Accession Number:

AD0671937

Title:

NATURAL LANGUAGE LEARNING BY COMPUTER

Descriptive Note:

Doctoral thesis

Corporate Author:

CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE

Personal Author(s):

Report Date:

1968-05-01

Pagination or Media Count:

115.0

Abstract:

Learning a natural language is taken as an improvement in a systems ability to express situations in a natural language. This dissertation describes a computer program, called Zbie, written in IPL-V, which accepts the description of situations in a uniform, structured functional language and tries to express these situations in a natural language. Examples are given for German and, mostly, Russian. At run-time, Zbie builds simple memory structures. Patterns and sets are built on the functional language. The translation rules of the patterns and an in-context vocabulary provide the transition to the natural language. Zbie is a cautious learner, and avoids errors by several mechanisms. Zbie is capable of some evolutionary learning.

Subject Categories:

  • Linguistics
  • Computer Programming and Software
  • Bionics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE