Correct Metadata for
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
Export citation
@inproceedings{vanroy-etal-2023-mateo,
title = "{MATEO}: {MA}chine Translation Evaluation Online",
author = "Vanroy, Bram and
Tezcan, Arda and
Macken, Lieve",
editor = "Nurminen, Mary and
Brenner, Judith and
Koponen, Maarit and
Latomaa, Sirkku and
Mikhailov, Mikhail and
Schierl, Frederike and
Ranasinghe, Tharindu and
Vanmassenhove, Eva and
Vidal, Sergi Alvarez and
Aranberri, Nora and
Nunziatini, Mara and
Escart{\'i}n, Carla Parra and
Forcada, Mikel and
Popovic, Maja and
Scarton, Carolina and
Moniz, Helena",
booktitle = "Proceedings of the 24th Annual Conference of the European Association for Machine Translation",
month = jun,
year = "2023",
address = "Tampere, Finland",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2023.eamt-1.52/",
pages = "499--500",
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."
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%0 Conference Proceedings %T MATEO: MAchine Translation Evaluation Online %A Vanroy, Bram %A Tezcan, Arda %A Macken, Lieve %Y Nurminen, Mary %Y Brenner, Judith %Y Koponen, Maarit %Y Latomaa, Sirkku %Y Mikhailov, Mikhail %Y Schierl, Frederike %Y Ranasinghe, Tharindu %Y Vanmassenhove, Eva %Y Vidal, Sergi Alvarez %Y Aranberri, Nora %Y Nunziatini, Mara %Y Escartín, Carla Parra %Y Forcada, Mikel %Y Popovic, Maja %Y Scarton, Carolina %Y Moniz, Helena %S Proceedings of the 24th Annual Conference of the European Association for Machine Translation %D 2023 %8 June %I European Association for Machine Translation %C Tampere, Finland %F vanroy-etal-2023-mateo %X 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. %U https://aclanthology.org/2023.eamt-1.52/ %P 499-500
Markdown (Informal)
[MATEO: MAchine Translation Evaluation Online](https://aclanthology.org/2023.eamt-1.52/) (Vanroy et al., EAMT 2023)
- MATEO: MAchine Translation Evaluation Online (Vanroy et al., EAMT 2023)
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.