This paper describes the formation of data and knowledge 
base for a spoken interpreter system based on the generative 
model of speech signal understanding within subject areas. 
The proposed way to progress the dialog consists in step-by-step 
meaning type completing in agreement with the 
technical system state. The proposed structure allows for 
operating the subject areas, languages, meaning types and 
sentence types.