An English-Swahili parallel corpus and its use for neural machine translation in the news domain
Felipe Sánchez-Martínez, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Mikel L. Forcada, Miquel Esplà-Gomis, Andrew Secker, Susie Coleman, Julie Wall
Abstract
This paper describes our approach to create a neural machine translation system to translate between English and Swahili (both directions) in the news domain, as well as the process we followed to crawl the necessary parallel corpora from the Internet. We report the results of a pilot human evaluation performed by the news media organisations participating in the H2020 EU-funded project GoURMET.- Anthology ID:
- 2020.eamt-1.32
- Volume:
- Proceedings of the 22nd Annual Conference of the European Association for Machine Translation
- Month:
- November
- Year:
- 2020
- Address:
- Lisboa, Portugal
- Editors:
- André Martins, Helena Moniz, Sara Fumega, Bruno Martins, Fernando Batista, Luisa Coheur, Carla Parra, Isabel Trancoso, Marco Turchi, Arianna Bisazza, Joss Moorkens, Ana Guerberof, Mary Nurminen, Lena Marg, Mikel L. Forcada
- Venue:
- EAMT
- SIG:
- Publisher:
- European Association for Machine Translation
- Note:
- Pages:
- 299–308
- Language:
- URL:
- https://aclanthology.org/2020.eamt-1.32
- DOI:
- Bibkey:
- Cite (ACL):
- Felipe Sánchez-Martínez, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Mikel L. Forcada, Miquel Esplà-Gomis, Andrew Secker, Susie Coleman, and Julie Wall. 2020. An English-Swahili parallel corpus and its use for neural machine translation in the news domain. In Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, pages 299–308, Lisboa, Portugal. European Association for Machine Translation.
- Cite (Informal):
- An English-Swahili parallel corpus and its use for neural machine translation in the news domain (Sánchez-Martínez et al., EAMT 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.eamt-1.32.pdf
Export citation
@inproceedings{sanchez-martinez-etal-2020-english,
title = "An {E}nglish-{S}wahili parallel corpus and its use for neural machine translation in the news domain",
author = "S{\'a}nchez-Mart{\'\i}nez, Felipe and
S{\'a}nchez-Cartagena, V{\'\i}ctor M. and
P{\'e}rez-Ortiz, Juan Antonio and
Forcada, Mikel L. and
Espl{\`a}-Gomis, Miquel and
Secker, Andrew and
Coleman, Susie and
Wall, Julie",
editor = "Martins, Andr{\'e} and
Moniz, Helena and
Fumega, Sara and
Martins, Bruno and
Batista, Fernando and
Coheur, Luisa and
Parra, Carla and
Trancoso, Isabel and
Turchi, Marco and
Bisazza, Arianna and
Moorkens, Joss and
Guerberof, Ana and
Nurminen, Mary and
Marg, Lena and
Forcada, Mikel L.",
booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
month = nov,
year = "2020",
address = "Lisboa, Portugal",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2020.eamt-1.32",
pages = "299--308",
abstract = "This paper describes our approach to create a neural machine translation system to translate between English and Swahili (both directions) in the news domain, as well as the process we followed to crawl the necessary parallel corpora from the Internet. We report the results of a pilot human evaluation performed by the news media organisations participating in the H2020 EU-funded project GoURMET.",
}
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%0 Conference Proceedings %T An English-Swahili parallel corpus and its use for neural machine translation in the news domain %A Sánchez-Martínez, Felipe %A Sánchez-Cartagena, Víctor M. %A Pérez-Ortiz, Juan Antonio %A Forcada, Mikel L. %A Esplà-Gomis, Miquel %A Secker, Andrew %A Coleman, Susie %A Wall, Julie %Y Martins, André %Y Moniz, Helena %Y Fumega, Sara %Y Martins, Bruno %Y Batista, Fernando %Y Coheur, Luisa %Y Parra, Carla %Y Trancoso, Isabel %Y Turchi, Marco %Y Bisazza, Arianna %Y Moorkens, Joss %Y Guerberof, Ana %Y Nurminen, Mary %Y Marg, Lena %Y Forcada, Mikel L. %S Proceedings of the 22nd Annual Conference of the European Association for Machine Translation %D 2020 %8 November %I European Association for Machine Translation %C Lisboa, Portugal %F sanchez-martinez-etal-2020-english %X This paper describes our approach to create a neural machine translation system to translate between English and Swahili (both directions) in the news domain, as well as the process we followed to crawl the necessary parallel corpora from the Internet. We report the results of a pilot human evaluation performed by the news media organisations participating in the H2020 EU-funded project GoURMET. %U https://aclanthology.org/2020.eamt-1.32 %P 299-308
Markdown (Informal)
[An English-Swahili parallel corpus and its use for neural machine translation in the news domain](https://aclanthology.org/2020.eamt-1.32) (Sánchez-Martínez et al., EAMT 2020)
- An English-Swahili parallel corpus and its use for neural machine translation in the news domain (Sánchez-Martínez et al., EAMT 2020)
ACL
- Felipe Sánchez-Martínez, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Mikel L. Forcada, Miquel Esplà-Gomis, Andrew Secker, Susie Coleman, and Julie Wall. 2020. An English-Swahili parallel corpus and its use for neural machine translation in the news domain. In Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, pages 299–308, Lisboa, Portugal. European Association for Machine Translation.