A New Parallel Segmentation Model Based on Dictionary and Mutual Information

摘要：

It is difficult to compute the word frequency for mutual information segmentation. Statistic of word frequency of parallel mutual information is integrated with dictionary segmentation to improve efficiency in this paper. The parallel model and dispatching policy are presented, the paper also gives the speed up ratio of parallel model at the same time, periods pattern string and non periods pattern string are optimized in parallel model. Experiment show that the algorithm is available. The parallel model also can use for other segmentation algorithms that base on statistic of word frequency.

作者: Liu Bo Tang Liang Gui Tang Can

作者单位: Computer Science And Information Engineering College, ChongQing Techology and Business University

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 554-558

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）