NL-Processor and Linguistic Knowledge Base in a Speech Recognition System

Abstract

The linguistic methods providing grammatical and lexical control of the acoustic recognition results are described. The Parser (NL-Processor) uses original local grammar, ATN-type grammar, and comprehensive computer dictionaries (Linguistic Knowledge Base - LKB). To choose the best of the plausible strings, a special meta-level is introduced that deals with the multi-criterion choice problem. An important feature of the techniques employed is that the best string does not necessarily have to be a grammatical one. The original approach to lexical n-grams dictionary correction is described too. Later this approach was generalised and now it is considered as a base of the new computer-aided technology of the LKB construction. The main component of this approach is the METAMODEL, based on UML and fuzzy mathematics. Both human and computer should participate in LKB construction process: human contributes to this process his intelligence and language intuition, computer - his speed, memory and computational capabilities.