Correct Metadata for
Abstract
This paper describes the Neural Machine Translation system of IIIT-Hyderabad for the Gujarati→English news translation shared task of WMT19. Our system is basedon encoder-decoder framework with attention mechanism. We experimented with Multilingual Neural MT models. Our experiments show that Multilingual Neural Machine Translation leveraging parallel data from related language pairs helps in significant BLEU improvements upto 11.5, for low resource language pairs like Gujarati-English- Anthology ID:
- W19-5316
- 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:
- 191–195
- Language:
- URL:
- https://aclanthology.org/W19-5316/
- DOI:
- 10.18653/v1/W19-5316
- Bibkey:
- Cite (ACL):
- Vikrant Goyal and Dipti Misra Sharma. 2019. The IIIT-H Gujarati-English Machine Translation System for WMT19. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 191–195, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- The IIIT-H Gujarati-English Machine Translation System for WMT19 (Goyal & Sharma, WMT 2019)
- Copy Citation:
- PDF:
- https://aclanthology.org/W19-5316.pdf
Export citation
@inproceedings{goyal-sharma-2019-iiit,
title = "The {IIIT}-{H} {G}ujarati-{E}nglish Machine Translation System for {WMT}19",
author = "Goyal, Vikrant and
Sharma, Dipti Misra",
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/W19-5316/",
doi = "10.18653/v1/W19-5316",
pages = "191--195",
abstract = "This paper describes the Neural Machine Translation system of IIIT-Hyderabad for the Gujarati{\textrightarrow}English news translation shared task of WMT19. Our system is basedon encoder-decoder framework with attention mechanism. We experimented with Multilingual Neural MT models. Our experiments show that Multilingual Neural Machine Translation leveraging parallel data from related language pairs helps in significant BLEU improvements upto 11.5, for low resource language pairs like Gujarati-English"
}
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%0 Conference Proceedings %T The IIIT-H Gujarati-English Machine Translation System for WMT19 %A Goyal, Vikrant %A Sharma, Dipti Misra %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 goyal-sharma-2019-iiit %X This paper describes the Neural Machine Translation system of IIIT-Hyderabad for the Gujarati→English news translation shared task of WMT19. Our system is basedon encoder-decoder framework with attention mechanism. We experimented with Multilingual Neural MT models. Our experiments show that Multilingual Neural Machine Translation leveraging parallel data from related language pairs helps in significant BLEU improvements upto 11.5, for low resource language pairs like Gujarati-English %R 10.18653/v1/W19-5316 %U https://aclanthology.org/W19-5316/ %U https://doi.org/10.18653/v1/W19-5316 %P 191-195
Markdown (Informal)
[The IIIT-H Gujarati-English Machine Translation System for WMT19](https://aclanthology.org/W19-5316/) (Goyal & Sharma, WMT 2019)
- The IIIT-H Gujarati-English Machine Translation System for WMT19 (Goyal & Sharma, WMT 2019)
ACL
- Vikrant Goyal and Dipti Misra Sharma. 2019. The IIIT-H Gujarati-English Machine Translation System for WMT19. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 191–195, Florence, Italy. Association for Computational Linguistics.