MATEO: MAchine Translation Evaluation Online

Bram Vanroy, Arda Tezcan, Lieve Macken


Abstract
We present MAchine Translation Evaluation Online (MATEO), a project that aims to facilitate machine translation (MT) evaluation by means of an easy-to-use interface that can evaluate given machine translations with a battery of automatic metrics. It caters to both experienced and novice users who are working with MT, such as MT system builders, teachers and students of (machine) translation, and researchers.
Anthology ID:
2023.eamt-1.52
Volume:
Proceedings of the 24th Annual Conference of the European Association for Machine Translation
Month:
June
Year:
2023
Address:
Tampere, Finland
Editors:
Mary Nurminen, Judith Brenner, Maarit Koponen, Sirkku Latomaa, Mikhail Mikhailov, Frederike Schierl, Tharindu Ranasinghe, Eva Vanmassenhove, Sergi Alvarez Vidal, Nora Aranberri, Mara Nunziatini, Carla Parra Escartín, Mikel Forcada, Maja Popovic, Carolina Scarton, Helena Moniz
Venue:
EAMT
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
499–500
Language:
URL:
https://aclanthology.org/2023.eamt-1.52
DOI:
Bibkey:
Cite (ACL):
Bram Vanroy, Arda Tezcan, and Lieve Macken. 2023. MATEO: MAchine Translation Evaluation Online. In Proceedings of the 24th Annual Conference of the European Association for Machine Translation, pages 499–500, Tampere, Finland. European Association for Machine Translation.
Cite (Informal):
MATEO: MAchine Translation Evaluation Online (Vanroy et al., EAMT 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.eamt-1.52.pdf