Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian

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, Andy Way


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.
Anthology ID:
2022.eamt-1.64
Volume:
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
Month:
June
Year:
2022
Address:
Ghent, Belgium
Venue:
EAMT
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Publisher:
European Association for Machine Translation
Note:
Pages:
349–350
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URL:
https://aclanthology.org/2022.eamt-1.64
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Cite (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.
Cite (Informal):
Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian (Bago et al., EAMT 2022)
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https://preview.aclanthology.org/remove-xml-comments/2022.eamt-1.64.pdf