A computational grammar of discourse-neutral prosodic phrasing in English
Computational Linguistics
The ATIS spoken language systems pilot corpus
HLT '90 Proceedings of the workshop on Speech and Natural Language
Responding intelligently to unparsable inputs
Computational Linguistics
Recovery strategies for parsing extragrammatical language
Computational Linguistics - Special issue on ill-formed input
Meta-rules as a basis for processing ill-formed input
Computational Linguistics - Special issue on ill-formed input
Deterministic parsing of syntactic non-fluencies
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Multi-site data collection for a spoken language corpus
HLT '91 Proceedings of the workshop on Speech and Natural Language
Automatic detection and correction of repairs in human-computer dialog
HLT '91 Proceedings of the workshop on Speech and Natural Language
REX-J: Japanese referring expression corpus of situated dialogs
Language Resources and Evaluation
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Interpreting fully natural speech is an important goal for spoken language understanding systems. However, while corpus studies have shown that about 10% of spontaneous utterances contain self-corrections, or REPAIRS, little is known about the extent to which cues in the speech signal may facilitate repair processing. We identify several cues based on acoustic and prosodic analysis of repairs in the DARPA Air Travel Information System database, and propose methods for exploiting these cues to detect and correct repairs.