A reduced ambiguity lexical system.
Natural human languages have proven to be sub-optimal in artificial intelligence applications because of their tendency to inexact representation of meaning. The author has devised a technique for converting human language to and from a compact byte-coded intermediate representation, which is processed more easily by computer systems. A specialized lexical engine based on IEEE Standard 1275-1994 was created to embed redundant information invisibly within the byte-coded text stream, to enable use of a variety of alphabets, grammars, and pronunciation rules (including slang and regional dialects). Very large vocabularies in a variety of human languages are supported. These lexical tools are designed to facilitate speech recognition and speech synthesis subsystems, universal translators and machine intelligence systems.
Frenger
Paul
P
A Working Hypothesis, Inc., P.O. Box 820506, Houston, TX 77282, USA. pfrenger@alumni.rice.edu
D000465:Algorithms; D003628:Database Management Systems; D004014:Dictionaries as Topic; D016247:Information Storage and Retrieval / Q000379:methods* / Q000592:standards; D007802:Language; D009323:Natural Language Processing; D012984:Software; D009626:Terminology as Topic