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A Novel Rule Refinement Method for SMT through Simulated Post-Editing

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Natural Language Processing and Chinese Computing (NLPCC 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 496))

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Abstract

Post-editing has been successfully applied to correct the output of MT systems to generate better translation, but as a downstream task its positive feedback to MT has not been well studied. In this paper, we present a novel rule refinement method which uses Simulated Post-Editing (SiPE) to capture the errors made by the MT systems and generates refined translation rules. Our method is system-independent and doesn’t entail any additional resources. Experimental results on large-scale data show a significant improvement over both phrase-based and syntax-based baselines.

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Author information

Authors and Affiliations

  1. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, China

    Sitong Yang, Heng Yu & Qun Liu

  2. University of Chinese Academy of Sciences, China

    Sitong Yang

  3. CNGL, School of Computing, Dublin City University, Republic of Ireland

    Qun Liu

Authors
  1. Sitong Yang
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  2. Heng Yu
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  3. Qun Liu
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Editor information

Editors and Affiliations

  1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China

    Chengqing Zong

  2. Dept. of Computer Science and Operations Research, University of Montreal, Montreal, Quebec, Canada

    Jian-Yun Nie

  3. Peking University, Beijing, China

    Dongyan Zhao

  4. Institute of Computer Science & Technology, Peking University, 100871, Beijing, China

    Yansong Feng

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© 2014 Springer-Verlag Berlin Heidelberg

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Yang, S., Yu, H., Liu, Q. (2014). A Novel Rule Refinement Method for SMT through Simulated Post-Editing. In: Zong, C., Nie, JY., Zhao, D., Feng, Y. (eds) Natural Language Processing and Chinese Computing. NLPCC 2014. Communications in Computer and Information Science, vol 496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45924-9_11

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  • DOI: https://doi.org/10.1007/978-3-662-45924-9_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45923-2

  • Online ISBN: 978-3-662-45924-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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