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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. 相似文献
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通过对目前港区现有消防设备的研究,借鉴国内外油库区、油码头消防系统,用系统工程原理,应用局域网络技术及PLC技术,研发出了适用于新港油品作业场所的集消防预警子系统、消防中心控制子系统、消防灭火动作执行子系统于一体的高效、可靠、先进的消防系统,该系统以较低的成本最大限度将新港的消防设备及资源整合起来,形成一个有机的体系,极大地提高消防灭火的准确性、可靠性及反应速度。该系统7年来在新港十几项工程中全面采用,经几十次实验、演习获得成功,为新港乃至其他港油品消防系统的设计提供了借鉴。 相似文献
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