Churcher, G, Atwell, ES and Souter, DC (1996) Dialogues in air traffic control. In: Proceedings Twente Workshop on Language Technology 11 (TWLT 11) Dialogue Management in Natural Language Systems. The 11th Twente Workshop on Language Technology, 19-21 Jun 1996, University of Twente, Enschede, The Netherlands. University of Twente, Enschede, The Netherlands , 101 - 112.
Abstract
We have taken an off-the-shelf, commercial continuous speech recogniser and conducted evaluations for the domain of Air Traffic Control. The language of this domain proved to be quite unrestricted, contrary to our initial intuitions. Our experiments show that constraints typically used by speech recognisers do not provide accurate enough results and need to be augmented with other knowledge sources and higher levels of linguistics in order to prove useful. We used three syntaxes based on a corpus of transmissions between the ATC and pilots in order to reflect differing levels of "linguistic" knowledge. Initial experiments demonstrate the benefit of a fully constrained context-free semantic grammar. Further experiments empirically show the benefit to recognition accuracy of using some form of dialogue management system to control the flow of discourse. A corpus-based statistical clustering approach to the segmentation of a dialogue into discourse segments is briefly discussed.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 1996, University of Twente. Reproduced with permission from the publisher. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 Dec 2014 10:50 |
Last Modified: | 19 Dec 2022 13:29 |
Published Version: | http://www.utwente.nl/en/ |
Status: | Published |
Publisher: | University of Twente, Enschede, The Netherlands |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:82238 |