The RWTH Aachen German-English Machine Translation System for WMT 2014
Stephan Peitz, Joern Wuebker, Markus Freitag, Hermann Ney · 2014
This paper describes the statistical machine translation (SMT) systems developed at RWTH Aachen University for the German→English translation task of the ACL 2014 Eighth Workshop on Statistical Machine Translation (WMT 2014).Both hierarchical and phrase-based SMT systems are applied employing hierarchical phrase reordering and word class language models.For the phrase-based system, we run discriminative phrase training.In addition, we describe our preprocessing pipeline for German→English.