What Counts as a Sign Language System?
Before metrics and models, we need a clear definition of the system boundary.
A common failure in sign language AI conversations is treating the model as the whole system.
In practice, a sign language system includes:
- data collection choices
- annotation policy
- model objective
- user-facing interface
- escalation path when things fail
If we only optimize model accuracy, we optimize the wrong layer.
A useful first principle is to make the system boundary explicit before discussing quality.
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References
Padden, C., & Humphries, T. (2005). Inside Deaf Culture. Harvard University Press.
National Institute on Deafness and Other Communication Disorders. "American Sign Language." NIDCD, 2024. Accessed March 14, 2026.
https://www.nidcd.nih.gov/health/american-sign-languageCamgoz, N. C., Koller, O., Hadfield, S., & Bowden, R. (2020). Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
https://openaccess.thecvf.com/content_CVPR_2020/html/Camgoz_Sign_Language_Transformers_Joint_End-to-End_Sign_Language_Recognition_and_Translation_CVPR_2020_paper.html