Considering the popularity of the Internet, an automatic interactive feedback system for self-learning websites is becoming increasingly desirable. However, computers still have problems understanding natural languages, especially the Chinese language, firstly because the Chinese language has no space to segment lexical entries (its segmentation method is more difficult than that of English) and secondly because of the lack of a complete grammar in the Chinese language, making parsing more difficult and complicated. Building an automated Chinese feedback system for special application domains could solve these problems. This thesis proposes an interactive feedback mechanism in a self-learning website that can parse, understand and respond to Chinese sentences. This mechanism utilizes a specific lexical database according to the particular application. In this way, self-learning websites can implement a special application domain that chooses the proper response in a user friendly, accurate, and timely manner.