Title

A Parallel Computational Model For Integrated Speech And Natural Language Understanding

Keywords

integrated speech and natural language understanding; marker-passing architecture; memory-based parsing; parallel computational model; Speech understanding

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. © 1993 IEEE

Publication Date

1-1-1993

Publication Title

IEEE Transactions on Computers

Volume

42

Issue

10

Number of Pages

1171-1183

Document Type

Article

Identifier

scopus

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/12.257704

Socpus ID

84879076732 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84879076732

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