Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Spoken Natural Language Understanding as a Parallel Application K. Asanovic, J. R. Chapman
 

Summary: Spoken Natural Language Understanding as a Parallel Application
K. Asanovic, J. R. Chapman
GEC Hirst Research Centre, East Lane, Wembley,
Middlesex HA9 7PP, United Kingdom
{Electronic mail krste@uk.co.gec-rl-hrc}
Abstract. A parallel machine, consisting of a network of
transputers with content addressable memory (CAM), a
rapid global communications network and runtime support
for Lisp and Prolog is presented. A natural language
understanding system based on the blackboard model is
described, and shown to exhibit parallelism at a number of
levels. A suitable topology for the system is presented, and
it is shown how this is mapped onto the transputer network.
The use of the CAM to accelerate various natural language
processing algorithms is discussed.
Introduction
The GEC Hirst Research Centre is developing a speech understanding sys-
tem as an example of an application for a parallel architecture. The first section of the
paper describes the hardware architecture, the system software and the supported pro-
gramming languages. The second section describes a sequential implementation of the

  

Source: Asanovic, Krste - Computer Science and Artificial Intelligence Laboratory & Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT)

 

Collections: Computer Technologies and Information Sciences