Transn’s Submissions to the WMT22 Translation Suggestion Task

Mao Hongbao, Zhang Wenbo, Cai Jie, Cheng Jianwei

Abstract
This paper describes the Transn’s submissions to the WMT2022 shared task on TranslationSuggestion. Our team participated on two tasks: Naive Translation Suggestion and TranslationSuggestion with Hints, focusing on two language directions Zh→En and En→Zh. Apart from the golden training data provided by the shared task, we utilized synthetic corpus to fine-tune on DeltaLM (∆LM), which is a pre-trained encoder-decoder language model. We applied two-stage training strategy on ∆LM and several effective methods to generate synthetic corpus, which contribute a lot to the results. According to the official evaluation results in terms of BLEU scores, our submissions in Naive Translation Suggestion En→Zh and Translation Suggestion with Hints (both Zh→En and En→Zh) ranked 1st, and Naive Translation Suggestion Zh→En also achieved comparable result to the best score.
Anthology ID:
2022.wmt-1.124
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:
1205–1210
Language:
URL:
https://aclanthology.org/2022.wmt-1.124
DOI:
Bibkey:
Cite (ACL):
Mao Hongbao, Zhang Wenbo, Cai Jie, and Cheng Jianwei. 2022. Transn’s Submissions to the WMT22 Translation Suggestion Task. In Proceedings of the Seventh Conference on Machine Translation (WMT), pages 1205–1210, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
Cite (Informal):
Transn’s Submissions to the WMT22 Translation Suggestion Task (Hongbao et al., WMT 2022)
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PDF:
https://preview.aclanthology.org/nschneid-patch-3/2022.wmt-1.124.pdf
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