文献类型：会议论文

英文题名：CBConv: Service for Automatic Conversion of Chinese Characters into Braille with High Accuracy

作者：Wang, Xiangdong[1];Zhong, Jinghua[2];Cai, Jia[1];Liu, Hong[1];Qian, Yueliang[1]

第一作者：Wang, Xiangdong

通讯作者：Wang, XD[1]

机构：[1]Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China;[2]Beijing Union Univ, Coll Special Educ, Beijing, Peoples R China

第一机构：Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China

通讯机构：[1]corresponding author), Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China.

会议论文集：21st ACM SIGACCESS International Conference on Computers and Accessibility (ASSETS)

会议日期：OCT 28-30, 2019

会议地点：Pittsburgh, PA

语种：英文

外文关键词：Chinese Braille; automatic conversion; deep learning; RNN

摘要：The conversion of Chinese Characters into Braille faces the challenges of Braille word segmentation, pronunciation determination, and tone marking. In this paper, we present the CBConv service for automatic conversion of Chinese characters into Braille with high accuracy. The service supports two modes: real-time conversion of Chinese strings and asynchronous conversion of documents. To address the challenges described above, an end-to-end deep learning framework is proposed, which can perform pronunciation determination, word segmentation and tone marking simultaneously using a deep neural network. Accuracy evaluation and user study are conducted, which demonstrate the usability of the proposed system.