Machine Translation Quality and Production Process Evaluation.

Abstract

Machine translations of Russian scientific-technical literature and the production systems/techniques are analyzed and assessed. In connection with these purposes, the nature and outcome of efforts in several key translation evaluation and production problem areas are described. These efforts include: An experimental comparison of machine and human translations' comprehensibility; Development and pilot test of a set of scales for assessing translation quality; Development of a procedure for partitioning and classifying textural content as an aid to quality assessment; Analyses of translation production flow, as well as the requirements for translation quality control and use-directed partial translations. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1971
Accession Number
AD0732886

Entities

People

  • Alvan W. Leavitt
  • Jesse L. Gates
  • Susan C. Shannon

Tags

DTIC Thesaurus Topics

  • Applied Computer Science
  • Computational Linguistics
  • Computational Science
  • Literature
  • Machine Translation
  • Natural Language Processing
  • Production
  • Quality Control
  • Test And Evaluation
  • Translations

Readers

  • Instructional Design and Training Evaluation.
  • Neural Network Machine Learning.
  • Political Science/ International Relations/ European Studies

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation