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Sign Language Typology: The Contribution of Rural Sign Languages [PDF]
Since the 1990s, the field of sign language typology has shown that sign languages exhibit typological variation at all relevant levels of linguistic description. These initial typological comparisons were heavily skewed toward the urban sign languages of developed countries, mostly in the Western world.
de Vos, C., Pfau, R.
openaire +5 more sources
Cross-signing—the emergence of an interlanguage between users of different sign languages—offers a rare chance to examine the evolution of a natural communication system in real time. To provide an insight into this process, we analyse an annotated video
Kang-Suk Byun+6 more
doaj +1 more source
Sign language recognition, especially the sentence recognition, is of great significance for lowering the communication barrier between the hearing/speech impaired and the non-signers.
Feng Wen+3 more
semanticscholar +1 more source
Sign Language Recognition for Arabic Alphabets Using Transfer Learning Technique
Sign language is essential for deaf and mute people to communicate with normal people and themselves. As ordinary people tend to ignore the importance of sign language, which is the mere source of communication for the deaf and the mute communities ...
Mohammed Zakariah+4 more
semanticscholar +1 more source
Metaphor in Sign Languages [PDF]
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. In this paper we explore some of the ways in which metaphors in sign languages differ from metaphors in spoken languages.
Irit Meir, Irit Meir, Ariel Cohen
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Second language learning of depiction in a different modality: The case of sign language acquisition
This study investigated the acquisition of depicting signs (DS) among students learning a signed language as their second-modality and second-language (M2L2) language. Depicting signs, broadly described, illustrate actions and states.
Kim B. Kurz+2 more
doaj +1 more source
Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition [PDF]
Despite the recent success of deep learning in continuous sign language recognition (CSLR), deep models typically focus on the most discriminative features, ignoring other potentially non-trivial and informative contents.
Hao Zhou+3 more
semanticscholar +1 more source
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
semanticscholar +1 more source
Well‐being on supportive techniques in amyotrophic lateral sclerosis: from neurologists' perspective
Abstract Objective To investigate intercultural neurologists' perception of well‐being in patients with amyotrophic lateral sclerosis (ALS) using gastrostomy (PEG), non‐invasive, and/or invasive ventilation (NIV/IV) and to analyse the determinants and impact on the management of the above medical interventions (MIs).
Krzysztof Barć+7 more
wiley +1 more source
Survey of Sign Language Recognition and Translation [PDF]
Different from spoken languages, sign language is mainly composed of continuous gestures. Sign langu-age recognition and translation are important means of facilitating barrier-free communication between the hearing-impaired and the hearing person.
YAN Siyi, XUE Wanli, YUAN Tiantian
doaj +1 more source