Many attempts to design systems of human-machine interaction based on natural spoken or written language doesn't bear an expected effect. The main cause of fails is the lack of enough adequate models of natural language considering knowledge from closely-related branches of science. This paper considers conceptual approaches to spoken language simulation. The code model of language and language understanding process, which reconciles with the information theory and the speech psychology, is suggested. The results of simulation are discussed.