@inproceedings{sun-etal-2020-xiaomis,
title = "Xiaomi{'}s Submissions for {IWSLT} 2020 Open Domain Translation Task",
author = "Sun, Yuhui and
Guo, Mengxue and
Li, Xiang and
Cui, Jianwei and
Wang, Bin",
editor = {Federico, Marcello and
Waibel, Alex and
Knight, Kevin and
Nakamura, Satoshi and
Ney, Hermann and
Niehues, Jan and
St{\"u}ker, Sebastian and
Wu, Dekai and
Mariani, Joseph and
Yvon, Francois},
booktitle = "Proceedings of the 17th International Conference on Spoken Language Translation",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.iwslt-1.18",
doi = "10.18653/v1/2020.iwslt-1.18",
pages = "149--157",
abstract = "This paper describes the Xiaomi{'}s submissions to the IWSLT20 shared open domain translation task for Chinese{\textless}-{\textgreater}Japanese language pair. We explore different model ensembling strategies based on recent Transformer variants. We also further strengthen our systems via some effective techniques, such as data filtering, data selection, tagged back translation, domain adaptation, knowledge distillation, and re-ranking. Our resulting Chinese-{\textgreater}Japanese primary system ranked second in terms of character-level BLEU score among all submissions. Our resulting Japanese-{\textgreater}Chinese primary system also achieved a competitive performance.",
}
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<abstract>This paper describes the Xiaomi’s submissions to the IWSLT20 shared open domain translation task for Chinese\textless-\textgreaterJapanese language pair. We explore different model ensembling strategies based on recent Transformer variants. We also further strengthen our systems via some effective techniques, such as data filtering, data selection, tagged back translation, domain adaptation, knowledge distillation, and re-ranking. Our resulting Chinese-\textgreaterJapanese primary system ranked second in terms of character-level BLEU score among all submissions. Our resulting Japanese-\textgreaterChinese primary system also achieved a competitive performance.</abstract>
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%0 Conference Proceedings
%T Xiaomi’s Submissions for IWSLT 2020 Open Domain Translation Task
%A Sun, Yuhui
%A Guo, Mengxue
%A Li, Xiang
%A Cui, Jianwei
%A Wang, Bin
%Y Federico, Marcello
%Y Waibel, Alex
%Y Knight, Kevin
%Y Nakamura, Satoshi
%Y Ney, Hermann
%Y Niehues, Jan
%Y Stüker, Sebastian
%Y Wu, Dekai
%Y Mariani, Joseph
%Y Yvon, Francois
%S Proceedings of the 17th International Conference on Spoken Language Translation
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F sun-etal-2020-xiaomis
%X This paper describes the Xiaomi’s submissions to the IWSLT20 shared open domain translation task for Chinese\textless-\textgreaterJapanese language pair. We explore different model ensembling strategies based on recent Transformer variants. We also further strengthen our systems via some effective techniques, such as data filtering, data selection, tagged back translation, domain adaptation, knowledge distillation, and re-ranking. Our resulting Chinese-\textgreaterJapanese primary system ranked second in terms of character-level BLEU score among all submissions. Our resulting Japanese-\textgreaterChinese primary system also achieved a competitive performance.
%R 10.18653/v1/2020.iwslt-1.18
%U https://aclanthology.org/2020.iwslt-1.18
%U https://doi.org/10.18653/v1/2020.iwslt-1.18
%P 149-157
Markdown (Informal)
[Xiaomi’s Submissions for IWSLT 2020 Open Domain Translation Task](https://aclanthology.org/2020.iwslt-1.18) (Sun et al., IWSLT 2020)
ACL