Machine Recognition and Understanding of Manual Morse,

Abstract

Recently, a project at Massachusettes Institute of Technology's Laboratory for Computer Science has developed a new perspective on the manual Morse code problem. The authors have taken quite seriously the character of manual Morse code as expressed by the first sentence of this paper. Indeed their approach has been to include in a manual Morse code system extensive models or knowledge of the Morse, radio and natural language domains. Further, understanding of parts of a Morse code conversation is attempted, and it appears that it is necessary to understand some parts of what is transmitted in order to translate it correctly.

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1978
Accession Number
ADP003800

Entities

People

  • A. Vezza
  • E. H. Black
  • J. F. Haverty
  • P. D. Lebling
  • T. A. Anderson

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Computer Science
  • Computers
  • Detectors
  • Formal Languages
  • Language
  • Morse Code
  • Natural Languages
  • Pennsylvania
  • Personality
  • Recognition
  • Sensor Networks
  • Workshops

Readers

  • Business Analytics
  • Computational Linguistics
  • Computer Programming and Software Development.