The University of Maryland’s Chinese-English Neural Machine Translation Systems at WMT18

Weijia Xu, Marine Carpuat


Abstract
This paper describes the University of Maryland’s submission to the WMT 2018 Chinese↔English news translation tasks. Our systems are BPE-based self-attentional Transformer networks with parallel and backtranslated monolingual training data. Using ensembling and reranking, we improve over the Transformer baseline by +1.4 BLEU for Chinese→English and +3.97 BLEU for English→Chinese on newstest2017. Our best systems reach BLEU scores of 24.4 for Chinese→English and 39.0 for English→Chinese on newstest2018.
Anthology ID:
W18-6431
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:
535–540
Language:
URL:
https://www.aclweb.org/anthology/W18-6431
DOI:
10.18653/v1/W18-6431
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/W18-6431.pdf