Abstract
In this paper, we present an overview of the WMT 2022 shared task on code-mixed machine translation (MixMT). In this shared task, we hosted two code-mixed machine translation subtasks in the following settings: (i) monolingual to code-mixed translation and (ii) code-mixed to monolingual translation. In both the subtasks, we received registration and participation from teams across the globe showing an interest and need to immediately address the challenges with machine translation involving code-mixed and low-resource languages.- Anthology ID:
- 2022.wmt-1.74
- Volume:
- Proceedings of the Seventh Conference on Machine Translation (WMT)
- Month:
- December
- Year:
- 2022
- Address:
- Abu Dhabi, United Arab Emirates (Hybrid)
- Editors:
- Philipp Koehn, Loïc Barrault, Ondřej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Tom Kocmi, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri, Aurélie Névéol, Mariana Neves, Martin Popel, Marco Turchi, Marcos Zampieri
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 806–811
- Language:
- URL:
- https://aclanthology.org/2022.wmt-1.74
- DOI:
- Cite (ACL):
- Vivek Srivastava and Mayank Singh. 2022. Overview and Results of MixMT Shared-Task at WMT 2022. In Proceedings of the Seventh Conference on Machine Translation (WMT), pages 806–811, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
- Cite (Informal):
- Overview and Results of MixMT Shared-Task at WMT 2022 (Srivastava & Singh, WMT 2022)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2022.wmt-1.74.pdf