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May 11, 2026Universal Access in the Information SocietyOpen Access

Deep insights into Turkish sign language recognition, generation, and translation: a comprehensive systematic review

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FKFesih KeskinGIGültekin Işık

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Overview

Comprehensive review reveals advancements in Turkish Sign Language technology and user-centered AI applications.

Key Points

  • This review aims to evaluate the development and challenges in Turkish Sign Language recognition, generation, and translation methodologies.
  • Conducted a systematic review using PRISMA guidelines screening eight databases.
  • Analyzed 86 peer-reviewed studies published between 2003 and 2026.
  • Highlighted advances through multimodal deep-learning approaches and benchmark corpora.
  • Current systems achieve over 95% accuracy in isolated sign recognition.
  • Identified challenges include dialect coverage, facial annotation, and evaluation variability.
  • Prototypes developed for educational and healthcare contexts show practical applications of TİD technology.

Cite This Study

Keskin et al. (2026) studied this question.

synapsesocial.com/papers/6a0171ed3a9f334c28271f98https://doi.org/10.1007/s10209-026-01343-6
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