A Contrast Between Computer and Human Language Understanding

Abstract

This paper is a progress report of the natural language (NL) understanding portion of the Artificial Intelligence Measurement System (AIMS). The focus of the document is on the research plan and initial steps in relating human performance measures to NL implementations. The overall goal was to norm a given NL system's performance on a sample of people. To this end a test was created to capture the language functions of a target implementation but was set within the domain of the human population to be tested. The NL system used was IRUS (Bates, Stallard, & Moser, 1985), a syntactic shell interface available from a system test in a military environment. A syntactic analysis of the language IRUS could handle suggested that an initial human population for comparison should be very young children. This paper provides the first steps in the development of a test instrument that contains the syntactic structures of IRUS set within a very simple database, one consisting of animals, people, houses, their attributes and positions.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1988
Accession Number
ADA232917

Entities

People

  • Elaine L. Lindheim
  • Eva L. Baker

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Artificial Intelligence
  • California
  • Classification
  • Cognitive Science
  • Computer Programs
  • Databases
  • Expert Systems
  • Language
  • Linguistics
  • Measurement
  • Military Research
  • Motor Skills
  • Natural Language Understanding
  • Natural Languages
  • Security
  • Test And Evaluation
  • United States

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Linguistics
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation