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Abstract
Human evaluation remains essential for reliable machine translation (MT) assessment, yet practical evaluation workflows are often difficult to reproduce and scale. Here we introduce HERMeS, a lightweight human evaluation platform designed to streamline systematic human evaluation and comparison of multiple MT systems across large translation sets. Unlike existing evaluation tools, HERMeS focuses specifically on scalable comparison of many anonymized systems through a hybrid ranking and direct assessment workflow, using a novel approach that reduces evaluator cognitive load while maintaining data quality, security, and integrity.- Anthology ID:
- 2026.eamt-2.8
- 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:
- 17–18
- Language:
- URL:
- https://aclanthology.org/2026.eamt-2.8/
- DOI:
- Bibkey:
- Cite (ACL):
- Rex Vanhorn. 2026. HERMeS: Human Evaluation & Ranking of MultiplE Systems. In Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2), pages 17–18, Tilburg, The Netherlands. European Association for Machine Translation.
- Cite (Informal):
- HERMeS: Human Evaluation & Ranking of MultiplE Systems (Vanhorn, EAMT 2026)
- Copy Citation:
- PDF:
- https://aclanthology.org/2026.eamt-2.8.pdf
Export citation
@inproceedings{vanhorn-2026-hermes,
title = "{HERM}e{S}: Human Evaluation {\&} Ranking of {M}ultipl{E} Systems",
author = "Vanhorn, Rex",
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-2.8/",
pages = "17--18",
ISBN = "9789403901404",
abstract = "Human evaluation remains essential for reliable machine translation (MT) assessment, yet practical evaluation workflows are often difficult to reproduce and scale. Here we introduce HERMeS, a lightweight human evaluation platform designed to streamline systematic human evaluation and comparison of multiple MT systems across large translation sets. Unlike existing evaluation tools, HERMeS focuses specifically on scalable comparison of many anonymized systems through a hybrid ranking and direct assessment workflow, using a novel approach that reduces evaluator cognitive load while maintaining data quality, security, and integrity."
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%0 Conference Proceedings %T HERMeS: Human Evaluation & Ranking of MultiplE Systems %A Vanhorn, Rex %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 vanhorn-2026-hermes %X Human evaluation remains essential for reliable machine translation (MT) assessment, yet practical evaluation workflows are often difficult to reproduce and scale. Here we introduce HERMeS, a lightweight human evaluation platform designed to streamline systematic human evaluation and comparison of multiple MT systems across large translation sets. Unlike existing evaluation tools, HERMeS focuses specifically on scalable comparison of many anonymized systems through a hybrid ranking and direct assessment workflow, using a novel approach that reduces evaluator cognitive load while maintaining data quality, security, and integrity. %U https://aclanthology.org/2026.eamt-2.8/ %P 17-18
Markdown (Informal)
[HERMeS: Human Evaluation & Ranking of MultiplE Systems](https://aclanthology.org/2026.eamt-2.8/) (Vanhorn, EAMT 2026)
- HERMeS: Human Evaluation & Ranking of MultiplE Systems (Vanhorn, EAMT 2026)
ACL
- Rex Vanhorn. 2026. HERMeS: Human Evaluation & Ranking of MultiplE Systems. In Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2), pages 17–18, Tilburg, The Netherlands. European Association for Machine Translation.