IITP-MT System for Gujarati-English News Translation Task at WMT 2019
Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal, Pushpak Bhattacharyya
Abstract
We describe our submission to WMT 2019 News translation shared task for Gujarati-English language pair. We submit constrained systems, i.e, we rely on the data provided for this language pair and do not use any external data. We train Transformer based subword-level neural machine translation (NMT) system using original parallel corpus along with synthetic parallel corpus obtained through back-translation of monolingual data. Our primary systems achieve BLEU scores of 10.4 and 8.1 for Gujarati→English and English→Gujarati, respectively. We observe that incorporating monolingual data through back-translation improves the BLEU score significantly over baseline NMT and SMT systems for this language pair.- Anthology ID:
- W19-5346
- Volume:
- Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
- 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:
- 407–411
- Language:
- URL:
- https://aclanthology.org/W19-5346
- DOI:
- 10.18653/v1/W19-5346
- Bibkey:
- Cite (ACL):
- Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal, and Pushpak Bhattacharyya. 2019. IITP-MT System for Gujarati-English News Translation Task at WMT 2019. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 407–411, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- IITP-MT System for Gujarati-English News Translation Task at WMT 2019 (Sen et al., WMT 2019)
- Copy Citation:
- PDF:
- https://aclanthology.org/W19-5346.pdf
Export citation
@inproceedings{sen-etal-2019-iitp,
title = "{IITP}-{MT} System for {G}ujarati-{E}nglish News Translation Task at {WMT} 2019",
author = "Sen, Sukanta and
Gupta, Kamal Kumar and
Ekbal, Asif and
Bhattacharyya, Pushpak",
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 2: Shared Task Papers, Day 1)",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-5346",
doi = "10.18653/v1/W19-5346",
pages = "407--411",
abstract = "We describe our submission to WMT 2019 News translation shared task for Gujarati-English language pair. We submit constrained systems, i.e, we rely on the data provided for this language pair and do not use any external data. We train Transformer based subword-level neural machine translation (NMT) system using original parallel corpus along with synthetic parallel corpus obtained through back-translation of monolingual data. Our primary systems achieve BLEU scores of 10.4 and 8.1 for Gujarati→English and English→Gujarati, respectively. We observe that incorporating monolingual data through back-translation improves the BLEU score significantly over baseline NMT and SMT systems for this language pair.",
}
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%0 Conference Proceedings %T IITP-MT System for Gujarati-English News Translation Task at WMT 2019 %A Sen, Sukanta %A Gupta, Kamal Kumar %A Ekbal, Asif %A Bhattacharyya, Pushpak %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 2: Shared Task Papers, Day 1) %D 2019 %8 August %I Association for Computational Linguistics %C Florence, Italy %F sen-etal-2019-iitp %X We describe our submission to WMT 2019 News translation shared task for Gujarati-English language pair. We submit constrained systems, i.e, we rely on the data provided for this language pair and do not use any external data. We train Transformer based subword-level neural machine translation (NMT) system using original parallel corpus along with synthetic parallel corpus obtained through back-translation of monolingual data. Our primary systems achieve BLEU scores of 10.4 and 8.1 for Gujarati→English and English→Gujarati, respectively. We observe that incorporating monolingual data through back-translation improves the BLEU score significantly over baseline NMT and SMT systems for this language pair. %R 10.18653/v1/W19-5346 %U https://aclanthology.org/W19-5346 %U https://doi.org/10.18653/v1/W19-5346 %P 407-411
Markdown (Informal)
[IITP-MT System for Gujarati-English News Translation Task at WMT 2019](https://aclanthology.org/W19-5346) (Sen et al., WMT 2019)
- IITP-MT System for Gujarati-English News Translation Task at WMT 2019 (Sen et al., WMT 2019)
ACL
- Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal, and Pushpak Bhattacharyya. 2019. IITP-MT System for Gujarati-English News Translation Task at WMT 2019. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 407–411, Florence, Italy. Association for Computational Linguistics.