Title

A Parallel Computational Model For Integrated Speech And Natural-Language Understanding

Title - Alternative

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.

Publication 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

WOS:A1993MJ55600003

ISSN

0018-9340

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