介绍了书面汉语自动分词专家系统中的分词知识模型与分词知识表示,以及所用的推理机制。最后给出的实验结果表明:自动分词专家系统的性能极为优异,其切分精度远高于现有的自动分词系统,且知识库易于维护并具有一定的自学习功能。 This paper introduces the word segmentation knowledge model and the word segmentation knowledge representation in the automatic Chinese word segmentation expert system, and the reasoning mechanism used. Finally, the experimental results show that the performance of the automatic word segmentation expert system is excellent, the segmentation accuracy is much higher than the existing automatic word segmentation system, and the knowledge base is easy to maintain and has a certain self-learning function.