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Computational sign language research lacks the large-scale datasets that enables the creation of useful reallife applications.
The Linguistics of British Sign Language: An Introduction
R. Sutton-Spence and B. Woll · 1999
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The Hands are the Head of the Mouth: The Mouth as Articulator in Sign Languages
P. Boyes-Braem and R. Sutton-Spence · 2001
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BLEU: A Method for Automatic Evaluation of Machine Translation
K. Papineni, S. Roukos, T. Ward, and W.-J. Zhu · 2002
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ROUGE: A Package for Automatic Evaluation of Summaries
C.-Y. Lin · 2004
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ELAN: A Professional Framework for Multimodality Research
P. Wittenburg, H. Brugman, A. Russel, A. Klassmann, and H. Sloetjes · 2006
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Sign Language Recognition using Boosted Volumetric Features
H. Cooper and R. Bowden · 2007
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SignTutor: An Interactive System for Sign Language Tutoring
O. Aran, I. Ari, L. Akarun, B. Sankur, A. Benoit, A. Caplier, P. Campr, A. H. Carrillo, and F.-X. Fanard · 2009
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Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition
H. Cooper and R. Bowden · 2009
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Understanding the Difficulty of Training Deep Feedforward Neural Networks
X. Glorot and Y. Bengio · 2010
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DGS Corpus & Dicta-Sign: The Hamburg Studio Setup
T. Hanke, L. König, S. Wagner, and S. Matthes · 2010
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American Sign Language Recognition with the Kinect
Z. Zafrulla, H. Brashear, T. Starner, H. Hamilton, and P. Presti · 2011
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RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus
J. Forster, C. Schmidt, T. Hoyoux, O. Koller, U. Zelle, J. H. Piater, and H. Ney · 2012
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Automatic and Efficient Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts
T. Pfister, J. Charles, M. Everingham, and A. Zisserman · 2012
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Building the British Sign Language Corpus
A. Schembri, J. Fenlon, R. Rentelis, S. Reynolds, and K. Cormier · 2013
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The DEVISIGN Large Vocabulary of Chinese Sign Language Database and Baseline Evaluations
X. Chai, H. Wang, and X. Chen · 2014
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Extensions of the Sign Language Recognition and Translation Corpus RWTH-PHOENIX-Weather
J. Forster, C. Schmidt, O. Koller, M. Bellgardt, and H. Ney · 2014
Cited alongside, same era.
Adam: A Method for Stochastic Optimization
D. P. Kingma and J. Ba · 2014
Cited alongside, same era.
Continuous Sign Language Recognition: Towards Large Vocabulary Statistical Recognition Systems Handling Multiple Signers
O. Koller, J. Forster, and H. Ney · 2015
Cited alongside, same era.
Sign Language Recognition for Assisting the Deaf in Hospitals
N. C. Camgoz, A. A. Kindiroglu, and L. Akarun · 2016
Cited alongside, same era.
BosphorusSign: A Turkish Sign Language Recognition Corpus in Health and Finance Domains
N. C. Camgoz, A. A. Kindiroglu, S. Karabuklu, M. Kelepir, A. S. Ozsoy, and L. Akarun · 2016
Cited alongside, same era.
Google’s Neural Machine Translation System: Bridging the Gap Between Human and Machine Translation
MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language
H. R. V. Joze and O. Koller · 2019
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Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos
O. Koller, N. C. Camgoz, R. Bowden, and H. Ney · 2019
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Iterative Alignment Network for Continuous Sign Language Recognition
J. Pu, W. Zhou, and H. Li · 2019
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Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency
G. Rochette, C. Russell, and R. Bowden · 2019
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HMM-based Approaches to Model Multichannel Information in Sign Language Inspired from Articulatory Features-based Speech Processing
S. Tornay, M. Razavi, N. C. Camgoz, R. Bowden, and M. Magimai-Doss · 2019
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Y. Wu, M. Schuster, Z. Chen, Q. V. Le, M. Norouzi, W. Macherey, et al · 2016
Cited alongside, same era.
SubUNets: End-to-end Hand Shape and Continuous Sign Language Recognition
N. C. Camgoz, S. Hadfield, O. Koller, and R. Bowden · 2017
Cited alongside, same era.
Attention is All You Need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
Cited alongside, same era.
Neural Sign Language Translation
N. C. Camgoz, S. Hadfield, O. Koller, H. Ney, and R. Bowden · 2018
Cited alongside, same era.
SMILE Swiss German Sign Language Dataset
S. Ebling, N. C. Camgoz, P. B. Braem, K. Tissi, S. Sidler-Miserez, S. Stoll, S. Hadfield, T. Haug, R. Bowden, S. Tornay, M. Razavi, and M. Magimai-Doss · 2018
Cited alongside, same era.
Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective
D. Bragg, O. Koller, M. Bellard, L. Berke, P. Boudrealt, et al · 2019
Cited alongside, same era.
ExTOL: Automatic recognition of British Sign Language using the BSL Corpus
K. Cormier, N. Fox, B. Woll, A. Zisserman, N. Camgoz, and R. Bowden · 2019
Cited alongside, same era.
A Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition
N. Adaloglou, T. Chatzis, I. Papastratis, A. Stergioulas, et al · 2020
Later among the works it cites.
Multi-channel Transformers for Multi-articulatory Sign Language Translation
N. C. Camgoz, O. Koller, S. Hadfield, and R. Bowden · 2020
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Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation
N. C. Camgoz, O. Koller, S. Hadfield, and R. Bowden · 2020
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Quantitative Survey of the State-of-the-art in Sign Language Recognition
O. Koller · 2020
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SL-ReDu: Greek sign language recognition for educational applications. Project description and early results
G. Potamianos, K. Papadimitriou, E. Efthimiou, S.-E. Fotinea, G. Sapountzaki, and P. Maragos · 2020
Later among the works it cites.
Adversarial Training for Multi-Channel Sign Language Production
B. Saunders, N. C. Camgoz, and R. Bowden · 2020
Later among the works it cites.
Progressive Transformers for End-to-End Sign Language Production
B. Saunders, N. C. Camgoz, and R. Bowden · 2020
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Better Sign Language Translation with STMC-Transformer
K. Yin and J. Read · 2020
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Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition
H. Zhou, W. Zhou, Y. Zhou, and H. Li · 2020
Later among the works it cites.