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At present, how to use computer technology to automatically identify the relationships between thesaurus of equivalent, grade and related semantic relationships automatically is a key point and also a difficulty for the automatic construction of thesaurus. This paper introduces three typical of concept about hierarchical relationship identification methods: which base on co-occurrence statistics, distribution similarity calculation and syntactic pattern matching, respectively. This paper proposed novel words hierarchical relationship identification method combined co-occurrence statistics and distribution similarity calculation, which demonstrated to be feasible and effective.

The automatic recognition based on the grade relationship between words of clustering