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Chinese-Braille Translation Based on Braille Corpus


  • Xiangdong Wang

    (Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China)

  • Yang Yang

    (Jiangsu Enterprise Information Operation Center, China Telecom Corporation Limited, Beijing, China)

  • Hong Liu

    (Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China)

  • Yueliang Qian

    (Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China)


For people with visual disabilities, reading Braille text is an important way to acquire information. There are great challenges for Chinese-Braille translation due to the characteristics of word segmentation and tone marking in Chinese Braille. In this paper, a novel scheme of Chinese-Braille translation is proposed. Unlike current methods which use heuristic rules defined by experts for Braille word segmentation, the proposed method performs Chinese-Braille translation based on a Braille Corpus without experts on Braille. Under the scheme, a Braille word segmentation model based on statistical machine learning is trained on a Braille corpus, and Braille word segmentation is carried out using the statistical model directly without the stage of Chinese word segmentation. Tone marking and some special treatment are also performed based on word and rule mining on the Corpus. This method avoids manually establishment of rules concerning syntactic and semantic information and uses statistical model to learn the rules by stealthily and automatically. Experimental results show the effectiveness of the proposed approach.

Suggested Citation

  • Xiangdong Wang & Yang Yang & Hong Liu & Yueliang Qian, 2016. "Chinese-Braille Translation Based on Braille Corpus," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), IGI Global, vol. 8(2), pages 56-63, April.
  • Handle: RePEc:igg:japuc0:v:8:y:2016:i:2:p:56-63

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