Sign language machine translation has progressed substantially over the past decade, evolving from isolated sign recognition to end-to-end translation systems. Advances in pose estimation, transformer architectures, and large-scale dataset collection have driven progress, yet challenges remain. Datasets are limited com...
Ozge Mercanoglu Sincan, A. Pelykh, Edward Fish et al.· 0 citations
Sign language video generation demands precise hand and facial articulation, yet modern video diffusion models, trained predominantly on spoken-language video, produce artifacts that render signing unintelligible. We propose SignRefine, a sign language video generation model that produces comprehensible signing from 2D...
A. Pelykh, Edward Fish, Ozge Mercanoglu Sincan et al.· 0 citations
This work introduces an alternative inspired by language-learning assessment, using an open-weight-LLM QA protocol that measures salient content preservation that aligns more closely with human rankings and is six to seven times more paraphrase-invariant than BLEU-4.
Oline Ranum, Edward Fish, Simon Hadfield et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
