  This paper describes a test suite submission providing detailed statistics of
linguistic performance for the state-of-the-art German-English systems of the
Fifth Conference of Machine Translation (WMT20). The analysis covers 107
phenomena organized in 14 categories based on about 5,500 test items, including
a manual annotation effort of 45 person hours. Two systems (Tohoku and Huoshan)
appear to have significantly better test suite accuracy than the others,
although the best system of WMT20 is not significantly better than the one from
WMT19 in a macro-average. Additionally, we identify some linguistic phenomena
where all systems suffer (such as idioms, resultative predicates and
pluperfect), but we are also able to identify particular weaknesses for
individual systems (such as quotation marks, lexical ambiguity and sluicing).
Most of the systems of WMT19 which submitted new versions this year show
improvements.
