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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

  1. Hutchins, J., Somers, H.: An Introduction to Machine Translation. Academic Press, London (1992)

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  4. Winiwarter, W.: Incremental learning of transfer rules for customized machine translation. In: Seipel, D., Hanus, M., Geske, U., Bartenstein, O. (eds.) INAP/WLP 2004. LNCS, vol. 3392, pp. 47–64. Springer, Heidelberg (2005)

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  5. Winiwarter, W.: PETRA – the personal embedded translation and reading assistant. In: Proc. of the InSTIL/ICALL 2004 Symposium on NLP and Speech Technologies in Advanced Language Learning Systems, Venice, Italy, pp. 111–114 (2004)

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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

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