Abstract
GTCOM participates in five directions: English to/from Ukrainian, Ukrainian to/from Czech, English to Chinese and English to Croatian. Our submitted systems are unconstrained and focus on backtranslation, multilingual translation model and finetuning. Multilingual translation model focus on X to one and one to X. We also apply rules and language model to filter monolingual, parallel sentences and synthetic sentences.- Anthology ID:
- 2022.wmt-1.39
- 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:
- 428–431
- Language:
- URL:
- https://aclanthology.org/2022.wmt-1.39
- DOI:
- Cite (ACL):
- Hao Zong and Chao Bei. 2022. GTCOM Neural Machine Translation Systems for WMT22. In Proceedings of the Seventh Conference on Machine Translation (WMT), pages 428–431, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
- Cite (Informal):
- GTCOM Neural Machine Translation Systems for WMT22 (Zong & Bei, WMT 2022)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2022.wmt-1.39.pdf