ChatGPT, Let us Chat Sign Language: Experiments, Architectural Elements, Challenges and Research Directions

ChatGPT is a language model based on Generative AI. Existing research work onChatGPT focused on its use in various domains. However, its potential for SignLanguage Translation (SLT) is yet to be explored. This paper addresses thisvoid. Therefore, we present GPT's evolution aiming a retrospective analysis ofthe improvements to its architecture for SLT. We explore ChatGPT's capabilitiesin translating different sign languages in paving the way to betteraccessibility for deaf and hard-of-hearing community. Our experimental resultsindicate that ChatGPT can accurately translate from English to American (ASL),Australian (AUSLAN), and British (BSL) sign languages and from Arabic SignLanguage (ArSL) to English with only one prompt iteration. However, the modelfailed to translate from Arabic to ArSL and ASL, AUSLAN, and BSL to Arabic.Consequently, we present challenges and derive insights for future researchdirections.