研究人员开发了一个新框架，通过关注空间索引来改进手语模型，空间索引是手语中一个至关重要但常被忽视的方面。该方法将空间引用的解析分解为索引检测和话语实体链接，旨在更好地捕捉用于共指的指示手势。所提出的方法为面向索引的手语建模奠定了基线，并可以增强现有模型以提高它们对非词汇构建的理解。 AI
影响 增强了人工智能理解和处理手语的能力，有望改善聋哑和听障社区的可访问性和沟通工具。
排序理由 该集群包含一篇详细介绍手语处理新框架的学术论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2606.08056v1 Announce Type: cross Abstract: Sign language models are predominantly trained with gloss-sequence or text supervision, thereby under-modeling non-lexical and productive constructions. One comparatively tractable instance is spatial indexing: pointing gestures t…
Sign language models are predominantly trained with gloss-sequence or text supervision, thereby under-modeling non-lexical and productive constructions. One comparatively tractable instance is spatial indexing: pointing gestures that assign discourse entities to spatial loci for …