JUMT at WMT2019 News Translation Task: A Hybrid Approach to Machine Translation for Lithuanian to English
Sainik Kumar Mahata, Avishek Garain, Adityar Rayala, Dipankar Das, Sivaji Bandyopadhyay
Abstract
In the current work, we present a description of the system submitted to WMT 2019 News Translation Shared task. The system was created to translate news text from Lithuanian to English. To accomplish the given task, our system used a Word Embedding based Neural Machine Translation model to post edit the outputs generated by a Statistical Machine Translation model. The current paper documents the architecture of our model, descriptions of the various modules and the results produced using the same. Our system garnered a BLEU score of 17.6.- Anthology ID:
- W19-5328
- 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:
- 283–286
- Language:
- URL:
- https://aclanthology.org/W19-5328
- DOI:
- 10.18653/v1/W19-5328
- Bibkey:
- Cite (ACL):
- Sainik Kumar Mahata, Avishek Garain, Adityar Rayala, Dipankar Das, and Sivaji Bandyopadhyay. 2019. JUMT at WMT2019 News Translation Task: A Hybrid Approach to Machine Translation for Lithuanian to English. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 283–286, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- JUMT at WMT2019 News Translation Task: A Hybrid Approach to Machine Translation for Lithuanian to English (Mahata et al., WMT 2019)
- Copy Citation:
- PDF:
- https://aclanthology.org/W19-5328.pdf
Export citation
@inproceedings{mahata-etal-2019-jumt,
title = "{JUMT} at {WMT}2019 News Translation Task: A Hybrid Approach to Machine Translation for {L}ithuanian to {E}nglish",
author = "Mahata, Sainik Kumar and
Garain, Avishek and
Rayala, Adityar and
Das, Dipankar and
Bandyopadhyay, Sivaji",
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/W19-5328",
doi = "10.18653/v1/W19-5328",
pages = "283--286",
abstract = "In the current work, we present a description of the system submitted to WMT 2019 News Translation Shared task. The system was created to translate news text from Lithuanian to English. To accomplish the given task, our system used a Word Embedding based Neural Machine Translation model to post edit the outputs generated by a Statistical Machine Translation model. The current paper documents the architecture of our model, descriptions of the various modules and the results produced using the same. Our system garnered a BLEU score of 17.6.",
}
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%0 Conference Proceedings %T JUMT at WMT2019 News Translation Task: A Hybrid Approach to Machine Translation for Lithuanian to English %A Mahata, Sainik Kumar %A Garain, Avishek %A Rayala, Adityar %A Das, Dipankar %A Bandyopadhyay, Sivaji %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 mahata-etal-2019-jumt %X In the current work, we present a description of the system submitted to WMT 2019 News Translation Shared task. The system was created to translate news text from Lithuanian to English. To accomplish the given task, our system used a Word Embedding based Neural Machine Translation model to post edit the outputs generated by a Statistical Machine Translation model. The current paper documents the architecture of our model, descriptions of the various modules and the results produced using the same. Our system garnered a BLEU score of 17.6. %R 10.18653/v1/W19-5328 %U https://aclanthology.org/W19-5328 %U https://doi.org/10.18653/v1/W19-5328 %P 283-286
Markdown (Informal)
[JUMT at WMT2019 News Translation Task: A Hybrid Approach to Machine Translation for Lithuanian to English](https://aclanthology.org/W19-5328) (Mahata et al., WMT 2019)
- JUMT at WMT2019 News Translation Task: A Hybrid Approach to Machine Translation for Lithuanian to English (Mahata et al., WMT 2019)
ACL
- Sainik Kumar Mahata, Avishek Garain, Adityar Rayala, Dipankar Das, and Sivaji Bandyopadhyay. 2019. JUMT at WMT2019 News Translation Task: A Hybrid Approach to Machine Translation for Lithuanian to English. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 283–286, Florence, Italy. Association for Computational Linguistics.