  Sign Language is the dominant yet non-primary form of communication language
used in the deaf and hearing-impaired community. To make an easy and mutual
communication between the hearing-impaired and the hearing communities,
building a robust system capable of translating the spoken language into sign
language and vice versa is fundamental. To this end, sign language recognition
and production are two necessary parts for making such a two-way system. Sign
language recognition and production need to cope with some critical challenges.
In this survey, we review recent advances in Sign Language Production (SLP) and
related areas using deep learning. This survey aims to briefly summarize recent
achievements in SLP, discussing their advantages, limitations, and future
directions of research.
