The AFRL WMT18 Systems: Ensembling, Continuation and Combination

Jeremy Gwinnup, Tim Anderson, Grant Erdmann, Katherine Young


Abstract
This paper describes the Air Force Research Laboratory (AFRL) machine translation systems and the improvements that were developed during the WMT18 evaluation campaign. This year, we examined the developments and additions to popular neural machine translation toolkits and measure improvements in performance on the Russian–English language pair.
Anthology ID:
W18-6411
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:
394–398
Language:
URL:
https://www.aclweb.org/anthology/W18-6411
DOI:
10.18653/v1/W18-6411
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/W18-6411.pdf