International Journal of Pattern Recognition and Artificial Intelligence · 1990 · 20 citations · 0 references
ComputingComputer ScienceLinguisticsComputational LinguisticsNatural Language ProcessingSyntaxGrammarParsingPattern RecognitionRegular LanguagesSpeech RecognitionSyntactic AnalysisAutomatic RecognitionGrammar InferenceLanguage RecognitionRegular GrammarRegular Language Recognition
Recently, a new methodology, referred to as “Morphic Generator Grammatical Inference” (MGGI), has been introduced as a step towards a general methodology for the inference of regular languages. In this paper we consider the application of this methodology to a real problem of automatic speech recognition, thus allowing (and also requiring) the proposed problem to be properly formulated within the canonical framework of syntactic pattern recognition. The results show both the viability and appropriateness of the application of MGGI to the problem considered.