Abstract
Recent work in Neural Machine Translation (NMT) has shown significant quality gains from noised-beam decoding during back-translation, a method to generate synthetic parallel data. We show that the main role of such synthetic noise is not to diversify the source side, as previously suggested, but simply to indicate to the model that the given source is synthetic. We propose a simpler alternative to noising techniques, consisting of tagging back-translated source sentences with an extra token. Our results on WMT outperform noised back-translation in English-Romanian and match performance on English-German, redefining the state-of-the-art on the former.- Anthology ID:
- W19-5206
- Volume:
- Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers)
- Month:
- August
- Year:
- 2019
- Address:
- Florence, Italy
- Editors:
- Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Marco Turchi, Karin Verspoor
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 53–63
- Language:
- URL:
- https://aclanthology.org/W19-5206
- DOI:
- 10.18653/v1/W19-5206
- Bibkey:
- Cite (ACL):
- Isaac Caswell, Ciprian Chelba, and David Grangier. 2019. Tagged Back-Translation. In Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers), pages 53–63, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Tagged Back-Translation (Caswell et al., WMT 2019)
- Copy Citation:
- PDF:
- https://aclanthology.org/W19-5206.pdf
Export citation
@inproceedings{caswell-etal-2019-tagged,
title = "Tagged Back-Translation",
author = "Caswell, Isaac and
Chelba, Ciprian and
Grangier, David",
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
Martins, Andr{\'e} and
Monz, Christof and
Negri, Matteo and
N{\'e}v{\'e}ol, Aur{\'e}lie and
Neves, Mariana and
Post, Matt and
Turchi, Marco and
Verspoor, Karin",
booktitle = "Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers)",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-5206",
doi = "10.18653/v1/W19-5206",
pages = "53--63",
abstract = "Recent work in Neural Machine Translation (NMT) has shown significant quality gains from noised-beam decoding during back-translation, a method to generate synthetic parallel data. We show that the main role of such synthetic noise is not to diversify the source side, as previously suggested, but simply to indicate to the model that the given source is synthetic. We propose a simpler alternative to noising techniques, consisting of tagging back-translated source sentences with an extra token. Our results on WMT outperform noised back-translation in English-Romanian and match performance on English-German, redefining the state-of-the-art on the former.",
}
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%0 Conference Proceedings %T Tagged Back-Translation %A Caswell, Isaac %A Chelba, Ciprian %A Grangier, David %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 Martins, André %Y Monz, Christof %Y Negri, Matteo %Y Névéol, Aurélie %Y Neves, Mariana %Y Post, Matt %Y Turchi, Marco %Y Verspoor, Karin %S Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers) %D 2019 %8 August %I Association for Computational Linguistics %C Florence, Italy %F caswell-etal-2019-tagged %X Recent work in Neural Machine Translation (NMT) has shown significant quality gains from noised-beam decoding during back-translation, a method to generate synthetic parallel data. We show that the main role of such synthetic noise is not to diversify the source side, as previously suggested, but simply to indicate to the model that the given source is synthetic. We propose a simpler alternative to noising techniques, consisting of tagging back-translated source sentences with an extra token. Our results on WMT outperform noised back-translation in English-Romanian and match performance on English-German, redefining the state-of-the-art on the former. %R 10.18653/v1/W19-5206 %U https://aclanthology.org/W19-5206 %U https://doi.org/10.18653/v1/W19-5206 %P 53-63
Markdown (Informal)
[Tagged Back-Translation](https://aclanthology.org/W19-5206) (Caswell et al., WMT 2019)
- Tagged Back-Translation (Caswell et al., WMT 2019)
ACL
- Isaac Caswell, Ciprian Chelba, and David Grangier. 2019. Tagged Back-Translation. In Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers), pages 53–63, Florence, Italy. Association for Computational Linguistics.