The ADAPT Centre’s Participation in WAT 2020 English-to-Odia Translation Task

Prashanth Nayak, Rejwanul Haque, Andy Way


Abstract
This paper describes the ADAPT Centre sub-missions to WAT 2020 for the English-to-Odia translation task. We present the approaches that we followed to try to build competitive machine translation (MT) systems for English-to-Odia. Our approaches include monolingual data selection for creating synthetic data and identifying optimal sets of hyperparameters for the Transformer in a low-resource scenario. Our best MT system produces 4.96BLEU points on the evaluation test set in the English-to-Odia translation task.
Anthology ID:
2020.wat-1.12
Volume:
Proceedings of the 7th Workshop on Asian Translation
Month:
December
Year:
2020
Address:
Suzhou, China
Venue:
WAT
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
114–117
Language:
URL:
https://aclanthology.org/2020.wat-1.12
DOI:
Bibkey:
Cite (ACL):
Prashanth Nayak, Rejwanul Haque, and Andy Way. 2020. The ADAPT Centre’s Participation in WAT 2020 English-to-Odia Translation Task. In Proceedings of the 7th Workshop on Asian Translation, pages 114–117, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):
The ADAPT Centre’s Participation in WAT 2020 English-to-Odia Translation Task (Nayak et al., WAT 2020)
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PDF:
https://preview.aclanthology.org/ingestion-script-update/2020.wat-1.12.pdf