@inproceedings{bago-etal-2022-achievements,
title = "Achievements of the {PRINCIPLE} Project: Promoting {MT} for {C}roatian, {I}celandic, {I}rish and {N}orwegian",
author = "Bago, Petra and
Castilho, Sheila and
Dunne, Jane and
Gaspari, Federico and
K, Andre and
Kristmannsson, Gauti and
Olsen, Jon Arild and
Resende, Natalia and
G{\'\i}slason, N{\'\i}els R{\'u}nar and
Sheridan, Dana D. and
Sheridan, P{\'a}raic and
Tinsley, John and
Way, Andy",
booktitle = "Proceedings of the 23rd Annual Conference of the European Association for Machine Translation",
month = jun,
year = "2022",
address = "Ghent, Belgium",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2022.eamt-1.64",
pages = "349--350",
abstract = "This paper provides an overview of the main achievements of the completed PRINCIPLE project, a 2-year action funded by the European Commission under the Connecting Europe Facility (CEF) programme. PRINCIPLE focused on collecting high-quality language resources for Croatian, Icelandic, Irish and Norwegian, which are severely low-resource languages, especially for building effective machine translation (MT) systems. We report the achievements of the project, primarily, in terms of the large amounts of data collected for all four low-resource languages and of promoting the uptake of neural MT (NMT) for these languages.",
}
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<abstract>This paper provides an overview of the main achievements of the completed PRINCIPLE project, a 2-year action funded by the European Commission under the Connecting Europe Facility (CEF) programme. PRINCIPLE focused on collecting high-quality language resources for Croatian, Icelandic, Irish and Norwegian, which are severely low-resource languages, especially for building effective machine translation (MT) systems. We report the achievements of the project, primarily, in terms of the large amounts of data collected for all four low-resource languages and of promoting the uptake of neural MT (NMT) for these languages.</abstract>
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%0 Conference Proceedings
%T Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian
%A Bago, Petra
%A Castilho, Sheila
%A Dunne, Jane
%A Gaspari, Federico
%A K, Andre
%A Kristmannsson, Gauti
%A Olsen, Jon Arild
%A Resende, Natalia
%A Gíslason, Níels Rúnar
%A Sheridan, Dana D.
%A Sheridan, Páraic
%A Tinsley, John
%A Way, Andy
%S Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
%D 2022
%8 June
%I European Association for Machine Translation
%C Ghent, Belgium
%F bago-etal-2022-achievements
%X This paper provides an overview of the main achievements of the completed PRINCIPLE project, a 2-year action funded by the European Commission under the Connecting Europe Facility (CEF) programme. PRINCIPLE focused on collecting high-quality language resources for Croatian, Icelandic, Irish and Norwegian, which are severely low-resource languages, especially for building effective machine translation (MT) systems. We report the achievements of the project, primarily, in terms of the large amounts of data collected for all four low-resource languages and of promoting the uptake of neural MT (NMT) for these languages.
%U https://aclanthology.org/2022.eamt-1.64
%P 349-350
Markdown (Informal)
[Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian](https://aclanthology.org/2022.eamt-1.64) (Bago et al., EAMT 2022)
ACL
- Petra Bago, Sheila Castilho, Jane Dunne, Federico Gaspari, Andre K, Gauti Kristmannsson, Jon Arild Olsen, Natalia Resende, Níels Rúnar Gíslason, Dana D. Sheridan, Páraic Sheridan, John Tinsley, and Andy Way. 2022. Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 349–350, Ghent, Belgium. European Association for Machine Translation.