DiscoSign: Discourse-Aware Text to Sign Language Gloss Translation

arXiv:2609.02796 · cs.CL · Submitted 2026-09-02 · Read on arXiv

cs.CL

Submitted: 2026-09-02

Updated: 2026-09-02

Terminology

• Consistency — 38× in this paper · explained in 3 episodes
• Concept-Gloss Consistency — 12× in this paper
• Verification — 8× in this paper · explained in 2 episodes
• American Sign Language — 7× in this paper
• Accuracy — 5× in this paper · explained in 1 episode
• Large Language Model — 5× in this paper
• Ablation — 3× in this paper · explained in 1 episode
• Ablation Studies — 2× in this paper · explained in 1 episode
• Computer Vision and Pattern Recognition — 2× in this paper
• Copula — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 2× in this paper
• Generalization — 2× in this paper · explained in 13 episodes
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• Low-Resource Languages — 2× in this paper · explained in 4 episodes
• Pragmatics — 2× in this paper · explained in 2 episodes
• Spatial Coreference Accuracy — 2× in this paper
• Ablation study — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Cognitive Load — 1× in this paper · explained in 2 episodes
• Concept-Gloss Consistency Module — 1× in this paper
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Question-Answer Clause Module — 1× in this paper
• Robustness — 1× in this paper · explained in 5 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Spatial Coreference Module — 1× in this paper

Sources

• ASL Video Corpora & Sign Bank: Resources Available through the American Sign Language Linguistic Research Project (ASLLRP)
• Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research

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