Aiming at new word appearing and updating frequently in the Internet, through combining mechanical segmentation and rule-based segmentation, a framework for Chinese word segmentation with dynamic updating dictionary is provided. We improve a new dictionary design structure and ambiguity processing rules. Also the concept of mutual information in Statistics is used in determining the new word. The experiment shows that the framework for Chinese word segmentation proposed in this paper has high precision and is adaptive in different domains.