These results clearly indicate that the inclusion entity model is able to leverage the additional information about English inclusions provided by our inclusion classifier.
on a 10,000 word subset of the neologism archive (Wangensteen, 2002), the best method of combining character n-grams and regular expression matching yields an accuracy of 96.32% and an F-score of 59.4 (P = 75.8%, R = 48.8%).