Pre-trained language models for text generation: A survey
Text Generation aims to produce plausible and readable text in human language from input
data. The resurgence of deep learning has greatly advanced this field, in particular, with the …
data. The resurgence of deep learning has greatly advanced this field, in particular, with the …
Sign language transformers: Joint end-to-end sign language recognition and translation
Abstract Prior work on Sign Language Translation has shown that having a mid-level sign
gloss representation (effectively recognizing the individual signs) improves the translation …
gloss representation (effectively recognizing the individual signs) improves the translation …
Participatory research for low-resourced machine translation: A case study in african languages
W Nekoto, V Marivate, T Matsila, T Fasubaa… - arxiv preprint arxiv …, 2020 - arxiv.org
Research in NLP lacks geographic diversity, and the question of how NLP can be scaled to
low-resourced languages has not yet been adequately solved." Low-resourced"-ness is a …
low-resourced languages has not yet been adequately solved." Low-resourced"-ness is a …
Multi-channel transformers for multi-articulatory sign language translation
Sign languages use multiple asynchronous information channels (articulators), not just the
hands but also the face and body, which computational approaches often ignore. In this …
hands but also the face and body, which computational approaches often ignore. In this …
Gloss attention for gloss-free sign language translation
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 …
provide additional supervision information, however, the acquisition of gloss is not easy. To …
Signing at scale: Learning to co-articulate signs for large-scale photo-realistic sign language production
Sign languages are visual languages, with vocabularies as rich as their spoken language
counterparts. However, current deep-learning based Sign Language Production (SLP) …
counterparts. However, current deep-learning based Sign Language Production (SLP) …
Progressive transformers for end-to-end sign language production
The goal of automatic Sign Language Production (SLP) is to translate spoken language to a
continuous stream of sign language video at a level comparable to a human translator. If this …
continuous stream of sign language video at a level comparable to a human translator. If this …
Continuous 3d multi-channel sign language production via progressive transformers and mixture density networks
Sign languages are multi-channel visual languages, where signers use a continuous 3D
space to communicate. Sign language production (SLP), the automatic translation from …
space to communicate. Sign language production (SLP), the automatic translation from …
Stochastic transformer networks with linear competing units: Application to end-to-end sl translation
Automating sign language translation (SLT) is a challenging real-world application. Despite
its societal importance, though, research progress in the field remains rather poor. Crucially …
its societal importance, though, research progress in the field remains rather poor. Crucially …
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 …