Ghent University Academic Bibliography

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Machine translation from signed to spoken languages : state of the art and challenges (01 Apr, 10.1007/s10209-023-00992-1, 2023)

Mathieu De Coster (UGent) , Dimitar Shterionov, Mieke Van Herreweghe (UGent) and Joni Dambre (UGent)

(2025) UNIVERSAL ACCESS IN THE INFORMATION SOCIETY. In 24 1. p.953-957
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- Book Chapter
Sign languages as source language for machine translation : historical overview and challenges

Joni Dambre (UGent) and Mathieu De Coster (UGent)

(2024) Sign language machine translation. In Machine translation : technologies and applications 5. p.171-198
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- Journal Article
- A1
- open access
Machine translation from signed to spoken languages : state of the art and challenges

Mathieu De Coster (UGent) , Dimitar Shterionov, Mieke Van Herreweghe (UGent) and Joni Dambre (UGent)

(2024) UNIVERSAL ACCESS IN THE INFORMATION SOCIETY. 23(3). p.1305-1331
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- Conference Paper
- C1
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Trends and challenges for sign language recognition with machine learning

J. Fink, Mathieu De Coster (UGent) , Joni Dambre (UGent) and B. Frénay

(2023) ESANN 2023, 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Proceedings. p.561-570
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- Conference Paper
- C1
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SignON : sign language translation : progress and challenges

Vincent Vandeghinste, Dimitar Shterionov, Mirella De Sisto, Aoife Brady, Mathieu De Coster (UGent) , Lorraine Leeson, Josep Blat, Frankie Picron, Marcello Paolo Scipioni, Aditya Parikh, et al.

(2023) Proceedings of the 24th Annual Conference of the European Association for Machine Translation. p.501-502
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- Conference Paper
- C1
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Sign language translation : ongoing development, challenges and innovations in the SignON project

Dimitar Shterionov, Mirella De Sisto, Vincent Vandeghinste, Aoife Brady, Mathieu De Coster (UGent) , Lorraine Leeson, Josep Blat, Frankie Picron, Marcello Scipioni, Aditya Parikh, et al.

(2022) Proceedings of the 23rd Annual Conference of the European Association for Machine Translation. p.325-326
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- Conference Paper
- C3
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Progress, challenges and innovations of the SignON project

Vincent Vandeghinste, Mirella De Sisto, Dimitar Shterionov, Aoife Brady, Mathieu De Coster (UGent) , Lorraine Leeson, Josep Blat, Frankie Picron, Marcello Scipioni, Aditya Parikh, et al.

(2022) 32nd Meeting of Computational Linguistics in The Netherlands, Abstracts.
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- Conference Paper
- C3
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Attention analysis of a sign language recognition task on the AUTSL dataset

Jeanne Coppin, Mathieu De Coster (UGent) and Joni Dambre (UGent)

(2022) 32nd Meeting of Computational Linguistics in The Netherlands, Abstracts.
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- Journal Article
- A2
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BeCoS corpus : Belgian Covid-19 Sign language corpus : a corpus for training sign language recognition and translation

Vincent Vandeghinste, Bob Van Dyck, Mathieu De Coster (UGent) , Maud Goddefroy and Joni Dambre (UGent)

(2022) COMPUTATIONAL LINGUISTICS IN THE NETHERLANDS JOURNAL. 12. p.7-17
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The SignON project : a sign language translation framework

Dimitar Shterionov, Vincent Vandeghinste, Horacio Saggion, Josep Blat, Mathieu De Coster (UGent) , Joni Dambre (UGent) , Henk van den Heuvel, Irene Murtagh, Lorraine Leeson and Ineke Schuurman

(2021) 31st Meeting of Computational Linguistics in The Netherlands, Abstracts.

Academic Bibliography

Machine translation from signed to spoken languages : state of the art and challenges (01 Apr, 10.1007/s10209-023-00992-1, 2023)

Sign languages as source language for machine translation : historical overview and challenges

Machine translation from signed to spoken languages : state of the art and challenges

Trends and challenges for sign language recognition with machine learning

SignON : sign language translation : progress and challenges

Sign language translation : ongoing development, challenges and innovations in the SignON project

Progress, challenges and innovations of the SignON project

Attention analysis of a sign language recognition task on the AUTSL dataset

BeCoS corpus : Belgian Covid-19 Sign language corpus : a corpus for training sign language recognition and translation

The SignON project : a sign language translation framework

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