Encoding verbal information as unique numbers

Authors:
W. D. Hagamen;D. J. Linden;H. S. Long;J. C. Weber
Affiliations:
Department of Anatomy, Cornell University Medical College, New York, New York;Department of Anatomy, Cornell University Medical College, New York, New York;-;Department of Anatomy, Cornell University Medical College, New York, New York
Venue:
IBM Systems Journal
Year:
1972

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ELIZA—a computer program for the study of natural language communication between man and machine

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Abstract

The representation of verbal information as single numbers using APL functions can optimize main storage, peripheral storage, and data transmission. Presented in tutorial form are the concepts of the encoding and decoding process. Applications including text processing and instructional systems are also discussed.