Abstract
This paper describes the University of Maryland’s submission to the WMT 2018 Chinese↔English news translation tasks. Our systems are BPE-based self-attentional Transformer networks with parallel and backtranslated monolingual training data. Using ensembling and reranking, we improve over the Transformer baseline by +1.4 BLEU for Chinese→English and +3.97 BLEU for English→Chinese on newstest2017. Our best systems reach BLEU scores of 24.4 for Chinese→English and 39.0 for English→Chinese on newstest2018.- Anthology ID:
- W18-6431
- Volume:
- Proceedings of the Third Conference on Machine Translation: Shared Task Papers
- Month:
- October
- Year:
- 2018
- Address:
- Belgium, Brussels
- Editors:
- Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Lucia Specia, Marco Turchi, Karin Verspoor
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 535–540
- Language:
- URL:
- https://aclanthology.org/W18-6431
- DOI:
- 10.18653/v1/W18-6431
- Bibkey:
- Cite (ACL):
- Weijia Xu and Marine Carpuat. 2018. The University of Maryland’s Chinese-English Neural Machine Translation Systems at WMT18. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 535–540, Belgium, Brussels. Association for Computational Linguistics.
- Cite (Informal):
- The University of Maryland’s Chinese-English Neural Machine Translation Systems at WMT18 (Xu & Carpuat, WMT 2018)
- Copy Citation:
- PDF:
- https://aclanthology.org/W18-6431.pdf
Export citation
@inproceedings{xu-carpuat-2018-university,
title = "The {U}niversity of {M}aryland{'}s {C}hinese-{E}nglish Neural Machine Translation Systems at {WMT}18",
author = "Xu, Weijia and
Carpuat, Marine",
editor = "Bojar, Ond{\v{r}}ej and
Chatterjee, Rajen and
Federmann, Christian and
Fishel, Mark and
Graham, Yvette and
Haddow, Barry and
Huck, Matthias and
Yepes, Antonio Jimeno and
Koehn, Philipp and
Monz, Christof and
Negri, Matteo and
N{\'e}v{\'e}ol, Aur{\'e}lie and
Neves, Mariana and
Post, Matt and
Specia, Lucia and
Turchi, Marco and
Verspoor, Karin",
booktitle = "Proceedings of the Third Conference on Machine Translation: Shared Task Papers",
month = oct,
year = "2018",
address = "Belgium, Brussels",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-6431",
doi = "10.18653/v1/W18-6431",
pages = "535--540",
abstract = "This paper describes the University of Maryland{'}s submission to the WMT 2018 Chinese↔English news translation tasks. Our systems are BPE-based self-attentional Transformer networks with parallel and backtranslated monolingual training data. Using ensembling and reranking, we improve over the Transformer baseline by +1.4 BLEU for Chinese→English and +3.97 BLEU for English→Chinese on \textit{newstest2017}. Our best systems reach BLEU scores of 24.4 for Chinese→English and 39.0 for English→Chinese on \textit{newstest2018}.",
}
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%0 Conference Proceedings %T The University of Maryland’s Chinese-English Neural Machine Translation Systems at WMT18 %A Xu, Weijia %A Carpuat, Marine %Y Bojar, Ondřej %Y Chatterjee, Rajen %Y Federmann, Christian %Y Fishel, Mark %Y Graham, Yvette %Y Haddow, Barry %Y Huck, Matthias %Y Yepes, Antonio Jimeno %Y Koehn, Philipp %Y Monz, Christof %Y Negri, Matteo %Y Névéol, Aurélie %Y Neves, Mariana %Y Post, Matt %Y Specia, Lucia %Y Turchi, Marco %Y Verspoor, Karin %S Proceedings of the Third Conference on Machine Translation: Shared Task Papers %D 2018 %8 October %I Association for Computational Linguistics %C Belgium, Brussels %F xu-carpuat-2018-university %X This paper describes the University of Maryland’s submission to the WMT 2018 Chinese↔English news translation tasks. Our systems are BPE-based self-attentional Transformer networks with parallel and backtranslated monolingual training data. Using ensembling and reranking, we improve over the Transformer baseline by +1.4 BLEU for Chinese→English and +3.97 BLEU for English→Chinese on newstest2017. Our best systems reach BLEU scores of 24.4 for Chinese→English and 39.0 for English→Chinese on newstest2018. %R 10.18653/v1/W18-6431 %U https://aclanthology.org/W18-6431 %U https://doi.org/10.18653/v1/W18-6431 %P 535-540
Markdown (Informal)
[The University of Maryland’s Chinese-English Neural Machine Translation Systems at WMT18](https://aclanthology.org/W18-6431) (Xu & Carpuat, WMT 2018)
- The University of Maryland’s Chinese-English Neural Machine Translation Systems at WMT18 (Xu & Carpuat, WMT 2018)
ACL
- Weijia Xu and Marine Carpuat. 2018. The University of Maryland’s Chinese-English Neural Machine Translation Systems at WMT18. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 535–540, Belgium, Brussels. Association for Computational Linguistics.