Title :
Understanding natural language for virtual reality: An information theoretic approach
Author :
Grubbs, Elmer A. ; Marefat, Michael M.
Author_Institution :
Dept. of Eng., New Mexico Highlands Univ., Las Vegas, NM, USA
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
Keywords :
grammars; information theory; natural language interfaces; virtual reality; application program; information content; information theoretic approach; linguistic route; natural language parsing; natural language understanding; sentence; ungrammatical sentences; virtual reality; Application software; Data mining; Delay; Humans; Information analysis; Information theory; Intelligent robots; Machine intelligence; Natural languages; Virtual reality;
Conference_Titel :
AI, Simulation, and Planning in High Autonomy Systems, 1993. Integrating Virtual Reality and Model-Based Environments. Proceedings. Fourth Annual Conference
Conference_Location :
Tucson, AZ
Print_ISBN :
0-8186-4020-0
DOI :
10.1109/AIHAS.1993.410557