Transformer-based Neural Machine Translation System for Hindi – Marathi: WMT20 Shared Task
Amit Kumar, Rupjyoti Baruah, Rajesh Kumar Mundotiya, Anil Kumar Singh
Abstract
This paper reports the results for the Machine Translation (MT) system submitted by the NLPRL team for the Hindi – Marathi Similar Translation Task at WMT 2020. We apply the Transformer-based Neural Machine Translation (NMT) approach on both translation directions for this language pair. The trained model is evaluated on the corpus provided by shared task organizers, using BLEU, RIBES, and TER scores. There were a total of 23 systems submitted for Marathi to Hindi and 21 systems submitted for Hindi to Marathi in the shared task. Out of these, our submission ranked 6th and 9th, respectively.- Anthology ID:
- 2020.wmt-1.44
- 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:
- 393–395
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.44
- DOI:
- Cite (ACL):
- Amit Kumar, Rupjyoti Baruah, Rajesh Kumar Mundotiya, and Anil Kumar Singh. 2020. Transformer-based Neural Machine Translation System for Hindi – Marathi: WMT20 Shared Task. In Proceedings of the Fifth Conference on Machine Translation, pages 393–395, Online. Association for Computational Linguistics.
- Cite (Informal):
- Transformer-based Neural Machine Translation System for Hindi – Marathi: WMT20 Shared Task (Kumar et al., WMT 2020)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2020.wmt-1.44.pdf