, 808-0135, Japan

    Kota Takeya & Yves Lepage

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  1. Kota Takeya
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  2. Yves Lepage
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Correspondence to Yves Lepage .

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Editors and Affiliations

  1. Adam Mickiewicz University, Poznań, Poland

    Zygmunt Vetulani

  2. IMMI-CNRS, Orsay, France

    Joseph Mariani

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Takeya, K., Lepage, Y. (2014). Marker-Based Chunking in Eleven European Languages for Analogy-Based Translation. In: Vetulani, Z., Mariani, J. (eds) Human Language Technology Challenges for Computer Science and Linguistics. LTC 2011. Lecture Notes in Computer Science(), vol 8387. Springer, Cham. https://doi.org/10.1007/978-3-319-08958-4_35

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  • DOI: https://doi.org/10.1007/978-3-319-08958-4_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08957-7

  • Online ISBN: 978-3-319-08958-4

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