A Multi-Agent Computational Linguistic Approach to Speech Recognition

Files in This Item:
File Description SizeFormat 
P180-Walsh,Kelly,CarsonBerndsen,O'Hare,AbuAmer-03.pdf106.43 kBAdobe PDFDownload
Title: A Multi-Agent Computational Linguistic Approach to Speech Recognition
Authors: Walsh, Michael
Kelly, Robert
O'Hare, G. M. P. (Greg M. P.)
Carson-Berndsen, Julie
Abu-Amer, Tarek
Permanent link: http://hdl.handle.net/10197/4454
Date: 9-Aug-2003
Abstract: This paper illustrates how a multi-agent system implements and governs a computational linguistic model of phonology for syllable recognition. We describe how the Time Map model can be recast as a multi-agent architecture and discuss how constraint relaxation, output extrapolation, parse-tree pruning, clever task allocation, and distributed processing are all achieved in this new architcture.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: IJCAI
Keywords: Constraint relaxation;Output extrapolation;Parse-tree pruning;Clever task allocation;Distributed processing
Language: en
Status of Item: Peer reviewed
Is part of: Proceedings of 18th International Joint Conference on Artificial Intelligence (IJCAI-03), 9th-15th August, Acapulco, Mexico, 2003
Conference Details: The 18th International Joint Conference on Artificial Intelligence (IJCAI-03), 9th-15th August, Acapulco, Mexico, 2003
Appears in Collections:Computer Science Research Collection

Show full item record

Google ScholarTM

Check


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.