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Automatic Acquisition of Transfer Rules from Translation Examples

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Advances in Natural Language Processing (EsTAL 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3230))

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Abstract

In our research, we have developed a transfer-based machine translation architecture for the translation from Japanese into German. One main feature of the system is the fully automatic acquisition of transfer rules from translation examples by using structural matching between the parsing trees. The translation system has been implemented as part of a language learning environment with the aim to provide personalized translations for the students. In this paper we present our formalism to represent syntactic and transfer knowledge, and explain the various steps involved in acquiring and applying transfer rules.

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References

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Authors and Affiliations

  1. Faculty of Computer Science, University of Vienna, Liebiggasse 4, A-1010, Vienna, Austria

    Werner Winiwarter

Authors
  1. Werner Winiwarter
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Editors and Affiliations

  1. Department of Software and Computing Systems, University of Alicante, Spain

    José Luis Vicedo

  2. Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Spain

    Patricio Martínez-Barco

  3. Grupo de investigación del Procesamiento del Lenguaje y Sistemas de Información, Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Alicante, Spain

    Rafael Muńoz

  4. Departamento de Lenguajes y Sistemas Informáticos, Carretera de San Vicente del Raspeig, Universidad de Alicante, 03690 San Vicente del Raspeig, Alicante, Spain

    Maximiliano Saiz Noeda

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© 2004 Springer-Verlag Berlin Heidelberg

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Winiwarter, W. (2004). Automatic Acquisition of Transfer Rules from Translation Examples. In: Vicedo, J.L., Martínez-Barco, P., Muńoz, R., Saiz Noeda, M. (eds) Advances in Natural Language Processing. EsTAL 2004. Lecture Notes in Computer Science(), vol 3230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30228-5_2

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  • DOI: https://doi.org/10.1007/978-3-540-30228-5_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23498-2

  • Online ISBN: 978-3-540-30228-5

  • eBook Packages: Springer Book Archive

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