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The ADAPT centre’s participation in WAT 2020 English-to-Odia translation task

Nayak, Prashanth, Haque, Rejwanul orcid logoORCID: 0000-0003-1680-0099 and Way, Andy orcid logoORCID: 0000-0001-5736-5930 (2020) The ADAPT centre’s participation in WAT 2020 English-to-Odia translation task. In: WAT2020 :The 7th Workshop on Asian Translation, 4-7 Dec 2020, Suzhou, China (Online).

This paper describes the ADAPT Centre submissions 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 Transformer in a low-resource scenario. Our best MT system produces 4.96 BLEU points on the evaluation test set in the English-to-Odia translation task
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Subjects:Computer Science > Computational linguistics
Computer Science > Machine learning
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > ADAPT
Published in: Proceedings of the 7th Workshop on Asian Translation (WAT2020). . Association for Computational Linguistics (ACL).
Publisher:Association for Computational Linguistics (ACL)
Official URL:https://www.aclweb.org/anthology/2020.wat-1.17/
Copyright Information:© 2020 The Authors (CC-BY-4.0)
Funders:Science Foundation Ireland (SFI) Research Centres Programme (Grant No. 13/RC/2106), European Regional Development Fund, European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 713567, Science Foundation Ireland (SFI) Grant Number 13/RC/2077 and 18/CRT/6224 .
ID Code:25462
Deposited On:08 Feb 2021 11:28 by Prashanth Nayak . Last Modified 08 Feb 2021 11:28

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