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Chinese to Braille Translation Based on Braille Word Segmentation Using Statistical Model 被引量:2
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作者 王向东 杨阳 +3 位作者 张金超 姜文斌 刘宏 钱跃良 《Journal of Shanghai Jiaotong university(Science)》 EI 2017年第1期82-86,共5页
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 p... 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. 展开更多
关键词 chinese braille word segmentation perceptron algorithm TP 391.1 A
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