This method simulates the experience of people when searching for evidence to eliminate overlapping ambiguity using context information in Chinese word segmentation. The semantic similarity and correlation of overlapping ambiguity and its sentence are calculated. A context calculation model is set up, which resolves overlapping ambiguity in Chinese word segmentation using contextual information. Our experimental results show that compared with the traditional statisticsbased approach, our algorithm has a good segmentation accuracy.