The JHU Machine Translation Systems for WMT 2018

Philipp Koehn, Kevin Duh, Brian Thompson


Abstract
We report on the efforts of the Johns Hopkins University to develop neural machine translation systems for the shared task for news translation organized around the Conference for Machine Translation (WMT) 2018. We developed systems for German–English, English– German, and Russian–English. Our novel contributions are iterative back-translation and fine-tuning on test sets from prior years.
Anthology ID:
W18-6417
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:
438–444
Language:
URL:
https://www.aclweb.org/anthology/W18-6417
DOI:
10.18653/v1/W18-6417
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/W18-6417.pdf