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Computers in Translation: A Practical Appraisal

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Overview

For forty years researchers have been attempting to develop systems that would emulate the human translation process. Because natural language makes this such a daunting challenge, machine translation has failed to penetrate the worldwide translation market to any appreciable extent. John Newton places machine translation in its true perspective and fully deals with its current limitations.

Computers in Translation is a comprehensive guide to the practical issues surrounding machine translation and computer-based translation tools. Translators, system designers, system operators, and researchers, present the facts about machine translation: its history, its successes, its limitations, and its potential. Three chapters deal with actual machine translation applications, discussing installations including the METEO system used in Canada to translate weather forecasts and weather reports, and the system used in the Foreign Technology Division of the U.S. Air Force. As a guide for non-specialists seeking to broaden theoretical knowledge of the practicalities of machine translation, it will be of particular interest to translators, technical authors, technical publications managers, and students and lecturers in language and linguistics.
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Product Details

  • ISBN-13: 9780415054324
  • Publisher: Taylor & Francis
  • Publication date: 9/16/1992
  • Pages: 256
  • Lexile: 1460L (what's this?)
  • Product dimensions: 5.50 (w) x 8.50 (h) x 0.75 (d)

Table of Contents

Figures
Contributors
Preface
Abbreviations and acronyms
1 Introduction and overview 1
2 The story so far: an evaluation of machine translation in the world today 14
3 Made to measure solutions 33
4 The Perkins experience 46
5 Machine translation in a high-volume translation environment 58
6 Esperanto as an intermediate language for machine translation 78
7 Limitations of computers as translation tools 96
8 Computerized term banks and translation 131
9 The translator workstation 147
10 SYSTRAN: it obviously works but how much can it be improved? 166
11 Current research in machine translation 189
Bibliography 208
Glossary of terms 222
Index 228
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