Chinese to Braille translation based on Braille word segmentation using statistical model

详细信息    查看全文

• 作者：Xiangdong Wang 王向东 ; Yang Yang 杨 阳…
• 关键词：Key wordsChinese Braille ; word segmentation ; perceptron algorithm
• 刊名：Journal of Shanghai Jiaotong University (Science)
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：22
• 期：1
• 页码：82-86
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Electrical Engineering; Materials Science, general; Computer Science, general; Architecture, general; Life Sciences, general;
• 出版者：Shanghai Jiaotong University Press
• ISSN：1995-8188
• 卷排序：22

文摘

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.