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:
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/2023.eamt-1.52.pdf