The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform
Panagiotis Tsolakis, Ziqian Peng, Laurent Romary, François Yvon, Rachel Bawden
Correct Metadata for
Abstract
English dominates scientific publishing, which disadvantages researchers who are not native English speakers, especially those in the earlier stages of their careers. Being able to write and engage with scientific content written in their own language would clearly facilitate scientific production. The MaTOS project (Machine Translation for Open Science) seeks to reduce these barriers by developing machine translation tools for scientific documents in English and French. This article presents the design of the MaTOS pipeline for the HAL platform to automatically translate article abstracts, with author validation, to increase the number of bilingual abstracts on the platform. We also report preliminary experiments comparing translation of sentence, three-sentence chunks, and whole abstracts, evaluated using quality estimation metrics.- Anthology ID:
- 2026.eamt-2.30
- Volume:
- Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2)
- Month:
- June
- Year:
- 2026
- Address:
- Tilburg, The Netherlands
- Editors:
- Dimitar Shterionov, Eva Vanmassenhove, Mirella De Sisto, Fred Blain, Javad Pourmostafa Roshan Sharami, Lisa Lepp, Chiara Manna, Argentina Anna Rescigno, Alina Karakanta, Ayla Rigouts Terryn, Manuel Lardelli, Natalia Resende, Elena Murgolo, Janiça Hackenbuchner, Anna Zaretskaya, Miquel Esplà-Gomis, Thierry Etchegoyhen, Dagmar Gromann, Rachel Bawden, Barry Haddow, Sara Szoc, Mikel Forcada, Helena Moniz
- Venue:
- EAMT
- SIG:
- Publisher:
- European Association for Machine Translation
- Note:
- Pages:
- 104–113
- Language:
- URL:
- https://aclanthology.org/2026.eamt-2.30/
- DOI:
- Bibkey:
- Cite (ACL):
- Panagiotis Tsolakis, Ziqian Peng, Laurent Romary, François Yvon, and Rachel Bawden. 2026. The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform. In Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2), pages 104–113, Tilburg, The Netherlands. European Association for Machine Translation.
- Cite (Informal):
- The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform (Tsolakis et al., EAMT 2026)
- Copy Citation:
- PDF:
- https://aclanthology.org/2026.eamt-2.30.pdf
Export citation
@inproceedings{tsolakis-etal-2026-matos,
title = "The {M}a{TOS} Pipeline for the Translation of Scientific Abstracts on the {HAL} Platform",
author = "Tsolakis, Panagiotis and
Peng, Ziqian and
Romary, Laurent and
Yvon, Fran{\c{c}}ois and
Bawden, Rachel",
editor = "Shterionov, Dimitar and
Vanmassenhove, Eva and
De Sisto, Mirella and
Blain, Fred and
Pourmostafa Roshan Sharami, Javad and
Lepp, Lisa and
Manna, Chiara and
Rescigno, Argentina Anna and
Karakanta, Alina and
Rigouts Terryn, Ayla and
Lardelli, Manuel and
Resende, Natalia and
Murgolo, Elena and
Hackenbuchner, Jani{\c{c}}a and
Zaretskaya, Anna and
Espl{\`a}-Gomis, Miquel and
Etchegoyhen, Thierry and
Gromann, Dagmar and
Bawden, Rachel and
Haddow, Barry and
Szoc, Sara and
Forcada, Mikel and
Moniz, Helena",
booktitle = "Proceedings of the 26th Annual Conference of the {E}uropean Association for Machine Translation (Volume 2)",
month = jun,
year = "2026",
address = "Tilburg, The Netherlands",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2026.eamt-2.30/",
pages = "104--113",
ISBN = "9789403901404",
abstract = "English dominates scientific publishing, which disadvantages researchers who are not native English speakers, especially those in the earlier stages of their careers. Being able to write and engage with scientific content written in their own language would clearly facilitate scientific production. The MaTOS project (Machine Translation for Open Science) seeks to reduce these barriers by developing machine translation tools for scientific documents in English and French. This article presents the design of the MaTOS pipeline for the HAL platform to automatically translate article abstracts, with author validation, to increase the number of bilingual abstracts on the platform. We also report preliminary experiments comparing translation of sentence, three-sentence chunks, and whole abstracts, evaluated using quality estimation metrics."
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%0 Conference Proceedings %T The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform %A Tsolakis, Panagiotis %A Peng, Ziqian %A Romary, Laurent %A Yvon, François %A Bawden, Rachel %Y Shterionov, Dimitar %Y Vanmassenhove, Eva %Y De Sisto, Mirella %Y Blain, Fred %Y Pourmostafa Roshan Sharami, Javad %Y Lepp, Lisa %Y Manna, Chiara %Y Rescigno, Argentina Anna %Y Karakanta, Alina %Y Rigouts Terryn, Ayla %Y Lardelli, Manuel %Y Resende, Natalia %Y Murgolo, Elena %Y Hackenbuchner, Janiça %Y Zaretskaya, Anna %Y Esplà-Gomis, Miquel %Y Etchegoyhen, Thierry %Y Gromann, Dagmar %Y Bawden, Rachel %Y Haddow, Barry %Y Szoc, Sara %Y Forcada, Mikel %Y Moniz, Helena %S Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2) %D 2026 %8 June %I European Association for Machine Translation %C Tilburg, The Netherlands %@ 9789403901404 %F tsolakis-etal-2026-matos %X English dominates scientific publishing, which disadvantages researchers who are not native English speakers, especially those in the earlier stages of their careers. Being able to write and engage with scientific content written in their own language would clearly facilitate scientific production. The MaTOS project (Machine Translation for Open Science) seeks to reduce these barriers by developing machine translation tools for scientific documents in English and French. This article presents the design of the MaTOS pipeline for the HAL platform to automatically translate article abstracts, with author validation, to increase the number of bilingual abstracts on the platform. We also report preliminary experiments comparing translation of sentence, three-sentence chunks, and whole abstracts, evaluated using quality estimation metrics. %U https://aclanthology.org/2026.eamt-2.30/ %P 104-113
Markdown (Informal)
[The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform](https://aclanthology.org/2026.eamt-2.30/) (Tsolakis et al., EAMT 2026)
- The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform (Tsolakis et al., EAMT 2026)
ACL
- Panagiotis Tsolakis, Ziqian Peng, Laurent Romary, François Yvon, and Rachel Bawden. 2026. The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform. In Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2), pages 104–113, Tilburg, The Netherlands. European Association for Machine Translation.