Computer Generation of Natural Language from a Deep Conceptual Base

Abstract

For many tasks involving communication between humans and computers it is necessary for the machine to produce as well as understand natural language. The authors describes an implemented system which generates English sentences from Conceptual Dependency networks, which are unambiguous, language- free representations of meaning. The system is designed to be task independent and thus capable of providing the language generation mechanism for such diverse problem areas as question answering, machine translation, and interviewing.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1974
Accession Number
ADA005041

Entities

People

  • Neil M. Goldman

Organizations

  • Stanford University

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognition
  • Computational Linguistics
  • Computational Science
  • Computer Programs
  • Computer Science
  • Computers
  • Context Free Grammars
  • Grammars
  • Information Processing
  • Information Retrieval
  • Language
  • Linguistics
  • Machine Translation
  • Materials
  • Natural Language Processing
  • Psychology

Fields of Study

  • Computer science

Readers

  • Software Engineering.
  • Speech Processing/Speech Recognition.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Translation