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
- Editors:
- Helena Moniz, Lieve Macken, Andrew Rufener, Loïc Barrault, Marta R. Costa-jussà, Christophe Declercq, Maarit Koponen, Ellie Kemp, Spyridon Pilos, Mikel L. Forcada, Carolina Scarton, Joachim Van den Bogaert, Joke Daems, Arda Tezcan, Bram Vanroy, Margot Fonteyne
- 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)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.eamt-1.44.pdf
Export citation
@inproceedings{bergmanis-etal-2022-mtee,
title = "{MT}ee: Open Machine Translation Platform for {E}stonian Government",
author = {Bergmanis, Toms and
Pinnis, Marcis and
Rozis, Roberts and
{\v{S}}lapi{\c{n}}{\v{s}}, J{\=a}nis and
{\v{S}}ics, Valters and
Bern{\=a}ne, Berta and
Pu{\v{z}}ulis, Guntars and
Titomers, Endijs and
T{\"a}ttar, Andre and
Purason, Taido and
Kuulmets, Hele-Andra and
Luhtaru, Agnes and
R{\"a}tsep, Liisa and
Tars, Maali and
Laumets-T{\"a}ttar, Annika and
Fishel, Mark},
editor = {Moniz, Helena and
Macken, Lieve and
Rufener, Andrew and
Barrault, Lo{\"\i}c and
Costa-juss{\`a}, Marta R. and
Declercq, Christophe and
Koponen, Maarit and
Kemp, Ellie and
Pilos, Spyridon and
Forcada, Mikel L. and
Scarton, Carolina and
Van den Bogaert, Joachim and
Daems, Joke and
Tezcan, Arda and
Vanroy, Bram and
Fonteyne, Margot},
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-1.44",
pages = "309--310",
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.",
}
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%0 Conference Proceedings %T MTee: Open Machine Translation Platform for Estonian Government %A Bergmanis, Toms %A Pinnis, Marcis %A Rozis, Roberts %A Šlapiņš, Jānis %A Šics, Valters %A Bernāne, Berta %A Pužulis, Guntars %A Titomers, Endijs %A Tättar, Andre %A Purason, Taido %A Kuulmets, Hele-Andra %A Luhtaru, Agnes %A Rätsep, Liisa %A Tars, Maali %A Laumets-Tättar, Annika %A Fishel, Mark %Y Moniz, Helena %Y Macken, Lieve %Y Rufener, Andrew %Y Barrault, Loïc %Y Costa-jussà, Marta R. %Y Declercq, Christophe %Y Koponen, Maarit %Y Kemp, Ellie %Y Pilos, Spyridon %Y Forcada, Mikel L. %Y Scarton, Carolina %Y Van den Bogaert, Joachim %Y Daems, Joke %Y Tezcan, Arda %Y Vanroy, Bram %Y Fonteyne, Margot %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 bergmanis-etal-2022-mtee %X 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. %U https://aclanthology.org/2022.eamt-1.44 %P 309-310
Markdown (Informal)
[MTee: Open Machine Translation Platform for Estonian Government](https://aclanthology.org/2022.eamt-1.44) (Bergmanis et al., EAMT 2022)
- MTee: Open Machine Translation Platform for Estonian Government (Bergmanis et al., EAMT 2022)
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.