AI RESEARCH
FEA-SLT: A Gloss-Free End-to-End Framework for Facial-Expression-Aware Sign Language Translation
arXiv CS.CL
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ArXi:2601.03549v2 Announce Type: replace-cross Sign Language Translation (SLT) is a challenging cross-modal task requiring joint modeling of manual articulations and non-manual signals. Existing gloss-free SLT methods effectively capture gestural dynamics but often underutilize facial expressions, which play crucial grammatical and disambiguating roles. This limitation can cause semantic degradation when distinct concepts share similar manual configurations.