Results 1 to 10 of about 5,599,430 (402)
LSA64: An Argentinian Sign Language Dataset [PDF]
arXiv, 2023 Automatic sign language recognition is a research area that encompasses human-computer interaction, computer vision and machine learning. Robust automatic recognition of sign language could assist in the translation process and the integration of hearing-impaired people, as well as the teaching of sign language to the hearing population. Sign languages
Franco Ronchetti +4 more
arxiv +2 more sources
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
Sign Language Motion Generation from Sign Characteristics [PDF]
Sensors, 2023 This paper proposes, analyzes, and evaluates a deep learning architecture based on transformers for generating sign language motion from sign phonemes (represented using HamNoSys: a notation system developed at the University of Hamburg).
Manuel Gil-Martín +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 +4 more sources
Genetic relatedness of Tunisian Sign Language and French Sign Language
Frontiers in Communication, 2023 This article constitutes the first cognate study aiming at the verification of the genetic link between LSF (French Sign Language) and LST (Tunisian Sign Language) through a lexicostatistical analysis of both sign languages (SLs).
Aymen Nefaa
doaj +3 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
openaire +4 more sources
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