Human-computer dialogue understanding hybrid system

The problem of designing a system for understanding user intention in human-computer dialogue is investigated in the article. Two different approaches have been suggested for solution of this problem: Hidden Markov and Neuro-Fuzzy models. Concrete object was selected for process of understanding user intention. The methods, which combines the using of hybrid neuro-fuzzy and hidden Markov models is offered. Mathematical algorithms and software of the system have been developed for automatically defining user intention in human-computer dialogue.