Furthermore, a linear mixed effect model analysis reveals that, when accounting for language as a random effect, there are no significant interactions between the improvement of each model (over its respective baseline) and factors such as language family (IE vs. non-IE), dominant word order, or number of training sentences.
the improvements for both parsers seem to be largely independent of treebank-specific factors.