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Chinese to Braille Translation Based on Braille Word Segmentation Using Statistical Model

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【作者】 王向东杨阳张金超姜文斌刘宏钱跃良

【Author】 WANG Xiangdong;YANG Yang;ZHANG Jinchao;JIANG Wenbin;LIU Hong;QIAN Yueliang;Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology,Chinese Academy of Sciences;Institute of Computing Technology,Chinese Academy of Sciences;Jiangsu Enterprise Information Operation Center,China Telecom Corporation Limited;

【机构】 Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology,Chinese Academy of SciencesInstitute of Computing Technology,Chinese Academy of SciencesJiangsu Enterprise Information Operation Center,China Telecom Corporation Limited

【摘要】 Automatic translation of Chinese text to Chinese Braille is important for blind people in China to acquire information using computers or smart phones. In this paper, a novel scheme of Chinese-Braille translation is proposed. 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. This method avoids establishing rules concerning syntactic and semantic information and uses statistical model to learn the rules stealthily and automatically. To further improve the performance, an algorithm of fusing the results of Chinese word segmentation and Braille word segmentation is also proposed. Our results show that the proposed method achieves accuracy of 92.81% for Braille word segmentation and considerably outperforms current approaches using the segmentation-merging scheme.

【Abstract】 Automatic translation of Chinese text to Chinese Braille is important for blind people in China to acquire information using computers or smart phones. In this paper, a novel scheme of Chinese-Braille translation is proposed. 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. This method avoids establishing rules concerning syntactic and semantic information and uses statistical model to learn the rules stealthily and automatically. To further improve the performance, an algorithm of fusing the results of Chinese word segmentation and Braille word segmentation is also proposed. Our results show that the proposed method achieves accuracy of 92.81% for Braille word segmentation and considerably outperforms current approaches using the segmentation-merging scheme.

【基金】 Fthe National Key Technology R&D Program of China(No.2014BAK15B02);the National Natural Science Foundation of China(No.61202209)
  • 【文献出处】 Journal of Shanghai Jiaotong University(Science) ,上海交通大学学报(英文版) , 编辑部邮箱 ,2017年01期
  • 【分类号】TP391.1
  • 【被引频次】7
  • 【下载频次】59
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