THE IMPACT OF ARTIFICIAL INTELLIGENCE ON SIGN LANGUAGE COMMUNICATION

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Nashr: Jild 3 Nomeri 41 : Молодые ученые
Bo'lim: Articles
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Asaka District Secondary School No. 42, English teacher
boqijonovbeknazar2@gmail.com

Abstrak:

This thesis examines the transformative influence of Artificial Intelligence (AI) on sign language communication, highlighting its role in enhancing accessibility, inclusivity, and communication efficiency for the deaf and hard-of-hearing community. The research explores how AI-based tools such as gesture recognition systems, neural networks, and computer vision models are enabling real-time sign language translation and bridging communication gaps between hearing and non-hearing individuals. The study draws upon global practices, technological developments in advanced countries, and empirical data to assess the current state, challenges, and future directions of AI-driven sign language innovations.

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Bokijonov , B. . (2025). THE IMPACT OF ARTIFICIAL INTELLIGENCE ON SIGN LANGUAGE COMMUNICATION . Молодые ученые, 3(41), 141–142. Retrieved from https://in-academy.uz/index.php/yo/article/view/64360

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World Health Organization (2023). Deafness and hearing loss. Retrieved from https://www.who.int/news-room/fact-sheets/detail/deafness-and-hearing-loss

Koller, O., & Ney, H. (2021). Deep Learning for Sign Language Recognition and Translation. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Camgoz, N. C., Hadfield, S., & Bowden, R. (2022). Neural Sign Language Translation: Towards Real-Time Communication. University of Surrey Research Publications.

Grand View Research (2024). AI in Assistive Technology Market Size, Share & Trends Analysis Report. San Francisco, CA.

European Commission (2023). Horizon Europe: Inclusive AI and Accessibility Initiatives. Brussels: EU Publications Office.

Pradhan, A., Mehta, K., & Sharma, R. (2023). Ethical AI in Accessibility: Challenges in Sign Language Recognition Systems. Journal of Artificial Intelligence Ethics, 5(2), 210–225.