ON THE QUANTITATIVE EVALUATION OF THE TERMINOLOGY OF A VOCABULARY

Abstract

A quantitative method for selecting key words to be used in information retrieval language is described. The method is closely associated with the traditional problem of singling out terms. A term is defined as a unit in a vocabulary system used to express a system of concepts in a given branch of science. The process by which words become terms can be broken into two stages: entrance of the vocabulary unit into the sphere of limited function, and maintenance or acquisition by a certain part of the vocabulary of certain characteristics which distinguish the vocabulary of terms from the general vocabulary. There are various degrees in the process by which words become terms, and these degrees can be quantitatively analyzed. Four groups of terms may be distinguished, depending on the place which the terminological meaning occupies in the semantic structure of the word: (1) words all of whose meanings pertain exclusively to a given branch of science; (2) words whose primary meanings pertain to a given terminology; (3) words whose primary meanings do not pertain to a given terminology; and (4) words which are used in texts on a particular subject in one or several of their general meanings, which are to some extent specialized through combination with words that are terms, e.g., 'accident' in 'nuclear accident' and 'start-up accident.'

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Document Details

Document Type
Technical Report
Publication Date
Jun 13, 1967
Accession Number
AD0662574

Entities

People

  • L. G. Kravets

Organizations

  • Air Force Systems Command

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Accidents
  • Character Recognition
  • Chemical Reactions
  • Computational Linguistics
  • Computer Languages
  • Dictionaries
  • Information Retrieval
  • Language
  • Linguistics
  • Machine Translation
  • Machines
  • Natural Languages
  • Nuclear Reactors
  • Nuclei
  • Patents
  • Translations
  • Vocabulary

Fields of Study

  • Education

Readers

  • Speech Processing/Speech Recognition.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval