Abstract
This paper describes Kakao Enterprise’s submission to the WMT21 shared Machine Translation using Terminologies task. We integrate terminology constraints by pre-training with target lemma annotations and fine-tuning with exact target annotations utilizing the given terminology dataset. This approach yields a model that achieves outstanding results in terms of both translation quality and term consistency, ranking first based on COMET in the En→Fr language direction. Furthermore, we explore various methods such as back-translation, explicitly training terminologies as additional parallel data, and in-domain data selection.- Anthology ID:
- 2021.wmt-1.79
- Volume:
- Proceedings of the Sixth Conference on Machine Translation
- Month:
- November
- Year:
- 2021
- Address:
- Online
- Editors:
- Loic Barrault, Ondrej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussa, Christian Federmann, Mark Fishel, Alexander Fraser, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Tom Kocmi, Andre Martins, Makoto Morishita, Christof Monz
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 804–812
- Language:
- URL:
- https://aclanthology.org/2021.wmt-1.79
- DOI:
- Bibkey:
- Cite (ACL):
- Yunju Bak, Jimin Sun, Jay Kim, Sungwon Lyu, and Changmin Lee. 2021. Kakao Enterprise’s WMT21 Machine Translation Using Terminologies Task Submission. In Proceedings of the Sixth Conference on Machine Translation, pages 804–812, Online. Association for Computational Linguistics.
- Cite (Informal):
- Kakao Enterprise’s WMT21 Machine Translation Using Terminologies Task Submission (Bak et al., WMT 2021)
- Copy Citation:
- PDF:
- https://aclanthology.org/2021.wmt-1.79.pdf
Export citation
@inproceedings{bak-etal-2021-kakao,
title = "Kakao Enterprise{'}s {WMT}21 Machine Translation Using Terminologies Task Submission",
author = "Bak, Yunju and
Sun, Jimin and
Kim, Jay and
Lyu, Sungwon and
Lee, Changmin",
editor = "Barrault, Loic and
Bojar, Ondrej and
Bougares, Fethi and
Chatterjee, Rajen and
Costa-jussa, Marta R. and
Federmann, Christian and
Fishel, Mark and
Fraser, Alexander and
Freitag, Markus and
Graham, Yvette and
Grundkiewicz, Roman and
Guzman, Paco and
Haddow, Barry and
Huck, Matthias and
Yepes, Antonio Jimeno and
Koehn, Philipp and
Kocmi, Tom and
Martins, Andre and
Morishita, Makoto and
Monz, Christof",
booktitle = "Proceedings of the Sixth Conference on Machine Translation",
month = nov,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.wmt-1.79",
pages = "804--812",
abstract = "This paper describes Kakao Enterprise{'}s submission to the WMT21 shared Machine Translation using Terminologies task. We integrate terminology constraints by pre-training with target lemma annotations and fine-tuning with exact target annotations utilizing the given terminology dataset. This approach yields a model that achieves outstanding results in terms of both translation quality and term consistency, ranking first based on COMET in the En→Fr language direction. Furthermore, we explore various methods such as back-translation, explicitly training terminologies as additional parallel data, and in-domain data selection.",
}
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<abstract>This paper describes Kakao Enterprise’s submission to the WMT21 shared Machine Translation using Terminologies task. We integrate terminology constraints by pre-training with target lemma annotations and fine-tuning with exact target annotations utilizing the given terminology dataset. This approach yields a model that achieves outstanding results in terms of both translation quality and term consistency, ranking first based on COMET in the En→Fr language direction. Furthermore, we explore various methods such as back-translation, explicitly training terminologies as additional parallel data, and in-domain data selection.</abstract>
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%0 Conference Proceedings %T Kakao Enterprise’s WMT21 Machine Translation Using Terminologies Task Submission %A Bak, Yunju %A Sun, Jimin %A Kim, Jay %A Lyu, Sungwon %A Lee, Changmin %Y Barrault, Loic %Y Bojar, Ondrej %Y Bougares, Fethi %Y Chatterjee, Rajen %Y Costa-jussa, Marta R. %Y Federmann, Christian %Y Fishel, Mark %Y Fraser, Alexander %Y Freitag, Markus %Y Graham, Yvette %Y Grundkiewicz, Roman %Y Guzman, Paco %Y Haddow, Barry %Y Huck, Matthias %Y Yepes, Antonio Jimeno %Y Koehn, Philipp %Y Kocmi, Tom %Y Martins, Andre %Y Morishita, Makoto %Y Monz, Christof %S Proceedings of the Sixth Conference on Machine Translation %D 2021 %8 November %I Association for Computational Linguistics %C Online %F bak-etal-2021-kakao %X This paper describes Kakao Enterprise’s submission to the WMT21 shared Machine Translation using Terminologies task. We integrate terminology constraints by pre-training with target lemma annotations and fine-tuning with exact target annotations utilizing the given terminology dataset. This approach yields a model that achieves outstanding results in terms of both translation quality and term consistency, ranking first based on COMET in the En→Fr language direction. Furthermore, we explore various methods such as back-translation, explicitly training terminologies as additional parallel data, and in-domain data selection. %U https://aclanthology.org/2021.wmt-1.79 %P 804-812
Markdown (Informal)
[Kakao Enterprise’s WMT21 Machine Translation Using Terminologies Task Submission](https://aclanthology.org/2021.wmt-1.79) (Bak et al., WMT 2021)
- Kakao Enterprise’s WMT21 Machine Translation Using Terminologies Task Submission (Bak et al., WMT 2021)
ACL
- Yunju Bak, Jimin Sun, Jay Kim, Sungwon Lyu, and Changmin Lee. 2021. Kakao Enterprise’s WMT21 Machine Translation Using Terminologies Task Submission. In Proceedings of the Sixth Conference on Machine Translation, pages 804–812, Online. Association for Computational Linguistics.