An Optimization Algorithm of Chinese Word Segmentation Based on Dictionary

Analyzing the system of several Chinese word segmentation algorithms for the current existing problems, we design and construct a new dictionary mechanism. We present a segmentation algorithm, forward maximum matching method that adding 1 word each time and self-define the IDC function as disambiguation algorithm to achieve a relatively complete system of experimental Chinese word segmentation. By comparing the simulation results of the traditional methods to the forward maximum matching algorithm proposed in this thesis can be obtained a higher rate segmentation, as well as IDC disambiguation function also has better performance.