The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty
ACM Computing Surveys (CSUR)
Theory of Syntactic Recognition for Natural Languages
Theory of Syntactic Recognition for Natural Languages
ON MEMORY LIMITATIONS IN NATURAL LANGUAGE PROCESSING
ON MEMORY LIMITATIONS IN NATURAL LANGUAGE PROCESSING
PRELIMINARY ANALYSIS OF A BREADTH-FIRST PARSING ALGORITHM: THEORETICAL AND EXPERIMENTAL RESULTS
PRELIMINARY ANALYSIS OF A BREADTH-FIRST PARSING ALGORITHM: THEORETICAL AND EXPERIMENTAL RESULTS
Sentence disambiguation by a shift-reduce parsing technique
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
Deterministic parsing and unbounded dependencies
EACL '87 Proceedings of the third conference on European chapter of the Association for Computational Linguistics
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Prosodic aids to syntactic and semantic analysis of spoken English
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Divided and valency-oriented parsing in speech understanding
COLING '86 Proceedings of the 11th coference on Computational linguistics
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In this paper, we approach the problem of organisation and control in automatic speech understanding systems firstly, by presenting a theory of the non-serial interactions necessary between two processors in the system: namely, the morphosyntactic and the prosodic, and secondly, by showing how, when generalised, this theory allows one to specify a highly efficient architecture for a speech understanding system with a simple control structure and genuinely independent components. The theory of non-serial interactions we present predicts that speech is temporally organised in a very specific way; that is, the system would not function effectively if the temporal distribution of various types of information in speech were different. The architecture we propose is developed from a study of the task of speech understanding and, furthermore, is specific to this task. Consequently, the paper argues that general problem solving methods are unnecessary for speech understanding.