Abstract
In this paper, we describe our submissions for Similar Language Translation Shared Task 2020. We built 12 systems in each direction for Hindi⇐⇒Marathi language pair. This paper outlines initial baseline experiments with various tokenization schemes to train statistical models. Using optimal tokenization scheme among these we created synthetic source side text with back translation. And prune synthetic text with language model scores. This synthetic data was then used along with training data in various settings to build translation models. We also report configuration of the submitted systems and results produced by them.- Anthology ID:
- 2020.wmt-1.55
- Volume:
- Proceedings of the Fifth Conference on Machine Translation
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Editors:
- Loïc Barrault, Ondřej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Yvette Graham, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 451–455
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.55
- DOI:
- Bibkey:
- Cite (ACL):
- Saumitra Yadav and Manish Shrivastava. 2020. A3-108 Machine Translation System for Similar Language Translation Shared Task 2020. In Proceedings of the Fifth Conference on Machine Translation, pages 451–455, Online. Association for Computational Linguistics.
- Cite (Informal):
- A3-108 Machine Translation System for Similar Language Translation Shared Task 2020 (Yadav & Shrivastava, WMT 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.wmt-1.55.pdf
- Video:
- https://slideslive.com/38939590
Export citation
@inproceedings{yadav-shrivastava-2020-a3,
title = "A3-108 Machine Translation System for Similar Language Translation Shared Task 2020",
author = "Yadav, Saumitra and
Shrivastava, Manish",
editor = {Barrault, Lo{\"\i}c and
Bojar, Ond{\v{r}}ej and
Bougares, Fethi and
Chatterjee, Rajen and
Costa-juss{\`a}, Marta R. and
Federmann, Christian and
Fishel, Mark and
Fraser, Alexander and
Graham, Yvette and
Guzman, Paco and
Haddow, Barry and
Huck, Matthias and
Yepes, Antonio Jimeno and
Koehn, Philipp and
Martins, Andr{\'e} and
Morishita, Makoto and
Monz, Christof and
Nagata, Masaaki and
Nakazawa, Toshiaki and
Negri, Matteo},
booktitle = "Proceedings of the Fifth Conference on Machine Translation",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.wmt-1.55",
pages = "451--455",
abstract = "In this paper, we describe our submissions for Similar Language Translation Shared Task 2020. We built 12 systems in each direction for Hindi⇐⇒Marathi language pair. This paper outlines initial baseline experiments with various tokenization schemes to train statistical models. Using optimal tokenization scheme among these we created synthetic source side text with back translation. And prune synthetic text with language model scores. This synthetic data was then used along with training data in various settings to build translation models. We also report configuration of the submitted systems and results produced by them.",
}
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%0 Conference Proceedings %T A3-108 Machine Translation System for Similar Language Translation Shared Task 2020 %A Yadav, Saumitra %A Shrivastava, Manish %Y Barrault, Loïc %Y Bojar, Ondřej %Y Bougares, Fethi %Y Chatterjee, Rajen %Y Costa-jussà, Marta R. %Y Federmann, Christian %Y Fishel, Mark %Y Fraser, Alexander %Y Graham, Yvette %Y Guzman, Paco %Y Haddow, Barry %Y Huck, Matthias %Y Yepes, Antonio Jimeno %Y Koehn, Philipp %Y Martins, André %Y Morishita, Makoto %Y Monz, Christof %Y Nagata, Masaaki %Y Nakazawa, Toshiaki %Y Negri, Matteo %S Proceedings of the Fifth Conference on Machine Translation %D 2020 %8 November %I Association for Computational Linguistics %C Online %F yadav-shrivastava-2020-a3 %X In this paper, we describe our submissions for Similar Language Translation Shared Task 2020. We built 12 systems in each direction for Hindi⇐⇒Marathi language pair. This paper outlines initial baseline experiments with various tokenization schemes to train statistical models. Using optimal tokenization scheme among these we created synthetic source side text with back translation. And prune synthetic text with language model scores. This synthetic data was then used along with training data in various settings to build translation models. We also report configuration of the submitted systems and results produced by them. %U https://aclanthology.org/2020.wmt-1.55 %P 451-455
Markdown (Informal)
[A3-108 Machine Translation System for Similar Language Translation Shared Task 2020](https://aclanthology.org/2020.wmt-1.55) (Yadav & Shrivastava, WMT 2020)
- A3-108 Machine Translation System for Similar Language Translation Shared Task 2020 (Yadav & Shrivastava, WMT 2020)
ACL
- Saumitra Yadav and Manish Shrivastava. 2020. A3-108 Machine Translation System for Similar Language Translation Shared Task 2020. In Proceedings of the Fifth Conference on Machine Translation, pages 451–455, Online. Association for Computational Linguistics.