High level knowledge sources in usable speech recognition systems
Communications of the ACM
A voice- and touch-driven natural language editor and its performance
International Journal of Man-Machine Studies
TINA: a natural language system for spoken language applications
Computational Linguistics
Spoken natural language dialog systems: a practical approach
Spoken natural language dialog systems: a practical approach
An architecture for voice dialog systems based on prolog-style theorem proving
Computational Linguistics
User studies and the design of natural language systems
EACL '89 Proceedings of the fourth conference on European chapter of the Association for Computational Linguistics
The effects of interaction on spoken discourse
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Spoken dialogue technology: enabling the conversational user interface
ACM Computing Surveys (CSUR)
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Since approximately the mid 1980's, technology has been adequate (if not ideal) for researchers to construct spoken natural language dialog systems (SNLDS) in order to test theories of natural language processing and to see what machines were capable of based on current technological limits. Over the course of time, a few systems have been constructed in sufficient detail and robustness to enable some evaluation of the systems. For the most part, these systems were greatly limited by the available speech recognition technology. Continuous speech systems required speaker dependent training and restricted vocabularies, but still had such a large number of misrecognitions that this tended to be the limiting factor in the success of the system. For example, testing in 1991 of the Circuit Fix-It Shop of (Smith, Hipp, and Biermann, 1995) required an experimenter to remain in the room in order to notify the user when misrecognitions occurred.