People who are visually impaired face a lot of difficulties while studying.
One of the major causes to this is lack of available text in Bharti Braille
script. In this paper, we have suggested a scheme to convert text in major
Indian languages into Bharti Braille. The system uses a hybrid approach where
at first the text in Indian language is given to a rule based system and in
case if there is any ambiguity then it is resolved by applying a LSTM based
model. The developed model has also been tested and found to have produced near
accurate results.

本文提出了一种将印度主要语言转换为 Bharti 盲文的方案，该系统采用混合方法，使用基于规则和基于 LSTM 的模型，测试结果表明该模型的准确性接近实际。

一种从印度语到巴哈蒂盲文字符的文本翻译模型

A Model for Translation of Text from Indian Languages to Bharti Braille  Characters

In this paper, we have shown the improvement of English to Bharti Braille
machine translation system. We have shown how we can improve a baseline NMT
model by adding some linguistic knowledge to it. This was done for five
language pairs where English sentences were translated into five Indian
languages and then subsequently to corresponding Bharti Braille. This has been
demonstrated by adding a sub-module for translating multi-word expressions. The
approach shows promising results as across language pairs, we could see
improvement in the quality of NMT outputs. The least improvement was observed
in English-Nepali language pair with 22.08% and the most improvement was
observed in the English-Hindi language pair with 23.30%.

本文介绍一种改进了的英文到 Bharti 盲文的机器翻译系统，通过添加语言知识和翻译多词表达式子模块实现了对 NMT 模型的改进，目标语言为五种印度语言，英印语言对翻译质量最高达到 23.30% 的提高。