The Secondary Hash MM Algorithm Based on Probability Factor

摘要

Chinese Words Segmentation is a very important section of Chinese information process. The speed and the accuracy of Words Segmentation will affect the results of information processing directly. Dictionary of secondary hash structure mechanism based on the probability factor is proposed through the analysis of the traditional Chinese Words Segmentation's algorithm. This segmentation mechanism combined with the original maximum matching algorithms those main points is to consider cutting accuracy, and also increased segmentation's accuracy while the new Segmentation mechanism improve the searching speed in the dictionary. Theoretical analysis demonstrates that the algorithm's speed and accuracy is better than the traditional method.