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Domain Adaptation for English–Korean MT System: From Patent Domain to IT Web News Domain

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Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy (ICCPOL 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5459))

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Abstract

This paper addresses a method to adapt an existing machine translation (MT) system for a newly targeted translation domain. Especially, we give detailed descriptions of customizing a patent specific English-Korean machine translation system for IT web news domain. The proposed method includes the followings: constructing a corpus from documents of IT web news domain, analyzing characteristics of IT web news sentences according to each viewpoint of MT system modules (tagger, parser, transfer) and translation knowledge, and adapting each MT system modules and translation knowledge considering characteristics of IT web news domain. To evaluate our domain adaptation method, we conducted a human evaluation and an automatic evaluation. The experiment showed promising results for diverse sentences extracted from IT Web News documents.

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References

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Authors and Affiliations

  1. Electronics and Telecommunications Research Institute, Natural Language Processing Team, 161 Gajeong-dong, Yuseong-gu, Daejeon, 305-350, Korea

    Ki-Young Lee, Sung-Kwon Choi, Oh-Woog Kwon, Yoon-Hyung Roh & Young-Gil Kim

Authors
  1. Ki-Young Lee
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  2. Sung-Kwon Choi
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  3. Oh-Woog Kwon
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  4. Yoon-Hyung Roh
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  5. Young-Gil Kim
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Editor information

Editors and Affiliations

  1. Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong

    Wenjie Li

  2. Division of Information and Communication Sciences, Macquarie University, NSW 2109, Sydney, Australia

    Diego Mollá-Aliod

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© 2009 Springer-Verlag Berlin Heidelberg

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Lee, KY., Choi, SK., Kwon, OW., Roh, YH., Kim, YG. (2009). Domain Adaptation for English–Korean MT System: From Patent Domain to IT Web News Domain. In: Li, W., Mollá-Aliod, D. (eds) Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy. ICCPOL 2009. Lecture Notes in Computer Science(), vol 5459. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00831-3_31

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  • DOI: https://doi.org/10.1007/978-3-642-00831-3_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00830-6

  • Online ISBN: 978-3-642-00831-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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