The Potential for Advanced Computerized Aids for Comprehensible Writing of Technical Documents.

Abstract

It is widely agreed that technical documents for equipment are poorly written and hard to comprehend. This has been a long-standing problem because the information-processing demands of editing and revision are so high that many comprehensibility problems go undetected. However, many of these problems can be detected by competurized systems that scan a document and point out where the writing can be improved. Existing systems of this type are based on conventional writing customs, rather than on the research literature on comprehension, and give poor advice or miss important problems. They also do not process the input document to any depth. An approach to advanced writing aids is described; such a system would base its criticisms on what is known about the cognition psychology of comprehension, and would make use of techniques from Artifical Intelligence for processing the language. Some examples of the relevant research results are presented, and a demonstration system of this type is briefly described. Author supplied key words include: Reading comprehension, Writing aids, and Artificial intelligence.

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Document Details

Document Type
Technical Report
Publication Date
Jan 14, 1985
Accession Number
ADA150501

Entities

People

  • D. E. Kieras

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognition
  • Computers
  • Demonstrations
  • Information Processing
  • Language
  • Materials
  • Michigan
  • Military Research
  • Natural Languages
  • Power Supplies
  • Psychology
  • Standards
  • Students
  • Training
  • United States
  • Universities

Readers

  • Artificial Intelligence
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Information Retrieval