The Universitat d’Alacant Submissions to the English-to-Kazakh News Translation Task at WMT 2019

Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez


Abstract
This paper describes the two submissions of Universitat d’Alacant to the English-to-Kazakh news translation task at WMT 2019. Our submissions take advantage of monolingual data and parallel data from other language pairs by means of iterative backtranslation, pivot backtranslation and transfer learning. They also use linguistic information in two ways: morphological segmentation of Kazakh text, and integration of the output of a rule-based machine translation system. Our systems were ranked second in terms of chrF++ despite being built from an ensemble of only 2 independent training runs.
Anthology ID:
W19-5339
Volume:
Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
Month:
August
Year:
2019
Address:
Florence, Italy
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
356–363
Language:
URL:
https://aclanthology.org/W19-5339
DOI:
10.18653/v1/W19-5339
Bibkey:
Cite (ACL):
Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, and Felipe Sánchez-Martínez. 2019. The Universitat d’Alacant Submissions to the English-to-Kazakh News Translation Task at WMT 2019. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 356–363, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
The Universitat d’Alacant Submissions to the English-to-Kazakh News Translation Task at WMT 2019 (Sánchez-Cartagena et al., WMT 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-5339.pdf