Abstract
The University of Cambridge submission to the WMT18 news translation task focuses on the combination of diverse models of translation. We compare recurrent, convolutional, and self-attention-based neural models on German-English, English-German, and Chinese-English. Our final system combines all neural models together with a phrase-based SMT system in an MBR-based scheme. We report small but consistent gains on top of strong Transformer ensembles.- Anthology ID:
- W18-6427
- 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:
- 504–512
- Language:
- URL:
- https://aclanthology.org/W18-6427
- DOI:
- 10.18653/v1/W18-6427
- Bibkey:
- Cite (ACL):
- Felix Stahlberg, Adrià de Gispert, and Bill Byrne. 2018. The University of Cambridge’s Machine Translation Systems for WMT18. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 504–512, Belgium, Brussels. Association for Computational Linguistics.
- Cite (Informal):
- The University of Cambridge’s Machine Translation Systems for WMT18 (Stahlberg et al., WMT 2018)
- Copy Citation:
- PDF:
- https://aclanthology.org/W18-6427.pdf
Export citation
@inproceedings{stahlberg-etal-2018-university,
title = "The {U}niversity of {C}ambridge{'}s Machine Translation Systems for {WMT}18",
author = "Stahlberg, Felix and
de Gispert, Adri{\`a} and
Byrne, Bill",
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/W18-6427",
doi = "10.18653/v1/W18-6427",
pages = "504--512",
abstract = "The University of Cambridge submission to the WMT18 news translation task focuses on the combination of diverse models of translation. We compare recurrent, convolutional, and self-attention-based neural models on German-English, English-German, and Chinese-English. Our final system combines all neural models together with a phrase-based SMT system in an MBR-based scheme. We report small but consistent gains on top of strong Transformer ensembles.",
}
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%0 Conference Proceedings %T The University of Cambridge’s Machine Translation Systems for WMT18 %A Stahlberg, Felix %A de Gispert, Adrià %A Byrne, Bill %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 stahlberg-etal-2018-university %X The University of Cambridge submission to the WMT18 news translation task focuses on the combination of diverse models of translation. We compare recurrent, convolutional, and self-attention-based neural models on German-English, English-German, and Chinese-English. Our final system combines all neural models together with a phrase-based SMT system in an MBR-based scheme. We report small but consistent gains on top of strong Transformer ensembles. %R 10.18653/v1/W18-6427 %U https://aclanthology.org/W18-6427 %U https://doi.org/10.18653/v1/W18-6427 %P 504-512
Markdown (Informal)
[The University of Cambridge’s Machine Translation Systems for WMT18](https://aclanthology.org/W18-6427) (Stahlberg et al., WMT 2018)
- The University of Cambridge’s Machine Translation Systems for WMT18 (Stahlberg et al., WMT 2018)
ACL
- Felix Stahlberg, Adrià de Gispert, and Bill Byrne. 2018. The University of Cambridge’s Machine Translation Systems for WMT18. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 504–512, Belgium, Brussels. Association for Computational Linguistics.