3 papers
cs.CL2026
HATL: Hierarchical Adaptive-Transfer Learning Framework for Sign Language Machine Translation
Nada Shahin, Leila Ismail
Sign Language Machine Translation (SLMT) aims to bridge communication between Deaf and hearing individuals. However, its progress is constrained by scarce datasets, limited signer…
cs.AI2025
ADAT: Time-Series-Aware Adaptive Transformer Architecture for Sign Language Translation
Nada Shahin, Leila Ismail
Current sign language machine translation systems rely on recognizing hand movements, facial expressions and body postures, and natural language processing, to convert signs into t…
cs.CL2025
GLoT: A Novel Gated-Logarithmic Transformer for Efficient Sign Language Translation
Nada Shahin, Leila Ismail
Machine Translation has played a critical role in reducing language barriers, but its adaptation for Sign Language Machine Translation (SLMT) has been less explored. Existing works…