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Artificial Intelligence Technologies for Sign Language
Sensors, 2021 AI technologies can play an important role in breaking down the communication barriers of deaf or hearing-impaired people with other communities, contributing significantly to their social inclusion.
Ilias Papastratis +4 more
doaj +2 more sources
The first signs of language: Phonological development in British sign language [PDF]
Applied Psycholinguistics, 2007 A total of 1018 signs in one deaf child’s naturalistic interaction with her deaf mother, between the ages 19-24 months were analysed. This study summarises regular modification processes in the phonology of the child sign’s handshape, location, movement ...
Barrett-Jones, S. +2 more
core +5 more sources
Neural Sign Language Translation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Sign Language Recognition (SLR) has been an active research field for the last two decades. However, most research to date has considered SLR as a naive gesture recognition problem.
Necati Cihan Camgöz +4 more
semanticscholar +5 more sources
Neurology of Sign Language [PDF]
Pediatric Neurology Briefs, 2004 The neurology of American Sign Language, which originated from French signing about 200 years ago, is reviewed by a pediatric neurologist in the UK.
J Gordon Millichap
openalex +4 more sources
Sign language images dataset from Mexican sign language
Data in BriefSign language is a complete language with its own grammatical rules, akin to any spoken language used worldwide. It comprises two main components: static words and ideograms.
Josué Espejel +3 more
doaj +3 more sources
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
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
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
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