Recognition of “V+N” and “V+V” structure phrase in search engine query logs
Shuicai Shi · Journal of Beijing Information Science & Technology University · 2012
A new way of automatic recognition for phrase based on SVM_HMM model is put forward in this paper through analyzing the characters of the Sogou log corpus.Multiple experiments are conducted on the V+N、V+V phrases from different perspectives using some information of words,such as parts of speech,position,the times of being searched and so on.The results of the experiments reveal that the increase of the context information can improve the efficiency of phrase recognition,and the characteristics of the number and location of syllables have little influence on the experimental effect.This research provides technical support for phrase dictionary building of search engine in future and directive guidance for a further research on recognition of phrases category.