Title
A Parallel Computational Model For Integrated Speech And Natural-Language Understanding
Abbreviated Journal Title
IEEE Trans. Comput.
Keywords
Speech Understanding; Parallel Computational Model; Marker-Passing; Architecture; Integrated Speech And Natural Language Understanding; Memory-Based Parsing; Computer Science, Hardware & Architecture; Engineering, Electrical &; Electronic
Abstract
We present a parallel approach for integrating speech and natural language understanding. The method emphasizes a hierarchically-structured knowledge base and memory-based parsing techniques. Processing is carried out by passing multiple markers in parallel through the knowledge base. Speech-specific problems such as insertion, deletion, substitution, and word boundary detection have been analyzed and their parallel solutions are provided. Results on the SNAP-1 multiprocessor show an 80% sentence recognition rate for the Air Traffic Control (ATC) domain. Furthermore, speed-up of up to 15-fold is obtained from the parallel platform which provides response times of a few seconds per sentence for the ATC domain.
Journal Title
Ieee Transactions on Computers
Volume
42
Issue/Number
10
Publication Date
1-1-1993
Document Type
Article
Language
English
First Page
1171
Last Page
1183
WOS Identifier
ISSN
0018-9340
Recommended Citation
"A Parallel Computational Model For Integrated Speech And Natural-Language Understanding" (1993). Faculty Bibliography 1990s. 668.
https://stars.library.ucf.edu/facultybib1990/668
Comments
Authors: contact us about adding a copy of your work at STARS@ucf.edu