In this paper, we study Braille word segmentation and transformation of Mandarin Braille to Chinese characters. The former consists of rule, sign and knowledge bases for disambiguation and mistake correction by using ...
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In this paper, we study Braille word segmentation and transformation of Mandarin Braille to Chinese characters. The former consists of rule, sign and knowledge bases for disambiguation and mistake correction by using adjacent constraints and bi-directional maximal matching in which segmentation precision is better than 99%. The latter can be divided into two stages: Braille to Chinese pinyin (a phonemic Romanization) and pinyin to characters, By incorporating a pinyin knowledge dictionary into the system, we have perfectly solved the problem of ambiguity in the translation from Braille to pinyin and developed a statistical language model based on the transformation of pinyin to characters. By using Viterbi search, we have built a multi-level graph and found the sequence of Chinese characters with maximal likelihood. By using an N-Best algorithm to get the N most likely character sequences and probing into the means of measurement, our correct candidates within the top-five have a further improvement of 3%. By testing on 40,000 Chinese characters for the evaluation of the system performance, our overall translation precision of Braille codes to Chinese characters for common documents arrives at 94.38%;if proper nouns are not considered, our improvement reaches 2%. (C) 2002 Elsevier Science B.V. All rights reserved.
This paper is about the segmentation of Braille words and the transformation from Mandarin Braille to Chinese *** word segmentation consists of rules base,the signs base of segmentation and knowledge base for disambig...
详细信息
This paper is about the segmentation of Braille words and the transformation from Mandarin Braille to Chinese *** word segmentation consists of rules base,the signs base of segmentation and knowledge base for disambiguation and mistakes,by using adjacency constraints and bidirectional maximum matching with a dictionary,our system's segmentation precision is better than 99%for the common *** incorporating a pinyin knowledge dictionary into the system,we perfectly solved the problem of ambiguity in the translation from Braille to pinyin and developed a statistical language model based on the transformation of pinyin into *** using a multi-knowledge base to carry out the disambiguation process for each pinyin sentence,we built a multi-level graph and used Viterbi search to find the sequence of Chinese characters with maximum likelihood,and used an N-Best algorithm to get the N most likely character *** experimental results show that the system's overall precision for translation from Braille codes to Chinese characters is 94.38%.
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