These differences are further exhibited in the confusion matrices shown in Figure 4; when the classifier is trained using only monolingual features, it misclassifies 26% of ¬ pairs as ⌘, whereas the bilingual features make this error only 6% of the time.
the bilingual features completely fail to predict the A class, calling over 80% of such pairs ⌘ or ⇠.