Research Article
Improving English-Bharti Braille Machine Translation Through Proper Name Entity Translation
@INPROCEEDINGS{10.4108/eai.24-3-2022.2319020, author={Nisheeth Joshi and Pragya Katyayan}, title={Improving English-Bharti Braille Machine Translation Through Proper Name Entity Translation}, proceedings={Proceedings of the 3rd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2022, 24-25 March 2022, New Delhi, India}, publisher={EAI}, proceedings_a={ICIDSSD}, year={2023}, month={5}, keywords={machine translation name entity recognition source text rewriting syntax transfer bharti braille}, doi={10.4108/eai.24-3-2022.2319020} }
- Nisheeth Joshi
Pragya Katyayan
Year: 2023
Improving English-Bharti Braille Machine Translation Through Proper Name Entity Translation
ICIDSSD
EAI
DOI: 10.4108/eai.24-3-2022.2319020
Abstract
Machine Translation has been one of the main areas of research in the dawn of Artificial Intelligence. Although getting a human-level accuracy through a machine was considered as a task that is next to impossible, this cliché is on the verge of being broken. The paper discusses the development of an MT system for English-Bharti Braille. The system translates the English test into Braille which can be read by people who are visually impaired. For this a separate module for handling name entities is incorporated into the MT pipeline. It is an attempt to disseminate knowledge to people who have a craving for learning. The results of the system are compared using BLEU metric and have shown improvement over the baseline system.
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