A large vocabulary (with 1019 words and 1382 kinds of inflectional endings) continuous speech recognition system with high predictability applicable to any task and have an unsupervised speaker adaptation capability is described. Phoneme identification is based on various features. Speaker adaptation is done using reliable identified phonemes. Using prosodic information, phrase boundaries are detected. The syntactic analyzer uses a syntactic state transition network and outputs syntactic interpretations. The semantic analyser deals with the meaning of each word, the dependency relationships between words, the extended case structures of predicates, associative function, in universally applicable forms. The extended case grammar with a set of four-items of the case structure and the dependency relationships between words are based on semantic attributes of relating words, and realizes, together with associative function, universally applicable high prediction capability.