GoURMET – Machine Translation for Low-Resourced Languages
Peggy van der Kreeft, Alexandra Birch, Sevi Sariisik, Felipe Sánchez-Martínez, Wilker Aziz
Correct Metadata for
Abstract
The GoURMET project, funded by the European Commission’s H2020 program (under grant agreement 825299), develops models for machine translation, in particular for low-resourced languages. Data, models and software releases as well as the GoURMET Translate Tool are made available as open source.- Anthology ID:
- 2022.eamt-1.59
- 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:
- 339–340
- Language:
- URL:
- https://aclanthology.org/2022.eamt-1.59/
- DOI:
- Bibkey:
- Cite (ACL):
- Peggy van der Kreeft, Alexandra Birch, Sevi Sariisik, Felipe Sánchez-Martínez, and Wilker Aziz. 2022. GoURMET – Machine Translation for Low-Resourced Languages. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 339–340, Ghent, Belgium. European Association for Machine Translation.
- Cite (Informal):
- GoURMET – Machine Translation for Low-Resourced Languages (van der Kreeft et al., EAMT 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.eamt-1.59.pdf
Export citation
@inproceedings{van-der-kreeft-etal-2022-gourmet,
title = "{G}o{URMET} {--} Machine Translation for Low-Resourced Languages",
author = "van der Kreeft, Peggy and
Birch, Alexandra and
Sariisik, Sevi and
S{\'a}nchez-Mart{\'i}nez, Felipe and
Aziz, Wilker",
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-1.59/",
pages = "339--340",
abstract = "The GoURMET project, funded by the European Commission`s H2020 program (under grant agreement 825299), develops models for machine translation, in particular for low-resourced languages. Data, models and software releases as well as the GoURMET Translate Tool are made available as open source."
}
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%0 Conference Proceedings %T GoURMET – Machine Translation for Low-Resourced Languages %A van der Kreeft, Peggy %A Birch, Alexandra %A Sariisik, Sevi %A Sánchez-Martínez, Felipe %A Aziz, Wilker %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 van-der-kreeft-etal-2022-gourmet %X The GoURMET project, funded by the European Commission‘s H2020 program (under grant agreement 825299), develops models for machine translation, in particular for low-resourced languages. Data, models and software releases as well as the GoURMET Translate Tool are made available as open source. %U https://aclanthology.org/2022.eamt-1.59/ %P 339-340
Markdown (Informal)
[GoURMET – Machine Translation for Low-Resourced Languages](https://aclanthology.org/2022.eamt-1.59/) (van der Kreeft et al., EAMT 2022)
- GoURMET – Machine Translation for Low-Resourced Languages (van der Kreeft et al., EAMT 2022)
ACL
- Peggy van der Kreeft, Alexandra Birch, Sevi Sariisik, Felipe Sánchez-Martínez, and Wilker Aziz. 2022. GoURMET – Machine Translation for Low-Resourced Languages. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 339–340, Ghent, Belgium. European Association for Machine Translation.