DiscoSign: Discourse-Aware Text to Sign Language Gloss Translation
Apple Machine Learningen
Apple Machine Learning
AI Global WireSign language processing systems have traditionally operated at the sentence level, ignoring critical discourse phenomena fundamental to sign language comprehension. We introduce DiscoSign, a computational approach for discourse-aware text to sign language gloss translation grounded in linguistic research. We address three key phenomena within our modular Large Language Model (LLM)-based translation framework: (i) spatial coreference resolution, where entities maintain consistent spatial locations throughout discourse; (ii) Question-Answer Clauses (QACs), pseudocleft structures serving…
This is a short summary published by AI Global Wire. The full article is owned and hosted by Apple Machine Learning — open it there to read it in full.
Read the full story at Apple Machine Learning- Verktyg
- Forskning
Related AI news
- The hard physics and complex economics of AI’s insatiable hunger for powerSiliconANGLE · September 11, 2026
- Anthropic révèle que plusieurs organisations d’extrême droite françaises, dont un parti politique, ont été piratées à l’aide de son IA, ClaudeLe Monde Pixels · September 11, 2026
- AI’s existential crisis explodes but AI companies plunge ahead anywaySiliconANGLE · September 11, 2026
- How hackers used Claude for missiles, drone swarms, and surveillance, while Chinese labs mined it for training dataThe Decoder · September 11, 2026
- EU:s cybermyndighet får tillgång till Mythos 5 – efter flera månaderComputer Sweden · September 11, 2026
- Claude users found ways around safeguards for bioweapons researchArs Technica AI · September 11, 2026