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Phrase-Level Pattern-Based Machine Translation Based on Analogical Mapping Method

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7614))

Abstract

To overcome the conventional method based on Compositional Semantics, the Analogical Mapping Method was developed. Implementing this method requires a translation method based on sentence patterns. Although a word-level pattern-based translation system already exists in Japanese-English machine translation, this paper describes the new phrase-level pattern-based translation system. The results of translation experiments show that the quality of phrase translation is still low. However, these problems are to be resolved in our future work.

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References

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© 2012 Springer-Verlag Berlin Heidelberg

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Sakata, J., Tokuhisa, M., Murakami, J. (2012). Phrase-Level Pattern-Based Machine Translation Based on Analogical Mapping Method. In: Isahara, H., Kanzaki, K. (eds) Advances in Natural Language Processing. JapTAL 2012. Lecture Notes in Computer Science(), vol 7614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33983-7_4

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  • DOI: https://doi.org/10.1007/978-3-642-33983-7_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33982-0

  • Online ISBN: 978-3-642-33983-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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