基于马尔科夫模型的智能汉字盲文转换系统设计

Design of Braille Conversion System of Intelligent Chinese Characters Based on Markov Model

为了满足盲人与盲校的阅读与教学需求,摆脱传统纸质盲文书籍的限制,提出并设计了基于马尔科夫模型的智能汉字盲文转换系统,应用于盲文点显示器。本设计将汉字转换成盲文,总体分为汉字转拼音和拼音转盲文两个过程。汉字到拼音的转换通过马尔科夫模型来识别随机汉字文本语句,结合了逆向最大匹配分词法进行汉语文本的语句分词,利用词组字典与GB2312进行词组或单字的匹配,实现汉字到拼音的转换。同时,通过音码字典解决了拼音转盲文的问题。实验结果证明,该系统能够快速、精确识别汉字并将其转换为盲文。

In the paper,an intelligent braille conversion system of chinese characters based on markov model is proposed to meet the reading and teaching needs of blind people and blind schools,as well as to get rid of the limitation of traditional paper braille books,which is also applied to the display of braille point.In the design,Chinese characters are converted into braille,in which it is divided into two processes,such as the conversion of chinese characters to pinyin and then the conversion of pinyin to braille.In terms of the conversion of chinese characters to pinyin,it combines reverse maximum matching participle method for sentence segmentation of chinese text through the recognition of random chinese character text sentences by Markov model,which takes advantages of phrase dictionary and GB2312 to match phrases or words,so as to realize the conversion from chinese characters to pinyin.What's more,the dictionary of phonetic code is adopted to solve the problem of the conversion of pinyin to braille,so as to solve the problem of the conversion of pinyin to braille.The experiment results show that the system can recognize chinese characters quickly and accurately,so as to convert them into braille.