ChatGPT, Let us Chat Sign Language: Experiments, Architectural Elements,
  Challenges and Research Directions
Nada Shahin Leila Ismail
ChatGPT is a language model based on Generative AI. Existing research work on
ChatGPT focused on its use in various domains. However, its potential for Sign
Language Translation (SLT) is yet to be explored. This paper addresses this
void. Therefore, we present GPT's evolution aiming a retrospective analysis of
the improvements to its architecture for SLT. We explore ChatGPT's capabilities
in translating different sign languages in paving the way to better
accessibility for deaf and hard-of-hearing community. Our experimental results
indicate that ChatGPT can accurately translate from English to American (ASL),
Australian (AUSLAN), and British (BSL) sign languages and from Arabic Sign
Language (ArSL) to English with only one prompt iteration. However, the model
failed to translate from Arabic to ArSL and ASL, AUSLAN, and BSL to Arabic.
Consequently, we present challenges and derive insights for future research
directions.