Níels Rúnar Gíslason


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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
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation

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.