“N+V+N” 、 “V+N+N” structure phrase recognition in search engine query logs

The phrase recognition is the period preparatory work before carrying on the phrase analysis.This paper in view of the characteristics of "N+V+N" 、 "V+N+N" structure phrase in search engine query logs of the corpus,uses a method of maximum entropy to get the machine learning model for phrase recognition according to the word information,the part of speech information,the number of syllable,anterior tags.Experimental results of the open tests show better performances:F_value of "N+ V+N" 85.78% and F_value of "V+N+N" 76.47%.In the semi open tests,the experiment result is better.