Re-design of the Machine Translation Training Tool (MT3)
Paula Estrella, Emiliano Cuenca, Laura Bruno, Jonathan Mutal, Sabrina Girletti, Lise Volkart, Pierrette Bouillon
Abstract
We believe that machine translation (MT) must be introduced to translation students as part of their training, in preparation for their professional life. In this paper we present a new version of the tool called MT3, which builds on and extends a joint effort undertaken by the Faculty of Languages of the University of Córdoba and Faculty of Translation and Interpreting of the University of Geneva to develop an open-source web platform to teach MT to translation students. We also report on a pilot experiment with the goal of testing the viability of using MT3 in an MT course. The pilot let us identify areas for improvement and collect students’ feedback about the tool’s usability.- Anthology ID:
- 2020.eamt-1.40
- 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:
- 375–382
- Language:
- URL:
- https://aclanthology.org/2020.eamt-1.40
- DOI:
- Bibkey:
- Cite (ACL):
- Paula Estrella, Emiliano Cuenca, Laura Bruno, Jonathan Mutal, Sabrina Girletti, Lise Volkart, and Pierrette Bouillon. 2020. Re-design of the Machine Translation Training Tool (MT3). In Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, pages 375–382, Lisboa, Portugal. European Association for Machine Translation.
- Cite (Informal):
- Re-design of the Machine Translation Training Tool (MT3) (Estrella et al., EAMT 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.eamt-1.40.pdf
Export citation
@inproceedings{estrella-etal-2020-design,
title = "Re-design of the Machine Translation Training Tool ({MT}3)",
author = "Estrella, Paula and
Cuenca, Emiliano and
Bruno, Laura and
Mutal, Jonathan and
Girletti, Sabrina and
Volkart, Lise and
Bouillon, Pierrette",
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-1.40",
pages = "375--382",
abstract = "We believe that machine translation (MT) must be introduced to translation students as part of their training, in preparation for their professional life. In this paper we present a new version of the tool called MT3, which builds on and extends a joint effort undertaken by the Faculty of Languages of the University of C{\'o}rdoba and Faculty of Translation and Interpreting of the University of Geneva to develop an open-source web platform to teach MT to translation students. We also report on a pilot experiment with the goal of testing the viability of using $MT^3$ in an MT course. The pilot let us identify areas for improvement and collect students{'} feedback about the tool{'}s usability.",
}
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%0 Conference Proceedings %T Re-design of the Machine Translation Training Tool (MT3) %A Estrella, Paula %A Cuenca, Emiliano %A Bruno, Laura %A Mutal, Jonathan %A Girletti, Sabrina %A Volkart, Lise %A Bouillon, Pierrette %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 estrella-etal-2020-design %X We believe that machine translation (MT) must be introduced to translation students as part of their training, in preparation for their professional life. In this paper we present a new version of the tool called MT3, which builds on and extends a joint effort undertaken by the Faculty of Languages of the University of Córdoba and Faculty of Translation and Interpreting of the University of Geneva to develop an open-source web platform to teach MT to translation students. We also report on a pilot experiment with the goal of testing the viability of using MT³ in an MT course. The pilot let us identify areas for improvement and collect students’ feedback about the tool’s usability. %U https://aclanthology.org/2020.eamt-1.40 %P 375-382
Markdown (Informal)
[Re-design of the Machine Translation Training Tool (MT3)](https://aclanthology.org/2020.eamt-1.40) (Estrella et al., EAMT 2020)
- Re-design of the Machine Translation Training Tool (MT3) (Estrella et al., EAMT 2020)
ACL
- Paula Estrella, Emiliano Cuenca, Laura Bruno, Jonathan Mutal, Sabrina Girletti, Lise Volkart, and Pierrette Bouillon. 2020. Re-design of the Machine Translation Training Tool (MT3). In Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, pages 375–382, Lisboa, Portugal. European Association for Machine Translation.