The U niversity of E dinburgh’s submission to the G erman-to- E nglish and E nglish-to- G erman Tracks in the WMT 2020 News Translation and Zero-shot Translation Robustness Tasks (2020)

Abstract: This paper describes the University of Edinburgh’s submission of German <-> English systems to the WMT2020 Shared Tasks on News Translation and Zero-shot Robustness.

## introduction this paper describes the university of edinburgh's submission to the german-to-english and englishto-german tracks in the wmt 2020 news translation and zero-shot robust translation tasks. we built our systems in three stages, loosely following the procedure by @xcite . all translation models mentioned in this paper were trained with the marian toolkit @xcite . ## 3-stage build process we distinguish three types of training data provided for the tasks, shown in ## results third, we find the high overlap between the topscoring automatic systems remarkable. this suggests that under the constrained conditions, independently systems do learn a very similar style of translation. for the zero-shot robustness task, we used the same systems as for for the news translation task. we report bleu scores for the zero-shot robustness task in