The MLLP-UPV German-English Machine Translation System for WMT18
This paper describes the statistical machine translation system built by the MLLP research group of Universitat Polit{\`e}cnica de Val{\`e}ncia for the German→English news translation shared task of the EMNLP 2018 Third Conference on Machine Translation (WMT18). We used an ensemble of Transformer architecture{--}based neural machine translation systems. To train our system under {``}constrained{''} conditions, we filtered the provided parallel data with a scoring technique using character-based language models, and we added parallel data based on synthetic source sentences generated from the provided monolingual corpora.
PDF Abstract
Datasets
WMT 2018
WMT 2015
WMT 2018 News
Results from the Paper
Submit
results from this paper
to get state-of-the-art GitHub badges and help the
community compare results to other papers.
