This paper explores the simplest incarnation of the idea of similarity avoidance; namely, that two adjacent segments are preferably different in some way and that this difference reveals itself globally.
the Individual column shows the macro-averaged results on running all languages individually, and the Allcolumn shows the results of running all data at once.