Results 11 to 20 of about 5,856,489 (275)
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
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A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation [PDF]
Computer Vision and Pattern Recognition, 2022 This paper proposes a simple transfer learning baseline for sign language translation. Existing sign language datasets (e.g. PHOENIX-2014T, CSL-Daily) contain only about 10 K-20K pairs of sign videos, gloss annotations and texts, which are an order of ...
Yutong Chen +4 more
semanticscholar +1 more source
Korean Sign Language Recognition Using Transformer-Based Deep Neural Network
Applied Sciences, 2023 Sign language recognition (SLR) is one of the crucial applications of the hand gesture recognition and computer vision research domain. There are many researchers who have been working to develop a hand gesture-based SLR application for English, Turkey ...
Jungpil Shin +6 more
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
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
SIGNFORMER: DeepVision Transformer for Sign Language Recognition
IEEE Access, 2023 Sign language is the most common form of communication for the hearing impaired. To bridge the communication gap with such impaired people, a normal people should be able to recognize the signs.
Deep R. Kothadiya +4 more
semanticscholar +1 more source
Mathematics, 2023 A speech impairment limits a person’s capacity for oral and auditory communication. A great improvement in communication between the deaf and the general public would be represented by a real-time sign language detector.
Ahmed Mateen Buttar +5 more
semanticscholar +1 more source
Frontiers in Communication, 2022 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 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
Second language learning of depiction in a different modality: The case of sign language acquisition
Frontiers in Communication, 2023 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