Title :
A parallel computational model for integrated speech and natural language understanding
Author :
Chung, Sang-Hwa ; Moldovan, Dan I. ; DeMara, Ronald F.
Author_Institution :
Dept. of Electr. and Comput. Eng., Central Florida Univ., Orlando, FL, USA
fDate :
10/1/1993 12:00:00 AM
Abstract :
Presents 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
Keywords :
knowledge based systems; natural languages; parallel processing; speech; SNAP-1 multiprocessor; hierarchically-structured knowledge base; knowledge base; memory-based parsing; natural language understanding; parallel computational model; speech; Air traffic control; Computational modeling; Computer architecture; Concurrent computing; Delay; Error analysis; Natural languages; Scalability; Speech analysis; Speech processing;
Journal_Title :
Computers, IEEE Transactions on
