Tilde’s Machine Translation Systems for WMT 2019

Marcis Pinnis, Rihards Krišlauks, Matīss Rikters


Abstract
The paper describes the development process of Tilde’s NMT systems for the WMT 2019 shared task on news translation. We trained systems for the English-Lithuanian and Lithuanian-English translation directions in constrained and unconstrained tracks. We build upon the best methods of the previous year’s competition and combine them with recent advancements in the field. We also present a new method to ensure source domain adherence in back-translated data. Our systems achieved a shared first place in human evaluation.
Anthology ID:
W19-5335
Volume:
Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
Month:
August
Year:
2019
Address:
Florence, Italy
Venues:
ACL | WMT | WS
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
327–334
Language:
URL:
https://aclanthology.org/W19-5335
DOI:
10.18653/v1/W19-5335
Bibkey:
Cite (ACL):
Marcis Pinnis, Rihards Krišlauks, and Matīss Rikters. 2019. Tilde’s Machine Translation Systems for WMT 2019. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 327–334, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Tilde’s Machine Translation Systems for WMT 2019 (Pinnis et al., 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-5335.pdf
Poster:
 W19-5335.Poster.pdf