NATURAL LANGUAGE INPUT FOR A COMPUTER PROBLEM SOLVING SYSTEM.

Abstract

The STUDENT problem solving system, programmed in LISP, accepts as input a comfortable but restricted subset of English which can express a wide variety of algebra story problems. STUDENT finds the solution to a large class of these problems. The thesis includes a summary of other English language question-answering systems. The linguistic analysis in STUDENT is a first approximation to the analytic portion of a semantic theory of discourse outlined in the thesis. STUDENT finds the set of kernel sentences which are the base of the input discourse, and transforms this sequence of kernel sentences into a set of simultaneous equations which form the semantic base of the STUDENT system. STUDENT then tries to solve this set of equations for the values of requested unknowns. If it is successful it gives the answers in English. If not, STUDENT asks the user for more information, and indicates the nature of the desired information. The STUDENT system is a first step toward natural language communication with computers. (Author)

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1964
Accession Number
AD0604730

Entities

People

  • Daniel G. Bobrow

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Computers
  • English Language
  • Equations
  • Language
  • Natural Languages
  • Simultaneous Equations

Readers

  • Approximation Theory.
  • Artificial Intelligence