@inproceedings{kumar-etal-2020-railway,
title = "Railway Stations Announcement System for Deaf",
author = "Kumar, Rakesh and
Goyal, Vishal and
Goyal, Lalit",
editor = "Goyal, Vishal and
Ekbal, Asif",
booktitle = "Proceedings of the 17th International Conference on Natural Language Processing (ICON): System Demonstrations",
month = dec,
year = "2020",
address = "Patna, India",
publisher = "NLP Association of India (NLPAI)",
url = "https://aclanthology.org/2020.icon-demos.16",
pages = "40--42",
abstract = "People belonging to hearing-impaired community feels very uncomfortable while travelling or visiting at Railway Stations without the help of human interpreter. Hearing-impaired people are not able to hear any announcements made at Railway Stations like which train heading to which destination. They remain ignorant about the choosing of platform number or counter number without the help of interpreter. Even they cannot find whether train is on time, delayed or cancelled. The Railway Stations Announcement System for Deaf is a rule-based MT developed. It is the first system developed in the domain of public places to translate all the announcements used at Railway Stations into Indian Sign Language (ISL) synthetic animations. The system is developed using Python and Flask Framework. This Machine Translation system accepts announcements in the form of English text as input and produces Indian Sign Language (ISL) synthetic animations as output.",
}
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<abstract>People belonging to hearing-impaired community feels very uncomfortable while travelling or visiting at Railway Stations without the help of human interpreter. Hearing-impaired people are not able to hear any announcements made at Railway Stations like which train heading to which destination. They remain ignorant about the choosing of platform number or counter number without the help of interpreter. Even they cannot find whether train is on time, delayed or cancelled. The Railway Stations Announcement System for Deaf is a rule-based MT developed. It is the first system developed in the domain of public places to translate all the announcements used at Railway Stations into Indian Sign Language (ISL) synthetic animations. The system is developed using Python and Flask Framework. This Machine Translation system accepts announcements in the form of English text as input and produces Indian Sign Language (ISL) synthetic animations as output.</abstract>
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%0 Conference Proceedings
%T Railway Stations Announcement System for Deaf
%A Kumar, Rakesh
%A Goyal, Vishal
%A Goyal, Lalit
%Y Goyal, Vishal
%Y Ekbal, Asif
%S Proceedings of the 17th International Conference on Natural Language Processing (ICON): System Demonstrations
%D 2020
%8 December
%I NLP Association of India (NLPAI)
%C Patna, India
%F kumar-etal-2020-railway
%X People belonging to hearing-impaired community feels very uncomfortable while travelling or visiting at Railway Stations without the help of human interpreter. Hearing-impaired people are not able to hear any announcements made at Railway Stations like which train heading to which destination. They remain ignorant about the choosing of platform number or counter number without the help of interpreter. Even they cannot find whether train is on time, delayed or cancelled. The Railway Stations Announcement System for Deaf is a rule-based MT developed. It is the first system developed in the domain of public places to translate all the announcements used at Railway Stations into Indian Sign Language (ISL) synthetic animations. The system is developed using Python and Flask Framework. This Machine Translation system accepts announcements in the form of English text as input and produces Indian Sign Language (ISL) synthetic animations as output.
%U https://aclanthology.org/2020.icon-demos.16
%P 40-42
Markdown (Informal)
[Railway Stations Announcement System for Deaf](https://aclanthology.org/2020.icon-demos.16) (Kumar et al., ICON 2020)
ACL
- Rakesh Kumar, Vishal Goyal, and Lalit Goyal. 2020. Railway Stations Announcement System for Deaf. In Proceedings of the 17th International Conference on Natural Language Processing (ICON): System Demonstrations, pages 40–42, Patna, India. NLP Association of India (NLPAI).