Because break points are the boundaries of words, we first collect the known words in the corpus, and take their boundary points as the positive samples.
a total of 56 features, in the highest frequency word dataset with 6gram learning samples, were calculated and sorted by the f-score algorithm proposed by Chen and Lin's SVM feature-selected research (Y.-W. Chen & Lin, 2006).