The RWTH Aachen University English-German and German-English Machine Translation System for WMT 2017
Jan-Thorsten Peter, Andreas Guta, Tamer Alkhouli, Parnia Bahar, Jan Rosendahl, Nick Rossenbach, Miguel Graça, Hermann Ney · 2017
This paper describes the statistical machine translation system developed at RWTH Aachen University for the English→German and German→English translation tasks of the EMNLP 2017 Second Conference on Machine Translation (WMT 2017).We use ensembles of attention-based neural machine translation system for both directions.We use the provided parallel and synthetic data to train the models.In addition, we also create a phrasal system using joint translation and reordering models in decoding and neural models in rescoring.