Including signed languages in natural language processing
Signed languages are the primary means of communication for many deaf and hard of
hearing individuals. Since signed languages exhibit all the fundamental linguistic properties …
hearing individuals. Since signed languages exhibit all the fundamental linguistic properties …
Findings of the first wmt shared task on sign language translation (wmt-slt22)
This paper presents the results of the First WMT Shared Task on Sign Language Translation
(WMT-SLT22). This shared task is concerned with automatic translation between signed and …
(WMT-SLT22). This shared task is concerned with automatic translation between signed and …
Considerations for meaningful sign language machine translation based on glosses
Automatic sign language processing is gaining popularity in Natural Language Processing
(NLP) research (Yin et al., 2021). In machine translation (MT) in particular, sign language …
(NLP) research (Yin et al., 2021). In machine translation (MT) in particular, sign language …
Findings of the second WMT shared task on sign language translation (WMT-SLT23)
This paper presents the results of the Second WMT Shared Task on Sign Language
Translation (WMT-SLT23) 1. This shared task is concerned with automatic translation …
Translation (WMT-SLT23) 1. This shared task is concerned with automatic translation …
The sign language dataset compendium: Creating an overview of digital linguistic resources
M Kopf, M Schulder, T Hanke - Proceedings of the LREC2022 …, 2022 - aclanthology.org
One of the challenges that sign language researchers face is the identification of suitable
language datasets, particularly for cross-lingual studies. There is no single source of …
language datasets, particularly for cross-lingual studies. There is no single source of …
Sharing practices for datasets related to accessibility and aging
Datasets sourced from people with disabilities and older adults play an important role in
innovation, benchmarking, and mitigating bias for both assistive and inclusive AI-infused …
innovation, benchmarking, and mitigating bias for both assistive and inclusive AI-infused …
The American Sign Language Knowledge Graph: Infusing ASL Models with Linguistic Knowledge
Language models for American Sign Language (ASL) could make language technologies
substantially more accessible to those who sign. To train models on tasks such as isolated …
substantially more accessible to those who sign. To train models on tasks such as isolated …
Real-Time Multilingual Sign Language Processing
A Moryossef - arXiv preprint arXiv:2412.01991, 2024 - arxiv.org
Sign Language Processing (SLP) is an interdisciplinary field comprised of Natural
Language Processing (NLP) and Computer Vision. It is focused on the computational …
Language Processing (NLP) and Computer Vision. It is focused on the computational …
Distractor-based evaluation of sign spotting
N Hollain, M Larson, F Roelofsen - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Sign spotting is a subtask of sign language processing in which we determine when a given
target sign occurs in a given sign sequence. This paper proposes a method for evaluating …
target sign occurs in a given sign sequence. This paper proposes a method for evaluating …
An Open-Source American Sign Language Fingerspell Recognition and Semantic Pose Retrieval Interface
KJ Thomas - arXiv preprint arXiv:2408.09311, 2024 - arxiv.org
This paper introduces an open-source interface for American Sign Language fingerspell
recognition and semantic pose retrieval, aimed to serve as a stepping stone towards more …
recognition and semantic pose retrieval, aimed to serve as a stepping stone towards more …