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In this paper we describe an application of a real-time isolated-word recognition system, to the recognition of sentences of a language used in numerical command of machine tools. The acoustic level operates with dynamic matching procedure and knowledge about syntactics and semantics of the language is used to predict the incoming words. With such a syntax-directed system, real-time recognition of sentences pronounced word-by-word is very accurately achieved, even for several speakers. This system will then be adapted to the recognition of connected speech, as well as in the design of new languages for man-machine voice communication.