MTee: Open Machine Translation Platform for Estonian Government

Toms Bergmanis, Marcis Pinnis, Roberts Rozis, Jānis Šlapiņš, Valters Šics, Berta Bernāne, Guntars Pužulis, Endijs Titomers, Andre Tättar, Taido Purason, Hele-Andra Kuulmets, Agnes Luhtaru, Liisa Rätsep, Maali Tars, Annika Laumets-Tättar, Mark Fishel


Abstract
We present the MTee project - a research initiative funded via an Estonian public procurement to develop machine translation technology that is open-source and free of charge. The MTee project delivered an open-source platform serving state-of-the-art machine translation systems supporting four domains for six language pairs translating from Estonian into English, German, and Russian and vice-versa. The platform also features grammatical error correction and speech translation for Estonian and allows for formatted document translation and automatic domain detection. The software, data and training workflows for machine translation engines are all made publicly available for further use and research.
Anthology ID:
2022.eamt-1.44
Volume:
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
Month:
June
Year:
2022
Address:
Ghent, Belgium
Venue:
EAMT
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
309–310
Language:
URL:
https://aclanthology.org/2022.eamt-1.44
DOI:
Bibkey:
Cite (ACL):
Toms Bergmanis, Marcis Pinnis, Roberts Rozis, Jānis Šlapiņš, Valters Šics, Berta Bernāne, Guntars Pužulis, Endijs Titomers, Andre Tättar, Taido Purason, Hele-Andra Kuulmets, Agnes Luhtaru, Liisa Rätsep, Maali Tars, Annika Laumets-Tättar, and Mark Fishel. 2022. MTee: Open Machine Translation Platform for Estonian Government. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 309–310, Ghent, Belgium. European Association for Machine Translation.
Cite (Informal):
MTee: Open Machine Translation Platform for Estonian Government (Bergmanis et al., EAMT 2022)
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PDF:
https://aclanthology.org/2022.eamt-1.44.pdf