Improvement on reverse directional maximum matching method based on hash structure for Chinese word segmentation

To analyse the Chinese semantic phrases,one must divide the sentences into words.Chinese segmentation is the most important part of Chinese information process.The speed and accuracy of segmentation influence the results of information processing.Traditional dictionary mechanisms and word segmentation methods are improved.Meanwhile,a new dictionary mechanism is provided based on hash structure,and an improved reverse directional maximum match method(RMM) is put forward.This method emphasized particularly on the speed of segmentation and the accuracy of segmentation,and it largely dispelled some ambiguities that may be produced by tra-ditional maximum matching method.The experiment indicates that the segmentation method is improved obviously on running efficiency and veracity of the results.