The recent achievements in the area of automatic speech recognition started the development of speech enabled applications. Currently it is beginningto be insufficient to merely recognize an utterance. The applications are demanding to understand the meaning of the utterance. Semantic analysis
(or semantic parsing) is a part of the natural language understanding process. The goal of semantic analysis is to represent what the subject intended to say. The thesis summarizes aspects of semantic analysis with emphasis on the stochastic approach to semantic analysis. Fundamental stochastic models along with the training and evaluation of these models are explained in details. Since, the performance of the system is significantly influenced by the way of preprocessing, it is also described in the thesis
