Research on Machine Translation System of Semantic Network Partition

This paper reports a new architecture of intelligent question answering system based on the analysis of answering systems’ advantages and disadvantages. According to the design of ARIANE system, it develops the machine translation system for problem extraction. In the machine translation system design, analysis, and intelligent syntax has been difficult to solve. For the syntax analysis and word construction problems in intelligent segmentation, this paper adopts semantic network partition to solve it, It is partition in some level of association, can batter handle the issue to focus in semantic network partition. In this way, the user issues after word from the words library screening, a list of a series of related issues in descending order by degree of difficulty and returned to the user. Experimental analysis proves the usability of the improved algorithm.