Partial parsing: a report on work in progress
HLT '91 Proceedings of the workshop on Speech and Natural Language
An efficient chart-based algorithm for partial-parsing of unrestricted texts
ANLC '92 Proceedings of the third conference on Applied natural language processing
Deterministic parsing of syntactic non-fluencies
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
Finite-state approximation of phrase structure grammars
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Inside-outside reestimation from partially bracketed corpora
HLT '91 Proceedings of the workshop on Speech and Natural Language
Stochastic tree-adjoining grammars
HLT '91 Proceedings of the workshop on Speech and Natural Language
Parameter estimation for constrained context-free language models
HLT '91 Proceedings of the workshop on Speech and Natural Language
Filtering errors and repairing linguistic anomalies for spoken dialogue systems
ISDS '97 Interactive Spoken Dialog Systems on Bringing Speech and NLP Together in Real Applications
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We present an integrated approach to speech and natural language processing which uses a single parser to create training for a statistical speech recognition component and for interpreting recognized text. On the speech recognition side, our innovation is the use of a statistical model combining N-gram and context-free grammars. On the natural language side, our innovation is the integration of parsing and semantic interpretation to build references for only targeted phrase types. In both components, a semantic grammar and partial parsing facilitate robust processing of the targeted portions of a domain. This integrated approach introduces as much linguistic structure and prior statistical information as is available while maintaining a robust full-coverage statistical language model for recognition. In addition, our approach facilitates both the direct detection of linguistic constituents within the speech recognition algorithms and the creation of semantic interpretations of the recognized phrases.