Results 11 to 20 of about 5,776,197 (400)
Skeleton Aware Multi-modal Sign Language Recognition [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 Sign language is commonly used by deaf or speech impaired people to communicate but requires significant effort to master. Sign Language Recognition (SLR) aims to bridge the gap between sign language users and others by recognizing signs from given ...
Songyao Jiang +5 more
semanticscholar +1 more source
Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production [PDF]
Computer Vision and Pattern Recognition, 2022 Sign languages are visual languages, with vocabularies as rich as their spoken language counterparts. However, current deep-learning based Sign Language Production (SLP) models produce under-articulated skeleton pose sequences from constrained ...
Ben Saunders, N. C. Camgoz, R. Bowden
semanticscholar +1 more source
Open-Domain Sign Language Translation Learned from Online Video [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 Existing work on sign language translation – that is, translation from sign language videos into sentences in a written language – has focused mainly on (1) data collected in a controlled environment or (2) data in a specific domain, which limits the ...
Bowen Shi +3 more
semanticscholar +1 more source
Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation [PDF]
Computer Vision and Pattern Recognition, 2020 Prior work on Sign Language Translation has shown that having a mid-level sign gloss representation (effectively recognizing the individual signs) improves the translation performance drastically.
Necati Cihan Camgöz +3 more
semanticscholar +1 more source
Frontiers in Communication, 2022 Functional neuroimaging allows investigation of the timing properties of the brain mechanisms underlying covert language processing. This paper presents a review of the use of the neuroimaging technique called Event-Related Potentials (ERPs) in sign ...
Doris Hernández +3 more
doaj +1 more source
Numeral Incorporation as Grammaticalization? A Corpus Study on German Sign Language (DGS)
Languages, 2023 Numeral incorporation describes the merging of a numeral sign with a lexical sign to create a single sign with a compositional meaning, e.g., “three weeks.” As a phenomenon of simultaneous morphology, numeral incorporation is unique to sign languages ...
Felicitas Otte +3 more
doaj +1 more source
Deepsign: Sign Language Detection and Recognition Using Deep Learning
Electronics, 2022 The predominant means of communication is speech; however, there are persons whose speaking or hearing abilities are impaired. Communication presents a significant barrier for persons with such disabilities.
Deep R. Kothadiya +5 more
semanticscholar +1 more source
Ambiguities in Sign Languages [PDF]
The Linguistic Review, 2015 AbstractNatural languages come in two different modalities – the aural-auditory modality of spoken languages and the visual-gestural modality of sign languages. The impact of modality on the grammatical system has been discussed at great length in the last 20 years.
Quer, Josep, Steinbach, Markus
openaire +5 more sources
Signed languages and globalization [PDF]
Language in Society, 2011 AbstractDeaf people who form part of a Deaf community communicate using a shared sign language. When meeting people from another language community, they can fall back on a flexible and highly context-dependent form of communication calledinternational sign, in which shared elements from their own sign languages and elements of shared spoken languages ...
Hiddinga, A., Crasborn, O.
openaire +4 more sources
Acquisition of Sign Languages [PDF]
Annual Review of Linguistics, 2021 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. Infants are sensitive to linguistic information provided visually, and early milestones show many parallels.
Jonathan Henner, Diane Lillo-Martin
openaire +3 more sources