Abstract
We participated in the WMT 2018 shared news translation task in three language pairs: English-Estonian, English-Finnish, and English-Czech. Our main focus was the low-resource language pair of Estonian and English for which we utilized Finnish parallel data in a simple method. We first train a “parent model” for the high-resource language pair followed by adaptation on the related low-resource language pair. This approach brings a substantial performance boost over the baseline system trained only on Estonian-English parallel data. Our systems are based on the Transformer architecture. For the English to Czech translation, we have evaluated our last year models of hybrid phrase-based approach and neural machine translation mainly for comparison purposes.- Anthology ID:
- W18-6416
- 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:
- 431–437
- Language:
- URL:
- https://aclanthology.org/W18-6416
- DOI:
- 10.18653/v1/W18-6416
- Bibkey:
- Cite (ACL):
- Tom Kocmi, Roman Sudarikov, and Ondřej Bojar. 2018. CUNI Submissions in WMT18. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 431–437, Belgium, Brussels. Association for Computational Linguistics.
- Cite (Informal):
- CUNI Submissions in WMT18 (Kocmi et al., WMT 2018)
- Copy Citation:
- PDF:
- https://aclanthology.org/W18-6416.pdf
- Data
- WMT 2018
Export citation
@inproceedings{kocmi-etal-2018-cuni,
title = "{CUNI} Submissions in {WMT}18",
author = "Kocmi, Tom and
Sudarikov, Roman and
Bojar, Ond{\v{r}}ej",
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/W18-6416",
doi = "10.18653/v1/W18-6416",
pages = "431--437",
abstract = "We participated in the WMT 2018 shared news translation task in three language pairs: English-Estonian, English-Finnish, and English-Czech. Our main focus was the low-resource language pair of Estonian and English for which we utilized Finnish parallel data in a simple method. We first train a {``}parent model{''} for the high-resource language pair followed by adaptation on the related low-resource language pair. This approach brings a substantial performance boost over the baseline system trained only on Estonian-English parallel data. Our systems are based on the Transformer architecture. For the English to Czech translation, we have evaluated our last year models of hybrid phrase-based approach and neural machine translation mainly for comparison purposes.",
}
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%0 Conference Proceedings %T CUNI Submissions in WMT18 %A Kocmi, Tom %A Sudarikov, Roman %A Bojar, Ondřej %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 kocmi-etal-2018-cuni %X We participated in the WMT 2018 shared news translation task in three language pairs: English-Estonian, English-Finnish, and English-Czech. Our main focus was the low-resource language pair of Estonian and English for which we utilized Finnish parallel data in a simple method. We first train a “parent model” for the high-resource language pair followed by adaptation on the related low-resource language pair. This approach brings a substantial performance boost over the baseline system trained only on Estonian-English parallel data. Our systems are based on the Transformer architecture. For the English to Czech translation, we have evaluated our last year models of hybrid phrase-based approach and neural machine translation mainly for comparison purposes. %R 10.18653/v1/W18-6416 %U https://aclanthology.org/W18-6416 %U https://doi.org/10.18653/v1/W18-6416 %P 431-437
Markdown (Informal)
[CUNI Submissions in WMT18](https://aclanthology.org/W18-6416) (Kocmi et al., WMT 2018)
- CUNI Submissions in WMT18 (Kocmi et al., WMT 2018)
ACL
- Tom Kocmi, Roman Sudarikov, and Ondřej Bojar. 2018. CUNI Submissions in WMT18. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 431–437, Belgium, Brussels. Association for Computational Linguistics.