MaTOS: Machine Translation for Open Science
Rachel Bawden, Maud Bénard, Maud Bénard, José Cornejo Cárcamo, Nicolas Dahan, Manon Delorme, Mathilde Huguin, Natalie Kübler, Paul Lerner, Alexandra Mestivier, Joachim Minder, Jean-François Nominé, Ziqian Peng, Laurent Romary, Panagiotis Tsolakis, Lichao Zhu, François Yvon
Correct Metadata for
Abstract
This paper is a short presentation of MaTOS, a project focusing on the automatic translation of scholarly documents. Its main aims are threefold: (a) to develop resources (term lists and corpora) for high-quality machine translation; (b) to study methods for translating complete, structured documents in a cohesive and consistent manner; (c) to propose novel metrics to evaluate machine translation in technical domains. Publications and resources are available on the project web site: https://anr-matos.gihub.io.- Anthology ID:
- 2025.mtsummit-2.22
- Volume:
- Proceedings of Machine Translation Summit XX: Volume 2
- Month:
- June
- Year:
- 2025
- Address:
- Geneva, Switzerland
- Editors:
- Pierrette Bouillon, Johanna Gerlach, Sabrina Girletti, Lise Volkart, Raphael Rubino, Rico Sennrich, Samuel Läubli, Martin Volk, Miquel Esplà-Gomis, Vincent Vandeghinste, Helena Moniz, Sara Szoc
- Venue:
- MTSummit
- SIG:
- Publisher:
- European Association for Machine Translation
- Note:
- Pages:
- 103–104
- Language:
- URL:
- https://aclanthology.org/2025.mtsummit-2.22/
- DOI:
- Bibkey:
- Cite (ACL):
- Rachel Bawden, Maud Bénard, Maud Bénard, José Cornejo Cárcamo, Nicolas Dahan, Manon Delorme, Mathilde Huguin, Natalie Kübler, Paul Lerner, Alexandra Mestivier, Joachim Minder, Jean-François Nominé, Ziqian Peng, Laurent Romary, Panagiotis Tsolakis, Lichao Zhu, and François Yvon. 2025. MaTOS: Machine Translation for Open Science. In Proceedings of Machine Translation Summit XX: Volume 2, pages 103–104, Geneva, Switzerland. European Association for Machine Translation.
- Cite (Informal):
- MaTOS: Machine Translation for Open Science (Bawden et al., MTSummit 2025)
- Copy Citation:
- PDF:
- https://aclanthology.org/2025.mtsummit-2.22.pdf
Export citation
@inproceedings{bawden-etal-2025-matos,
title = "{M}a{TOS}: Machine Translation for Open Science",
author = {Bawden, Rachel and
B{\'e}nard, Maud and
B{\'e}nard, Maud and
C{\'a}rcamo, Jos{\'e} Cornejo and
Dahan, Nicolas and
Delorme, Manon and
Huguin, Mathilde and
K{\"u}bler, Natalie and
Lerner, Paul and
Mestivier, Alexandra and
Minder, Joachim and
Nomin{\'e}, Jean-Fran{\c{c}}ois and
Peng, Ziqian and
Romary, Laurent and
Tsolakis, Panagiotis and
Zhu, Lichao and
Yvon, Fran{\c{c}}ois},
editor = {Bouillon, Pierrette and
Gerlach, Johanna and
Girletti, Sabrina and
Volkart, Lise and
Rubino, Raphael and
Sennrich, Rico and
L{\"a}ubli, Samuel and
Volk, Martin and
Espl{\`a}-Gomis, Miquel and
Vandeghinste, Vincent and
Moniz, Helena and
Szoc, Sara},
booktitle = "Proceedings of Machine Translation Summit XX: Volume 2",
month = jun,
year = "2025",
address = "Geneva, Switzerland",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2025.mtsummit-2.22/",
pages = "103--104",
ISBN = "978-2-9701897-1-8",
abstract = "This paper is a short presentation of MaTOS, a project focusing on the automatic translation of scholarly documents. Its main aims are threefold: (a) to develop resources (term lists and corpora) for high-quality machine translation; (b) to study methods for translating complete, structured documents in a cohesive and consistent manner; (c) to propose novel metrics to evaluate machine translation in technical domains. Publications and resources are available on the project web site: https://anr-matos.gihub.io."
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%0 Conference Proceedings %T MaTOS: Machine Translation for Open Science %A Bawden, Rachel %A Bénard, Maud %A Cárcamo, José Cornejo %A Dahan, Nicolas %A Delorme, Manon %A Huguin, Mathilde %A Kübler, Natalie %A Lerner, Paul %A Mestivier, Alexandra %A Minder, Joachim %A Nominé, Jean-François %A Peng, Ziqian %A Romary, Laurent %A Tsolakis, Panagiotis %A Zhu, Lichao %A Yvon, François %Y Bouillon, Pierrette %Y Gerlach, Johanna %Y Girletti, Sabrina %Y Volkart, Lise %Y Rubino, Raphael %Y Sennrich, Rico %Y Läubli, Samuel %Y Volk, Martin %Y Esplà-Gomis, Miquel %Y Vandeghinste, Vincent %Y Moniz, Helena %Y Szoc, Sara %S Proceedings of Machine Translation Summit XX: Volume 2 %D 2025 %8 June %I European Association for Machine Translation %C Geneva, Switzerland %@ 978-2-9701897-1-8 %F bawden-etal-2025-matos %X This paper is a short presentation of MaTOS, a project focusing on the automatic translation of scholarly documents. Its main aims are threefold: (a) to develop resources (term lists and corpora) for high-quality machine translation; (b) to study methods for translating complete, structured documents in a cohesive and consistent manner; (c) to propose novel metrics to evaluate machine translation in technical domains. Publications and resources are available on the project web site: https://anr-matos.gihub.io. %U https://aclanthology.org/2025.mtsummit-2.22/ %P 103-104
Markdown (Informal)
[MaTOS: Machine Translation for Open Science](https://aclanthology.org/2025.mtsummit-2.22/) (Bawden et al., MTSummit 2025)
- MaTOS: Machine Translation for Open Science (Bawden et al., MTSummit 2025)
ACL
- Rachel Bawden, Maud Bénard, Maud Bénard, José Cornejo Cárcamo, Nicolas Dahan, Manon Delorme, Mathilde Huguin, Natalie Kübler, Paul Lerner, Alexandra Mestivier, Joachim Minder, Jean-François Nominé, Ziqian Peng, Laurent Romary, Panagiotis Tsolakis, Lichao Zhu, and François Yvon. 2025. MaTOS: Machine Translation for Open Science. In Proceedings of Machine Translation Summit XX: Volume 2, pages 103–104, Geneva, Switzerland. European Association for Machine Translation.