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The development of complex verb constructions in British Sign Language [PDF]
, 2002 This study focuses on the mapping of events onto verb-argument structures in British Sign Language (BSL). The development of complex sentences in BSL is described in a group of 30 children, aged 3;2–12;0, using data from comprehension measures and ...
Gary Morgan, R. Herman, Bencie Woll
openalex +3 more sources
SignBERT+: Hand-Model-Aware Self-Supervised Pre-Training for Sign Language Understanding [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Hand gesture serves as a crucial role during the expression of sign language. Current deep learning based methods for sign language understanding (SLU) are prone to over-fitting due to insufficient sign data resource and suffer limited interpretability ...
Hezhen Hu +3 more
semanticscholar +1 more source
Continuous Sign Language Recognition with Correlation Network [PDF]
Computer Vision and Pattern Recognition, 2023 Human body trajectories are a salient cue to identify actions in the video. Such body trajectories are mainly conveyed by hands and face across consecutive frames in sign language.
Lianyu Hu +3 more
semanticscholar +1 more source
Natural Language-Assisted Sign Language Recognition [PDF]
Computer Vision and Pattern Recognition, 2023 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
semanticscholar +1 more source
Gloss Attention for Gloss-free Sign Language Translation [PDF]
Computer Vision and Pattern Recognition, 2023 Most sign language translation (SLT) methods to date require the use of gloss annotations to provide additional supervision information, however, the acquisition of gloss is not easy. To solve this problem, we first perform an analysis of existing models
Aoxiong Yin +5 more
semanticscholar +1 more source
Two-Stream Network for Sign Language Recognition and Translation [PDF]
Neural Information Processing Systems, 2022 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
semanticscholar +1 more source
Improving Sign Language Translation with Monolingual Data by Sign Back-Translation [PDF]
Computer Vision and Pattern Recognition, 2021 Despite existing pioneering works on sign language translation (SLT), there is a non-trivial obstacle, i.e., the limited quantity of parallel sign-text data.
Hao Zhou +4 more
semanticscholar +1 more source
Visual Alignment Constraint for Continuous Sign Language Recognition [PDF]
IEEE International Conference on Computer Vision, 2021 Vision-based Continuous Sign Language Recognition (CSLR) aims to recognize unsegmented signs from image streams. Overfitting is one of the most critical problems in CSLR training, and previous works show that the iterative training scheme can partially ...
Yuecong Min +3 more
semanticscholar +1 more source
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
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