Understanding natural language for virtual reality: An information theoretic approach

E. A. Grubbs, M. M. Marefat

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The approach to the solution of the natural language parsing (NLP) problem has traditionally taken a linguistic route. A more basic approach using the theory of information is exploited here. Parsing is accomplished based on the information content of the sentence. This reduces processing time, allows for the handling of ungrammatical sentences, and produces a structure that allows the computer to gain information on a continuous basis. The approach is entirely integrable with much of the important NLP work which has been done in the past. An application program which has been developed to illustrate the basic technique is also described.

Original languageEnglish (US)
Title of host publicationProceedings - 4th Annual Conference on AI, Simulation, and Planning in High Autonomy Systems, AIS 1993
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages310-316
Number of pages7
ISBN (Electronic)0818640200, 9780818640209
DOIs
StatePublished - 1993
Event4th Annual Conference on AI, Simulation, and Planning in High Autonomy Systems, AIS 1993 - Tucson, United States
Duration: Sep 20 1993Sep 22 1993

Publication series

NameProceedings - 4th Annual Conference on AI, Simulation, and Planning in High Autonomy Systems, AIS 1993

Conference

Conference4th Annual Conference on AI, Simulation, and Planning in High Autonomy Systems, AIS 1993
Country/TerritoryUnited States
CityTucson
Period9/20/939/22/93

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Information Systems and Management
  • Media Technology
  • Control and Optimization
  • Modeling and Simulation

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