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Translation Model of Myanmar Phrases for Statistical Machine Translation

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Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence (ICIC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6839))

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Abstract

In this paper, we present a translation model which uses syntactic structure and morphology of Myanmar language to improve Myanmar to English machine translation system. This system is implemented as a subsystem of Myanmar to English translation system and based on statistical approach by using Myanmar-English Bilingual corpus. It also uses two types of information: language model and translation model. The source language model is based on N-gram method to extract phrases from segmented Myanmar sentences and the translation model is based on syntactic structure, morphology of Myanmar language and Bayes rule to reformulate the translation probability. Experimental results showed that the proposed system gets a BLEU-score improvement of more than 22.08% in comparison with baseline SMT system.

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References

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Author information

Authors and Affiliations

  1. University of Computer Studies, Yangon, Myanmar

    Thet Thet Zin & Ni Lar Thein

  2. Natural Language Processing Laboratory, University of Computer Studies, Yangon, Myanmar

    Khin Mar Soe

Authors
  1. Thet Thet Zin
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  2. Khin Mar Soe
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  3. Ni Lar Thein
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Editor information

Editors and Affiliations

  1. School of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    De-Shuang Huang

  2. School of Computer and Communication Engineering, Zhengzhou University of Light Industry, No. 5, Dongfeng Road, Jinshui District, 450002, Zhengzhou, Henan, China

    Yong Gan

  3. Indian Institute of Technology Kanpur, 208016, Kanpur, India

    Phalguni Gupta

  4. Department of Biotechnology, Indian Institute of Technology Madras, 600 036, Chennai, Tamilnadu, India

    M. Michael Gromiha

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© 2012 Springer-Verlag Berlin Heidelberg

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Zin, T.T., Soe, K.M., Thein, N.L. (2012). Translation Model of Myanmar Phrases for Statistical Machine Translation. In: Huang, DS., Gan, Y., Gupta, P., Gromiha, M.M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2011. Lecture Notes in Computer Science(), vol 6839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25944-9_31

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  • DOI: https://doi.org/10.1007/978-3-642-25944-9_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25943-2

  • Online ISBN: 978-3-642-25944-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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