Multiple Languages to Sign Language Using NLTK

Authors

  • P Shriya Rao  Computer Science and Engineering, Anurag Group of Institutions, Hyderabad, Telangana, India
  • T Vamsi Rohit  Computer Science and Engineering, Anurag Group of Institutions, Hyderabad, Telangana, India
  • B Manasa  Computer Science and Engineering, Anurag Group of Institutions, Hyderabad, Telangana, India
  • Prof. V Lingamaiah  Computer Science and Engineering, Anurag Group of Institutions, Hyderabad, Telangana, India

DOI:

https://doi.org//10.32628/IJSRST2310189

Keywords:

Sign Language, Natural Language Processing (NLP), Asynchronous Server Gateway Interface (ASGI), Webserver Gateway Interface (WSGI).

Abstract

Sign language involves visual gestures and signs that deaf and mute people adopt as their first conversation. People other than deaf or hard of hearing can also use sign language, like, people suffering from autism, apraxia of speech, cerebral palsy or down syndrome. It entails hand gestures, non-verbal communication or physical movement, and face emotions all at the same time. It may be used by communities who have difficulty to speak, those who can hear but cannot talk, and helps normal individuals to interact with hearing impaired people. There are several groups of hearing-impaired people throughout the globe, and each community's language is unique. American Sign Language (ASL) is utilized throughout United States; British Sign Language (BSL) is a form of communication in the United Kingdom; Australian Sign Language (AUSLAN) is used in Australia; and Indian Sign Language (ISL) is used in India. ISL signs are divided into three categories: one handed, two handed, and non-manual signs. One-handed and two-handed signs are sometimes known as manual signs. Changes in body position and facial emotions provide non-manual indicators. This translator converts English text to Sign language, allowing hearing-impaired persons in India to engage with others. This application takes multiple languages as input and gives signs as information.

References

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Published

2023-04-30

Issue

Section

Research Articles

How to Cite

[1]
P Shriya Rao, T Vamsi Rohit, B Manasa, Prof. V Lingamaiah, " Multiple Languages to Sign Language Using NLTK, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 10, Issue 2, pp.12-17, March-April-2023. Available at doi : https://doi.org/10.32628/IJSRST2310189