Transition network grammars for natural language analysis
Communications of the ACM
A rule-based approach to ill-formed input
COLING '80 Proceedings of the 8th conference on Computational linguistics
An automatically compilable recognition network for structured patterns
IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
An adaptive natural language system that listens, asks, and learns
IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
The vocal speech understanding system
IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
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This paper describes LPARS, a locally-organized parsing system, designed for use in a continuous speech recognizer. LPARS processes a string of phonemes which contains ambiguity and error. The system is locally-organized in the sense that it builds local parse structures from reliable word candidates recognized anywhere in an input utterance. These local structures are used as “islands of reliability” to guide the search for more highly garbledwords which might complete the utterance.