Abstract: Chinese syntactic category disambiguation is an important and difficult aspect in Chinese understanding with computers.In Chinese syntactic category disambiguation,most of the methods being used or studied are based on rules.In practice,it is shown that the results of the Chinese syntactic category disambiguation systems based on rules are not good as the researchers expect.A new method——a method with the artificial neural networks——is first applied to Chinese syntactic category disambiguation.The information used in Chinese syntactic category disambiguation,the architecture of the artificial neural networks, and the learning algorithm of the networks are provided.Having been trained,the disambiguation system based on the artificial neural networks can process Chinese syntactic category ambiguity more effectively and rapidly than the disambiguation system based on the rules do.