@inproceedings{shterionov-etal-2024-signon,
title = "{S}ign{ON} {--} a Co-creative Machine Translation for Sign and Spoken Languages (end-of-project results, contributions and lessons learned)",
author = "Shterionov, Dimitar and
Vandeghinste, Vincent and
Sisto, Mirella and
Brady, Aoife and
De Coster, Mathieu and
Leeson, Lorraine and
Way, Andy and
Blat, Josep and
Picron, Frankie and
Landuyt, Davy and
Scipioni, Marcello and
Parikh, Aditya and
Bosch, Louis and
O{'}Flaherty, John and
Dambre, Joni and
Brosens, Caro and
Rijckaert, Jorn and
Ubieto, V{\'\i}ctor and
Vanroy, Bram and
Gomez, Santiago and
Schuurman, Ineke and
Labaka, Gorka and
N{\'u}{\~n}ez-Marcos, Adri{\'a}n and
Murtagh, Irene and
McGill, Euan and
Saggion, Horacio",
editor = "Scarton, Carolina and
Prescott, Charlotte and
Bayliss, Chris and
Oakley, Chris and
Wright, Joanna and
Wrigley, Stuart and
Song, Xingyi and
Gow-Smith, Edward and
Forcada, Mikel and
Moniz, Helena",
booktitle = "Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2)",
month = jun,
year = "2024",
address = "Sheffield, UK",
publisher = "European Association for Machine Translation (EAMT)",
url = "https://aclanthology.org/2024.eamt-2.25",
pages = "49--50",
abstract = "SignON, a 3-year Horizon 20202 project addressing the lack of technology and services for MT between sign languages (SLs) and spoken languages (SpLs) ended in December 2023. SignON was unprecedented. Not only it addressed the wider complexity of the aforementioned problem {--} from research and development of recognition, translation and synthesis, through development of easy-to-use mobile applications and a cloud-based framework to do the {``}heavy lifting{''} as well as to establishing ethical, privacy and inclusivenesspolicies and operation guidelines {--} but also engaged with the deaf and hard of hearing communities in an effective co-creation approach where these main stakeholders drove the development in the right direction and had the final say.Currently we are witnessing advances in natural language processing for SLs, including MT. SignON was one of the largest projects that contributed to this surge with 17 partners and more than 60 consortium members, working in parallel with other international and European initiatives, such as project EASIER and others.",
}
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<namePart type="given">Louis</namePart>
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<name type="personal">
<namePart type="given">John</namePart>
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<title>Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2)</title>
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<namePart type="given">Carolina</namePart>
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<abstract>SignON, a 3-year Horizon 20202 project addressing the lack of technology and services for MT between sign languages (SLs) and spoken languages (SpLs) ended in December 2023. SignON was unprecedented. Not only it addressed the wider complexity of the aforementioned problem – from research and development of recognition, translation and synthesis, through development of easy-to-use mobile applications and a cloud-based framework to do the “heavy lifting” as well as to establishing ethical, privacy and inclusivenesspolicies and operation guidelines – but also engaged with the deaf and hard of hearing communities in an effective co-creation approach where these main stakeholders drove the development in the right direction and had the final say.Currently we are witnessing advances in natural language processing for SLs, including MT. SignON was one of the largest projects that contributed to this surge with 17 partners and more than 60 consortium members, working in parallel with other international and European initiatives, such as project EASIER and others.</abstract>
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%0 Conference Proceedings
%T SignON – a Co-creative Machine Translation for Sign and Spoken Languages (end-of-project results, contributions and lessons learned)
%A Shterionov, Dimitar
%A Vandeghinste, Vincent
%A Sisto, Mirella
%A Brady, Aoife
%A De Coster, Mathieu
%A Leeson, Lorraine
%A Way, Andy
%A Blat, Josep
%A Picron, Frankie
%A Landuyt, Davy
%A Scipioni, Marcello
%A Parikh, Aditya
%A Bosch, Louis
%A O’Flaherty, John
%A Dambre, Joni
%A Brosens, Caro
%A Rijckaert, Jorn
%A Ubieto, Víctor
%A Vanroy, Bram
%A Gomez, Santiago
%A Schuurman, Ineke
%A Labaka, Gorka
%A Núñez-Marcos, Adrián
%A Murtagh, Irene
%A McGill, Euan
%A Saggion, Horacio
%Y Scarton, Carolina
%Y Prescott, Charlotte
%Y Bayliss, Chris
%Y Oakley, Chris
%Y Wright, Joanna
%Y Wrigley, Stuart
%Y Song, Xingyi
%Y Gow-Smith, Edward
%Y Forcada, Mikel
%Y Moniz, Helena
%S Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2)
%D 2024
%8 June
%I European Association for Machine Translation (EAMT)
%C Sheffield, UK
%F shterionov-etal-2024-signon
%X SignON, a 3-year Horizon 20202 project addressing the lack of technology and services for MT between sign languages (SLs) and spoken languages (SpLs) ended in December 2023. SignON was unprecedented. Not only it addressed the wider complexity of the aforementioned problem – from research and development of recognition, translation and synthesis, through development of easy-to-use mobile applications and a cloud-based framework to do the “heavy lifting” as well as to establishing ethical, privacy and inclusivenesspolicies and operation guidelines – but also engaged with the deaf and hard of hearing communities in an effective co-creation approach where these main stakeholders drove the development in the right direction and had the final say.Currently we are witnessing advances in natural language processing for SLs, including MT. SignON was one of the largest projects that contributed to this surge with 17 partners and more than 60 consortium members, working in parallel with other international and European initiatives, such as project EASIER and others.
%U https://aclanthology.org/2024.eamt-2.25
%P 49-50
Markdown (Informal)
[SignON – a Co-creative Machine Translation for Sign and Spoken Languages (end-of-project results, contributions and lessons learned)](https://aclanthology.org/2024.eamt-2.25) (Shterionov et al., EAMT 2024)
ACL
- Dimitar Shterionov, Vincent Vandeghinste, Mirella Sisto, Aoife Brady, Mathieu De Coster, Lorraine Leeson, Andy Way, Josep Blat, Frankie Picron, Davy Landuyt, Marcello Scipioni, Aditya Parikh, Louis Bosch, John O’Flaherty, Joni Dambre, Caro Brosens, Jorn Rijckaert, Víctor Ubieto, Bram Vanroy, et al.. 2024. SignON – a Co-creative Machine Translation for Sign and Spoken Languages (end-of-project results, contributions and lessons learned). In Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), pages 49–50, Sheffield, UK. European Association for Machine Translation (EAMT).