CUNI Submissions in WMT18

Tom Kocmi, Roman Sudarikov, Ondřej Bojar


Abstract
We participated in the WMT 2018 shared news translation task in three language pairs: English-Estonian, English-Finnish, and English-Czech. Our main focus was the low-resource language pair of Estonian and English for which we utilized Finnish parallel data in a simple method. We first train a “parent model” for the high-resource language pair followed by adaptation on the related low-resource language pair. This approach brings a substantial performance boost over the baseline system trained only on Estonian-English parallel data. Our systems are based on the Transformer architecture. For the English to Czech translation, we have evaluated our last year models of hybrid phrase-based approach and neural machine translation mainly for comparison purposes.
Anthology ID:
W18-6416
Volume:
Proceedings of the Third Conference on Machine Translation: Shared Task Papers
Month:
October
Year:
2018
Address:
Belgium, Brussels
Venues:
EMNLP | WMT | WS
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
431–437
Language:
URL:
https://www.aclweb.org/anthology/W18-6416
DOI:
10.18653/v1/W18-6416
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/W18-6416.pdf