VERA: A Platform for Automatic and Human Evaluation of Machine Translation

Sofía García González, Inés Quintana Raña, Jorge N. Afonso Cabido, Alberto Hernández Lado, German Rigau Claramunt, Sheila Castilho


Abstract
We present VERA, an easy-to-use platform for machine translation (MT) evaluation that integrates automatic and human evaluation within a single web environment. VERA supports standard reference based metrics and multiuser annotation following the Multidimensional Quality Metrics (MQM) Core framework. The platform enables the export of annotated corpora and the generation of final PDF reports summarizing both automatic and human evaluation results, including correlations between them.
Anthology ID:
2026.eamt-2.5
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:
10–11
Language:
URL:
https://aclanthology.org/2026.eamt-2.5/
DOI:
Bibkey:
Cite (ACL):
Sofía García González, Inés Quintana Raña, Jorge N. Afonso Cabido, Alberto Hernández Lado, German Rigau Claramunt, and Sheila Castilho. 2026. VERA: A Platform for Automatic and Human Evaluation of Machine Translation. In Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2), pages 10–11, Tilburg, The Netherlands. European Association for Machine Translation.
Cite (Informal):
VERA: A Platform for Automatic and Human Evaluation of Machine Translation (González et al., EAMT 2026)
Copy Citation:
PDF:
https://aclanthology.org/2026.eamt-2.5.pdf