The MLLP-UPV German-English Machine Translation System for WMT18
Javier Iranzo-S{\'a}nchez, Pau Baquero-Arnal, Gon{\c{c}}al V. Garc{\'e}s D{\'\i}az-Mun{\'\i}o, Adri{\`a} Mart{\'\i}nez-Villaronga, Jorge Civera, Alfons Juan
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This paper describes the statistical machine translation system built by the MLLP research group of Universitat Polit\`ecnica de Val\`encia 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.