Sentence Generation for Indian Sign Language Using NLP

Nowadays the interaction among deaf and mute people and normal people is difficult, because normal people scuffle to understand the sense of the gestures. The deaf and dumb people find problem in sentence formation and grammatical correction. To alleviate the issues faced by these people, an automat...

Full description

Saved in:
Bibliographic Details
Published inWebology Vol. 18; no. Special Issue 01; pp. 196 - 210
Main Authors Jeyasheeli, Dr.P. Golda, Indumathi, N.
Format Journal Article
LanguageEnglish
Published Tehran Dr. Alireza Noruzi, University of Tehran, Department of Library and Information Science 2021
Subjects
Communication
Deafness
Design
Efficiency
Grammar
Methods
Natural language processing
Neural networks
Sign language
Systems design
Online AccessGet full text

Cover

More Information
Summary:Nowadays the interaction among deaf and mute people and normal people is difficult, because normal people scuffle to understand the sense of the gestures. The deaf and dumb people find problem in sentence formation and grammatical correction. To alleviate the issues faced by these people, an automatic sign language sentence generation approach is propounded. In this project, Natural Language Processing (NLP) based methods are used. NLP is a powerful tool for translation in the human language and also responsible for the formation of meaningful sentences from sign language symbols which is also understood by the normal person. In this system, both conventional NLP methods and Deep learning NLP methods are used for sentence generation. The efficiency of both the methods are compared. The generated sentence is displayed in the android application as an output. This system aims to connect the gap in the interaction among the deaf and dumb people and the normal people.
ISSN:1735-188X
1735-188X
DOI:10.14704/WEB/V18SI01/WEB18054