R to @GoogleDeepMind: SL2T is state-of-the-art on academic benchmarks, plus it's optimized for…

TL;DR - Google DeepMind says SL2T achieves state-of-the-art academic benchmark results for sign-language-to-text translation while supporting practical scenarios such as one-handed signing. Its hybrid design performs body-pose tracking on-device for privacy, then translates poses into text on servers.

• Targets real-world mobile use, including signing while holding a phone.
• Keeps video-derived body-pose tracking on the device.
• Sends pose information—not raw video—to servers for text translation.
• Benchmark details and quantitative results are not provided here.