[ey] and [dy] Feature Patterns

[Torsten]

The z--scores show how unusual the occurrence of a feature is in one position of a distribution. 

That's the point. The Z-score is just a statistical measure that quantifies the distance between a data point and the mean of a dataset. Therefore Z-scores didn't allow conclusions like "[ey] and [edy] are followed by [qo] with the same preference". I depends on the distribution of the dataset what the difference between two Z-score is. With other words the difference between 3.5 and 3.7 might be that [.qo] occurs 1.5 times more often after [edy.] than after [ey.].