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

Volume

42

Issue

10

fYear

1993

fDate

10/1/1993 12:00:00 AM

Firstpage

1171

Lastpage

1183

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;

fLanguage

English

Journal_Title

Computers, IEEE Transactions on

Publisher

ieee

ISSN

0018-9340

Type

jour

DOI

10.1109/12.257704

Filename

257704