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DiscoSign: Discourse-Aware Text to Sign Language Gloss Translation

Paper recorded by Signals 4 on 2026-09-02 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-02 on arXiv · recorded by Signals 4 on 2026-09-03

Category: cs.CL · 自然语言处理 · first seen 2026-09-03

Abstract

Sign 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 translati

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#128 most recent of 186 cs.CL papers we have recorded · ↑ newer: User Feedback Provides a Unique Signal that LLMs Can not Detect · ↓ older: EarlyEval: Cheaper Agent Evaluation via Early Outcome Prediction
Cite this page: DiscoSign: Discourse-Aware Text to Sign Language Gloss Translation: the #128 most recent of 186 cs.CL papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/discosign-discourse-aware-text-to-sign-language-gloss-translation.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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