Current sign language machine translation systems rely on recognizing hand movements, facial expressions, and body postures, and natural language processing, to convert signs into text. While recent ...

Large language models (LLMs) have substantially advanced multilingual translation, yet their computational cost limits deployment in resource-constrained scenarios and latency-critical applications.