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:
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2020.wmt-1.55.pdf