关键词: 聚类, 词性标注, 自动校对

Abstract: The auto-proofreading problem in the large-scale corpus was analyzed, and a new method inspecting the correctness of POS tagging and an auto-proofreading method based on clustering and classifying were put forward. Using clustering and classifying, the method firstly classified the sequences of part of speech of the example and got the threshold value. Then according to the threshold value, it classified the test sequences to judge its correctness, and gave out a proofreading POS to the wrong POS Tagging. Furthermore, it enhanced the correctness ratio of the part of speech tagging on large-scale corpus.

Key words: clustering, POS Tagging, auto-proofreading