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Metaphor abounds in both sign and spoken languages. However, in sign languages, languages in the visual-manual modality, metaphors work a bit differently than they do in spoken languages.
Irit Meir, Irit Meir, Ariel Cohen
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New Perspectives on the Neurobiology of Sign Languages
The first 40 years of research on the neurobiology of sign languages (1960–2000) established that the same key left hemisphere brain regions support both signed and spoken languages, based primarily on evidence from signers with brain injury and at the ...
Karen Emmorey
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Internally-headed relative clauses in sign languages
This chapter considers relative clause data from sign languages in light of their variation with respect to basic word order, nonmanual marking, and presence/absence of internally-headed and externally-headed relative clauses.
Ronnie Wilbur
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OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages [PDF]
AI technologies for Natural Languages have made tremendous progress recently. However, commensurate progress has not been made on Sign Languages, in particular, in recognizing signs as individual words or as complete sentences.
Prem Selvaraj +3 more
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Historical Linguistics of Sign Languages: Progress and Problems
In contrast to scholars and signers in the nineteenth century, William Stokoe conceived of American Sign Language (ASL) as a unique linguistic tradition with roots in nineteenth-century langue des signes française, a conception that is apparent in his ...
Justin M. Power
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Is There Any Hope for Developing Automated Translation Technology for Sign Languages?
This article discusses the prerequisites for the machine translation of sign languages. The topic is complex, including questions relating to technology, interaction design, linguistics and culture.
Tommi Jantunen +5 more
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Two-Stream Network for Sign Language Recognition and Translation [PDF]
Sign languages are visual languages using manual articulations and non-manual elements to convey information. For sign language recognition and translation, the majority of existing approaches directly encode RGB videos into hidden representations.
Yutong Chen +5 more
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Natural sign languages of deaf communities are acquired on the same time scale as that of spoken languages if children have access to fluent signers providing input from birth.
D. Lillo-Martin, Jonathan Henner
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YouTube-ASL: A Large-Scale, Open-Domain American Sign Language-English Parallel Corpus [PDF]
Machine learning for sign languages is bottlenecked by data. In this paper, we present YouTube-ASL, a large-scale, open-domain corpus of American Sign Language (ASL) videos and accompanying English captions drawn from YouTube.
David C. Uthus +2 more
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Natural Language-Assisted Sign Language Recognition [PDF]
Sign languages are visual languages which convey in-formation by signers' handshape, facial expression, body movement, and so forth. Due to the inherent restriction of combinations of these visual ingredients, there exist a significant number of visually
Ronglai Zuo, Fangyun Wei, B. Mak
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