Sign Language Generation – A survey of techniques
Shruti Chikalthankar1, Archana Ghotkar2

1Shruti Chikalthankar, Computer Engineering, Pune Institute of Computer Technology, Pune, India.
2Dr. Archana Ghotkar, Computer Engineering, Pune Institute of Computer Technology, Pune, India.
Manuscript received on June 12, 2020. | Revised Manuscript received on June 29, 2020. | Manuscript published on July 10, 2020. | PP: 473-476 | Volume-9 Issue-9, July 2020 | Retrieval Number: 100.1/ijitee.I7244079920 | DOI: 10.35940/ijitee.I7244.079920
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Abstract: Sign language is a visual language that uses body postures and facial expressions. It is generally used by hearing-impaired people as a source of communication. According to the World Health Organization (WHO), around 466 million people (5% of the world population) are with hearing and speech impairment. Normal people generally do not understand this sign language and hence there is a communication gap between hearing-impaired and other people. Different phonemic scripts were developed such as Ham NoSys notation that describes sign language using symbols. With the development in the field of artificial intelligence, we are now able to overcome the limitations of communication with people using different languages. Sign language translating system is the one that converts sign to text or speech whereas sign language generating system is the one that converts speech or text to sign language. Sign language generating systems were developed so that normal people can use this system to display signs to hearing-impaired people. This survey consists of a comparative study of approaches and techniques that are used to generate sign language. We have discussed general architecture and applications of the sign language generating system. 
Keywords: Ham NoSys, Machine translation, Natural Language Processing, Sign language.
Scope of the Article: Natural Language Processing