MATEO : MAchine Translation Evaluation Online
- Author
- Bram Vanroy (UGent) , Arda Tezcan (UGent) and Lieve Macken (UGent)
- Organization
- Project
- 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.
- Keywords
- lt3, machine translation, MT, machine translation evaluation, evaluation
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01H2AC8KF9XGQ69HZMB2Z3JAZ9
- MLA
- Vanroy, Bram, et al. “MATEO : MAchine Translation Evaluation Online.” Proceedings of the 24th Annual Conference of the European Association for Machine Translation, edited by Mary Nurminen et al., European Association for Machine Translation (EAMT), 2023, pp. 499–500.
- APA
- Vanroy, B., Tezcan, A., & Macken, L. (2023). MATEO : MAchine Translation Evaluation Online. In M. Nurminen, J. Brenner, M. Koponen, S. Latomaa, M. Mikhailov, F. Schierl, … H. Moniz (Eds.), Proceedings of the 24th Annual Conference of the European Association for Machine Translation (pp. 499–500). European Association for Machine Translation (EAMT).
- Chicago author-date
- Vanroy, Bram, 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, edited by Mary Nurminen, Judith Brenner, Maarit Koponen, Sirkku Latomaa, Mikhail Mikhailov, Frederike Schierl, Tharindu Ranasinghe, et al., 499–500. European Association for Machine Translation (EAMT).
- Chicago author-date (all authors)
- Vanroy, Bram, 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, ed by. 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, and Helena Moniz, 499–500. European Association for Machine Translation (EAMT).
- Vancouver
- 1.Vanroy B, Tezcan A, Macken L. MATEO : MAchine Translation Evaluation Online. In: Nurminen M, Brenner J, Koponen M, Latomaa S, Mikhailov M, Schierl F, et al., editors. Proceedings of the 24th Annual Conference of the European Association for Machine Translation. European Association for Machine Translation (EAMT); 2023. p. 499–500.
- IEEE
- [1]B. Vanroy, A. Tezcan, and L. Macken, “MATEO : MAchine Translation Evaluation Online,” in Proceedings of the 24th Annual Conference of the European Association for Machine Translation, Tampere, Finland, 2023, pp. 499–500.
@inproceedings{01H2AC8KF9XGQ69HZMB2Z3JAZ9,
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.}},
author = {{Vanroy, Bram and Tezcan, Arda and Macken, Lieve}},
booktitle = {{Proceedings of the 24th Annual Conference of the European Association for Machine Translation}},
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 Alvarez Vidal, Sergi and Aranberri, Nora and Nunziatini, Mara and Parra Escartín, Carla and Forcada, Mikel and Popovic, Maja and Scarton, Carolina and Moniz, Helena}},
isbn = {{9789520329471}},
keywords = {{lt3,machine translation,MT,machine translation evaluation,evaluation}},
language = {{eng}},
location = {{Tampere, Finland}},
pages = {{499--500}},
publisher = {{European Association for Machine Translation (EAMT)}},
title = {{MATEO : MAchine Translation Evaluation Online}},
url = {{https://lt3.ugent.be/mateo/}},
year = {{2023}},
}