The theory and methods of Chinese generation was investigated in this paper. Especially the methods of general Chinese surface realization and text planning were developed.And then a general Chinese generation frame was brought forward.Using these methods,we have successfully designed and realized a Chinese generation system for spoken language translation and a Chinese text generation system for knowledge retrieval. The first aspect of this paper was to investigate the methods of general surface realization and then to develop a general Chinese syntactic realization system.Firstly, the systemic functional grammar was used to build the Chinese generation grammar. Secondly, in order to make the syntactic system suitable for both written Chinese and spoken Chinese generation,the system combined the template method and feature- based deep generation technology, the advantage of which is to maintain both flexibility and efficiency.Finally, an intermediate semantic model was also designed in order to make the generation system used in different domains.This model is a kind of semantic hierarchy.In the model,every specific domain concept has a corresponding super semantic class.And according to these classes,the generation grammar Call select suitable rules to generate Chinese texts.This solved the problem between the general Chinese realizer and different application domains.In addition, according to the characteristics of Chinese language,we also discussed the problem of adding functional words during the generation process,and then developed corresponding methods to solve this problem. The second aspect of this paper was to investigate target language generation in spoken translation systems.Firstly, according to the features of spoken language translation,we developed a kind of interlingua.This interlingua is based on speech act thcory,which can catch the intent of the speaker and therefore provide much information for target language generation.Secondly,a task-oriented microplanner and a general Chinese syntactic realizer were used for target language generation, which can tackle with some specific problems in the domain and make the system portable to other domains easily.Experiments showed that the generator embodied good performance.In spoken language translation,robustness is important for target language generation.In our generator, two strategies were designed to deal with the problem.In the microplanner,two kinds of rules are used:general rules and specific rules.In the Chinese realizer, some constraints are relaxed to allow some errors.All of these methods tackled with some recognition and parsing errors very well. The third aspect of this paper was to investigate the methods of text planner and to build a Chinese text generation.The essential difference between text generation and sentence generation is that a perfect text planner is needed in text generation systems. The main task of text planner is t
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