Forgotten Jieba participle

Stuttering participle , How many people still use ？

One . The principle of stuttering participle

Statistical dictionary 、 Prefix Dictionary 、 Directed acyclic graph 、 From the back forward （ Prefix Dictionary + The nature of dynamic programming determines ） Viterbi predicts the maximum probability path .
（1） Dictionary based string maximum matching algorithm
（2） Based on word frequency statistics ： The more adjacent words appear at the same time , The more likely it is to form a word , It is a total segmentation method . At present, the commonly used algorithm is HMM、CRF、 Deep learning and other algorithms .jieba Word segmentation uses dynamic programming to find the maximum probability path , Find out the maximum segmentation combination based on word frequency , For unregistered words , Based on the ability of Chinese characters to form words HMM Model .
problem 3：jieba Word segmentation and word segmentation in knowledge map CoreNLP The principle is different ？
CoreNLP It was released by Stanford , Functionally, it can be used for part of speech tagging and entity recognition , and jieba No entity recognition function ;
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Two . The use of stuttering participles

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