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The Application of Phrase Based Statistical Machine Translation Techniques to Myanmar Grapheme to Phoneme Conversion

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Computational Linguistics (PACLING 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 593))

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Abstract

Grapheme-to-Phoneme (G2P) conversion is a necessary step for speech synthesis and speech recognition. In this paper, we attempt to apply a Statistical Machine Translation (SMT) approach for Myanmar G2P conversion. The performance of G2P conversion with SMT is measured in terms of BLEU score, syllable phoneme accuracy and processing time. The experimental results show that G2P conversion with SMT is outperformed a Conditional Random Field (CRF) approach. Moreover, the training time was considerably faster than the CRF approach.

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Acknowledgment

We thank Ms. Aye Mya Hlaing (UCSY, Yangon, Myanmar) and Ms. Hay Mar Soe Naing (UCSY, Yangon, Myanmar) for their help in phoneme tagging and checking for MLC dictionary and selected 5,276 sentences.

Author information

Authors and Affiliations

  1. Multilingual Translation Laboratory, NICT, Kyoto, Japan

    Ye Kyaw Thu, Andrew Finch & Eiichiro Sumita

  2. Natural Language Processing Lab, UCSY, Yangon, Myanmar

    Win Pa Pa

  3. Spoken Language Communication Laboratory, NICT, Kyoto, Japan

    Jinfu Ni & Chiori Hori

Authors
  1. Ye Kyaw Thu
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  2. Win Pa Pa
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  3. Andrew Finch
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  4. Jinfu Ni
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  5. Eiichiro Sumita
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  6. Chiori Hori
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Corresponding author

Correspondence to Ye Kyaw Thu .

Editor information

Editors and Affiliations

  1. Graduate School of Information Science, The University of Tokyo, Bunkyo-ku, Tokyo, Japan

    Kôiti Hasida

  2. School of Electrical Eng and Informatics, Bandung Institute of Technology, Bandung, Indonesia

    Ayu Purwarianti

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Thu, Y.K., Pa, W.P., Finch, A., Ni, J., Sumita, E., Hori, C. (2016). The Application of Phrase Based Statistical Machine Translation Techniques to Myanmar Grapheme to Phoneme Conversion. In: Hasida, K., Purwarianti, A. (eds) Computational Linguistics. PACLING 2015. Communications in Computer and Information Science, vol 593. Springer, Singapore. https://doi.org/10.1007/978-981-10-0515-2_17

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  • DOI: https://doi.org/10.1007/978-981-10-0515-2_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0514-5

  • Online ISBN: 978-981-10-0515-2

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