MANAGING MULTIPLE KNOWLEDGE SOURCES IN CONSTRAINT-BASED PARSING OF SPOKEN LANGUAGE
نویسندگان
چکیده
منابع مشابه
Managing Multiple Knowledge Sources in Constraint-Based Parsing of Spoken Language
In this paper, we describe a system which is capable of utilizing a variety of knowledge sources to select the most appropriate parse for a spoken sentence. These knowledge sources include syntax, semantics, and contextual information. We discuss one way to utilize contextual information when determining a parse for a sentence. Our definition of a context is defined by which computer applicatio...
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The eliminative nature of Constraint Satisfaction over nite domains o ers an interesting potential for robustness in the parsing of spoken language. An approach is presented, which puts unusually ambitious demands on the design of the Constraint Satisfaction procedure by trying to combine preferential reasoning, dynamic scheduling, parallel processing and incremental constraint solving within a...
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The objective of the Unisys Spoken Language Systems effort is to develop and demonstra te technology for the understanding of goal-directed spontaneous speech. The Unisys spoken language architecture couples speech recognition systems with the Unisys discourse understanding system, PUNDIT. PUNDIT is a broad-coverage language understanding system used in a variety of message understanding applic...
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A text-based and spoken language processing framework based on the constraint dependency grammar (CDG) developed by Maruyama is discussed. The scope of CDG is expanded to allow for the analysis of sentences containing lexically ambiguous words, to allow feature analysis in constraints, and to efficiently process multiple sentence candidates that are likely to arise in spoken language processing...
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ژورنال
عنوان ژورنال: Fundamenta Informaticae
سال: 1995
ISSN: 0169-2968
DOI: 10.3233/fi-1995-232346