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Design and Implementation of Chinese Common Braille Translation System Integrating Braille Word Segmentation and Concatenation Rules

An important sign of the accessibility of Braille information is the realization of the mutual translation between Chinese and the Braille. Due to the irregularity and uncertainty of the Prevailing Mandarin Braille, coupled with the lack of a large-scale Braille corpus, the quality of Chinese-Braill...

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Autores principales: Zhang, Ju-Xiao, Chen, Hai-Feng, Chen, Bing, Chen, Bei-Qin, Zhong, Jing-Hua, Zeng, Xiao-Qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9129926/
https://www.ncbi.nlm.nih.gov/pubmed/35619767
http://dx.doi.org/10.1155/2022/8934241
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author Zhang, Ju-Xiao
Chen, Hai-Feng
Chen, Bing
Chen, Bei-Qin
Zhong, Jing-Hua
Zeng, Xiao-Qin
author_facet Zhang, Ju-Xiao
Chen, Hai-Feng
Chen, Bing
Chen, Bei-Qin
Zhong, Jing-Hua
Zeng, Xiao-Qin
author_sort Zhang, Ju-Xiao
collection PubMed
description An important sign of the accessibility of Braille information is the realization of the mutual translation between Chinese and the Braille. Due to the irregularity and uncertainty of the Prevailing Mandarin Braille, coupled with the lack of a large-scale Braille corpus, the quality of Chinese-Braille translation seems to be poor. In July 2018, the National Language Commission released the “Chinese Common Braille Scheme” and advocated replacing the “Prevailing Mandarin Braille.” Aimed at improving translation accuracy, this research, which is based on the self-built Chinese Common Braille corpus and combined with the HanLP (Han Language Processing) dictionary and the Chinese-Braille word corpus (a Braille word segmentation and concatenation dictionary for generating a unigram language model), uses the n-gram language model to design and implement a Chinese-Braille intertranslation system that integrates Chinese and Braille Word Segmentation and Concatenation Rules. More importantly, this research proposes an experimental plan for improving the Braille Word Segmentation and Concatenation Rules using a Chinese-Braille word corpus. Experiments show that in the field of educational literature, the accuracy rate of translation from Chinese to Chinese Common Braille has reached 95.01%, and the accuracy of Chinese Common Braille to Chinese translation has reached 90.15%.
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spelling pubmed-91299262022-05-25 Design and Implementation of Chinese Common Braille Translation System Integrating Braille Word Segmentation and Concatenation Rules Zhang, Ju-Xiao Chen, Hai-Feng Chen, Bing Chen, Bei-Qin Zhong, Jing-Hua Zeng, Xiao-Qin Comput Intell Neurosci Research Article An important sign of the accessibility of Braille information is the realization of the mutual translation between Chinese and the Braille. Due to the irregularity and uncertainty of the Prevailing Mandarin Braille, coupled with the lack of a large-scale Braille corpus, the quality of Chinese-Braille translation seems to be poor. In July 2018, the National Language Commission released the “Chinese Common Braille Scheme” and advocated replacing the “Prevailing Mandarin Braille.” Aimed at improving translation accuracy, this research, which is based on the self-built Chinese Common Braille corpus and combined with the HanLP (Han Language Processing) dictionary and the Chinese-Braille word corpus (a Braille word segmentation and concatenation dictionary for generating a unigram language model), uses the n-gram language model to design and implement a Chinese-Braille intertranslation system that integrates Chinese and Braille Word Segmentation and Concatenation Rules. More importantly, this research proposes an experimental plan for improving the Braille Word Segmentation and Concatenation Rules using a Chinese-Braille word corpus. Experiments show that in the field of educational literature, the accuracy rate of translation from Chinese to Chinese Common Braille has reached 95.01%, and the accuracy of Chinese Common Braille to Chinese translation has reached 90.15%. Hindawi 2022-05-17 /pmc/articles/PMC9129926/ /pubmed/35619767 http://dx.doi.org/10.1155/2022/8934241 Text en Copyright © 2022 Ju-Xiao Zhang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhang, Ju-Xiao
Chen, Hai-Feng
Chen, Bing
Chen, Bei-Qin
Zhong, Jing-Hua
Zeng, Xiao-Qin
Design and Implementation of Chinese Common Braille Translation System Integrating Braille Word Segmentation and Concatenation Rules
title Design and Implementation of Chinese Common Braille Translation System Integrating Braille Word Segmentation and Concatenation Rules
title_full Design and Implementation of Chinese Common Braille Translation System Integrating Braille Word Segmentation and Concatenation Rules
title_fullStr Design and Implementation of Chinese Common Braille Translation System Integrating Braille Word Segmentation and Concatenation Rules
title_full_unstemmed Design and Implementation of Chinese Common Braille Translation System Integrating Braille Word Segmentation and Concatenation Rules
title_short Design and Implementation of Chinese Common Braille Translation System Integrating Braille Word Segmentation and Concatenation Rules
title_sort design and implementation of chinese common braille translation system integrating braille word segmentation and concatenation rules
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9129926/
https://www.ncbi.nlm.nih.gov/pubmed/35619767
http://dx.doi.org/10.1155/2022/8934241
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