CBConv: Service for Automatic Conversion of Chinese Characters into Braille with High Accuracy
Xiangdong Wang, Jinghua Zhong, Jia Cheng Cai, Hong Shu Liu, Yueliang Qian · 2019
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.