An Improved Context-Free Recognizer
ACM Transactions on Programming Languages and Systems (TOPLAS)
A generalization of the offline parsable grammars
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Integrating syntax and semantics into spoken language understanding
HLT '91 Proceedings of the workshop on Speech and Natural Language
Syntactic and semantic knowledge in the DELPHI unification grammar
HLT '90 Proceedings of the workshop on Speech and Natural Language
TINA: a natural language system for spoken language applications
Computational Linguistics
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Porting to new domains using the Learner™
HLT '89 Proceedings of the workshop on Speech and Natural Language
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We describe HARC, a system for speech understanding that integrates speech recognition techniques with natural language processing. The integrated system uses statistical pattern recognition to build a lattice of potential words in the input speech. This word lattice is passed to a unification parser to derive all possible associated syntactic structures for these words. The resulting parse structures are passed to a multi-level semantics component for interpretation.