It can be seen that using more features (SC→T→ST) is favourable in terms of precision and overall accuracy and the positive impact of using source language features is clearer when only reduced feature sets are used (TR vs. STR).
these accuracies only somewhat correlate with SMT performance: while being trained and tested on clean, fluent German language, the   models will later be applied to disfluent SMT output and might thus lead to different results there.