Translated Title
Research on Chinese New Word Identification Based on Inner Pattern of Word
Translated Abstract
In this paper,a Chinese new word identification approach based on a SVM classifier was propose.The method first introduced improved independent word possibility based on the inner pattern of string and POS,and then combined accessor variety and frequency statistical features to identify Chinese new words.Experimental results showed that Micro F1 and Macro F1 of the proposed method were 0.583 3 and 0.775 7 respectively.Compared with the method not considening inner pattern of word,the performance of the presented method improved about Micro F1 63 % and Macro F1 30 % respectively.
Translated Keyword
Chinese new word
identification
independent word possibility
inner pattern of word
SVM
Access Number
WF:perioarticaljmdxxb-zr201106012
