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Automatic sign language processing is gaining popularity in Natural Language Processing (NLP) research (Yin et al., 2021).
Extensions of the sign language recognition and translation corpus RWTH-PHOENIX-weather
Jens Forster, Christoph Schmidt, Oscar Koller, Martin Bellgardt, and Hermann Ney. 2014 · 1916
Earlier work this paper cites.
Space in Danish Sign Language: The Semantics and Morphosyntax of the Use of Space in a Visual Language
Elisabeth Engberg-Pedersen. 1993 · 1993
Earlier work this paper cites.
The development of complex sentences in British Sign Language
Gary Morgan and Bencie Woll. 2002 · 2002
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Representing signed languages in written form: Questions that need to be posed
Elena Antinoro Pizzuto, Paolo Rossini, and Tommaso Russo. 2006 · 2006
Earlier work this paper cites.
Mnist handwritten digit database
Yann LeCun, Corinna Cortes, and CJ Burges. 2010 · 2010
Earlier work this paper cites.
Sign Language in Action
Jemina Napier and Lorraine Leeson. 2016 · 2016
Earlier work this paper cites.
chrF deconstructed: beta parameters and n-gram weights
Maja Popović. 2016 · 2016
Earlier work this paper cites.
Stronger baselines for trustable results in neural machine translation
Michael Denkowski and Graham Neubig. 2017 · 2017
Earlier work this paper cites.
Innovations in Deaf Studies: Critically Mapping the Field
Annelies Maria Jozef Kusters, Dai O’Brien, and Maartje De Meulder. 2017 · 2017
Earlier work this paper cites.
Attention is All you Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
Evaluating discourse phenomena in neural machine translation
Rachel Bawden, Rico Sennrich, Alexandra Birch, and Barry Haddow. 2018 · 2018
Earlier work this paper cites.
Neural sign language translation
Necati Cihan Camgöz, Simon Hadfield, Oscar Koller, Hermann Ney, and Richard Bowden. 2018 · 2018
Cited alongside, same era.
A large-scale test set for the evaluation of context-aware pronoun translation in neural machine translation
Mathias Müller, Annette Rios, Elena Voita, and Rico Sennrich. 2018 · 2018
Cited alongside, same era.
A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
Cited alongside, same era.
Sign language production using neural machine translation and generative adversarial networks
Stephanie Stoll, Necati Cihan Camgöz, Simon Hadfield, and Richard Bowden. 2018 · 2018
Cited alongside, same era.
A call for prudent choice of subword merge operations in neural machine translation
Shuoyang Ding, Adithya Renduchintala, and Kevin Duh. 2019 · 2019
Cited alongside, same era.
Syntax-aware transformers for neural machine translation: The case of text to sign gloss translation
Santiago Egea Gómez, Euan McGill, and Horacio Saggion. 2021 · 2021
Later among the works it cites.
To ship or not to ship: An extensive evaluation of automatic metrics for machine translation
Tom Kocmi, Christian Federmann, Roman Grundkiewicz, Marcin Junczys-Dowmunt, Hitokazu Matsushita, and Arul Menezes. 2021 · 2021
Later among the works it cites.
Scientific credibility of machine translation research: A meta-evaluation of 769 papers
Benjamin Marie, Atsushi Fujita, and Raphael Rubino. 2021 · 2021
Later among the works it cites.
Sign Language Processing
Amit Moryossef and Yoav Goldberg. 2021 · 2021
Later among the works it cites.
Data augmentation for sign language gloss translation
Amit Moryossef, Kayo Yin, Graham Neubig, and Yoav Goldberg. 2021 · 2021
Later among the works it cites.
Including signed languages in natural language processing
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Zachary C. Lipton and Jacob Steinhardt. 2019 · 2019
Cited alongside, same era.
Revisiting low-resource neural machine translation: A case study
Rico Sennrich and Biao Zhang. 2019 · 2019
Cited alongside, same era.
Multi-channel transformers for multi-articulatory sign language translation
Necati Cihan Camgöz, Oscar Koller, Simon Hadfield, and Richard Bowden. 2020a · 2020
Cited alongside, same era.
Extending the Public DGS Corpus in size and depth
Thomas Hanke, Marc Schulder, Reiner Konrad, and Elena Jahn. 2020 · 2020
Cited alongside, same era.
Neural sign language translation by learning tokenization
Alptekin Orbay and Lale Akarun. 2020 · 2020
Cited alongside, same era.
Progressive Transformers for End-to-End Sign Language Production
Ben Saunders, Necati Cihan Camgöz, and Richard Bowden. 2020 · 2020
Cited alongside, same era.
Text2sign: towards sign language production using neural machine translation and generative adversarial networks
Stephanie Stoll, Necati Cihan Camgöz, Simon Hadfield, and Richard Bowden. 2020 · 2020
Cited alongside, same era.
Kayo Yin, Amit Moryossef, Julie Hochgesang, Yoav Goldberg, and Malihe Alikhani. 2021 · 2021
Later among the works it cites.
Approaching sign language gloss translation as a low-resource machine translation task
Xuan Zhang and Kevin Duh. 2021 · 2021
Later among the works it cites.
Using neural machine translation methods for sign language translation
Galina Angelova, Eleftherios Avramidis, and Sebastian Möller. 2022 · 2022
Closest in time.
Machine translation from signed to spoken languages: State of the art and challenges
Mathieu De Coster, Dimitar Shterionov, Mieke Van Herreweghe, and Joni Dambre. 2022 · 2022
Closest in time.
Public DGS Corpus: Annotation Conventions / Öffentliches DGS-Korpus: Annotationskonventionen
Reiner Konrad, Thomas Hanke, Gabriele Langer, Susanne König, Lutz König, Rie Nishio, and Anja Regen. 2022 · 2022
Closest in time.
Specification for the harmonization of sign language annotations
Maria Kopf, Marc Schulder, Thomas Hanke, and Sam Bigeard. 2022 · 2022
Closest in time.
Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production
Ben Saunders, Necati Cihan Camgöz, and Richard Bowden. 2022 · 2022
Closest in time.
Changing the representation: Examining language representation for neural sign language production
Harry Walsh, Ben Saunders, and Richard Bowden. 2022 · 2022
Closest in time.