These augmented sentences generated from Insertion are often not natural, since those inserted mgrams are randomly picked from the whole corpus which may be irrelevant to the current sentence.
their results could not serve as augmented data to pretrain sequence tagging models, since there was no indication where were the disfluent segments in output sentences.