Modification of Earley's algorithm for speech recognition
Proceedings of the NATO Advanced Study Institute on Recent advances in speech understanding and dialog systems
An efficient context-free parsing algorithm
Communications of the ACM
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
Language As a Cognitive Process: Syntax
Language As a Cognitive Process: Syntax
Proceedings of the third ACM international conference on Multimedia
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Performance in speech recognition systems has progressed to the point where it is now realistic to begin integrating speech with natural language systems to produce spoken language systems. Two factors have contributed to the advances in speech: statistical modeling of the input signal and language constraints. To produce spoken language systems, then, the grammar formalisms used in natural language systems must incorporate statistical information and efficient parsers for these stochastic language models must be developed. In this paper we outline how chart parsing techniques provide advantages in both computation and accuracy for spoken language systems. We describe a system that models all levels of the spoken language system using stochastic language models and present experimental results.