The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018
Miguel Graça, Yunsu Kim, Julian Schamper, Jiahui Geng, Hermann Ney
Abstract
This paper describes the unsupervised neural machine translation (NMT) systems of the RWTH Aachen University developed for the English ↔ German news translation task of the EMNLP 2018 Third Conference on Machine Translation (WMT 2018). Our work is based on iterative back-translation using a shared encoder-decoder NMT model. We extensively compare different vocabulary types, word embedding initialization schemes and optimization methods for our model. We also investigate gating and weight normalization for the word embedding layer.- Anthology ID:
- W18-6409
- 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:
- 377–385
- Language:
- URL:
- https://aclanthology.org/W18-6409
- DOI:
- 10.18653/v1/W18-6409
- Bibkey:
- Cite (ACL):
- Miguel Graça, Yunsu Kim, Julian Schamper, Jiahui Geng, and Hermann Ney. 2018. The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 377–385, Belgium, Brussels. Association for Computational Linguistics.
- Cite (Informal):
- The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018 (Graça et al., WMT 2018)
- Copy Citation:
- PDF:
- https://aclanthology.org/W18-6409.pdf
Export citation
@inproceedings{graca-etal-2018-rwth,
title = "The {RWTH} {A}achen {U}niversity {E}nglish-{G}erman and {G}erman-{E}nglish Unsupervised Neural Machine Translation Systems for {WMT} 2018",
author = "Gra{\c{c}}a, Miguel and
Kim, Yunsu and
Schamper, Julian and
Geng, Jiahui and
Ney, Hermann",
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/W18-6409",
doi = "10.18653/v1/W18-6409",
pages = "377--385",
abstract = "This paper describes the unsupervised neural machine translation (NMT) systems of the RWTH Aachen University developed for the English ↔ German news translation task of the \textit{EMNLP 2018 Third Conference on Machine Translation} (WMT 2018). Our work is based on iterative back-translation using a shared encoder-decoder NMT model. We extensively compare different vocabulary types, word embedding initialization schemes and optimization methods for our model. We also investigate gating and weight normalization for the word embedding layer.",
}
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%0 Conference Proceedings %T The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018 %A Graça, Miguel %A Kim, Yunsu %A Schamper, Julian %A Geng, Jiahui %A Ney, Hermann %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 graca-etal-2018-rwth %X This paper describes the unsupervised neural machine translation (NMT) systems of the RWTH Aachen University developed for the English ↔ German news translation task of the EMNLP 2018 Third Conference on Machine Translation (WMT 2018). Our work is based on iterative back-translation using a shared encoder-decoder NMT model. We extensively compare different vocabulary types, word embedding initialization schemes and optimization methods for our model. We also investigate gating and weight normalization for the word embedding layer. %R 10.18653/v1/W18-6409 %U https://aclanthology.org/W18-6409 %U https://doi.org/10.18653/v1/W18-6409 %P 377-385
Markdown (Informal)
[The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018](https://aclanthology.org/W18-6409) (Graça et al., WMT 2018)
- The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018 (Graça et al., WMT 2018)
ACL
- Miguel Graça, Yunsu Kim, Julian Schamper, Jiahui Geng, and Hermann Ney. 2018. The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 377–385, Belgium, Brussels. Association for Computational Linguistics.