The ADAPT centre’s participation in WAT 2020 English-to-Odia
translation task
Nayak, Prashanth, Haque, RejwanulORCID: 0000-0003-1680-0099 and Way, AndyORCID: 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
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