@inproceedings{kiyono-etal-2020-tohoku,
title = "Tohoku-{AIP}-{NTT} at {WMT} 2020 News Translation Task",
author = "Kiyono, Shun and
Ito, Takumi and
Konno, Ryuto and
Morishita, Makoto and
Suzuki, Jun",
booktitle = "Proceedings of the Fifth Conference on Machine Translation",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.wmt-1.12",
pages = "145--155",
abstract = "In this paper, we describe the submission of Tohoku-AIP-NTT to the WMT{'}20 news translation task. We participated in this task in two language pairs and four language directions: English {\textless}{--}{\textgreater} German and English {\textless}{--}{\textgreater} Japanese. Our system consists of techniques such as back-translation and fine-tuning, which are already widely adopted in translation tasks. We attempted to develop new methods for both synthetic data filtering and reranking. However, the methods turned out to be ineffective, and they provided us with no significant improvement over the baseline. We analyze these negative results to provide insights for future studies.",
}
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<abstract>In this paper, we describe the submission of Tohoku-AIP-NTT to the WMT’20 news translation task. We participated in this task in two language pairs and four language directions: English \textless–\textgreater German and English \textless–\textgreater Japanese. Our system consists of techniques such as back-translation and fine-tuning, which are already widely adopted in translation tasks. We attempted to develop new methods for both synthetic data filtering and reranking. However, the methods turned out to be ineffective, and they provided us with no significant improvement over the baseline. We analyze these negative results to provide insights for future studies.</abstract>
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%0 Conference Proceedings
%T Tohoku-AIP-NTT at WMT 2020 News Translation Task
%A Kiyono, Shun
%A Ito, Takumi
%A Konno, Ryuto
%A Morishita, Makoto
%A Suzuki, Jun
%S Proceedings of the Fifth Conference on Machine Translation
%D 2020
%8 nov
%I Association for Computational Linguistics
%C Online
%F kiyono-etal-2020-tohoku
%X In this paper, we describe the submission of Tohoku-AIP-NTT to the WMT’20 news translation task. We participated in this task in two language pairs and four language directions: English \textless–\textgreater German and English \textless–\textgreater Japanese. Our system consists of techniques such as back-translation and fine-tuning, which are already widely adopted in translation tasks. We attempted to develop new methods for both synthetic data filtering and reranking. However, the methods turned out to be ineffective, and they provided us with no significant improvement over the baseline. We analyze these negative results to provide insights for future studies.
%U https://aclanthology.org/2020.wmt-1.12
%P 145-155
Markdown (Informal)
[Tohoku-AIP-NTT at WMT 2020 News Translation Task](https://aclanthology.org/2020.wmt-1.12) (Kiyono et al., WMT 2020)
ACL
- Shun Kiyono, Takumi Ito, Ryuto Konno, Makoto Morishita, and Jun Suzuki. 2020. Tohoku-AIP-NTT at WMT 2020 News Translation Task. In Proceedings of the Fifth Conference on Machine Translation, pages 145–155, Online. Association for Computational Linguistics.