Buch, Englisch, 260 Seiten, Format (B × H): 145 mm x 222 mm, Gewicht: 502 g
A Practical Appraisal
Buch, Englisch, 260 Seiten, Format (B × H): 145 mm x 222 mm, Gewicht: 502 g
ISBN: 978-0-415-05432-4
Verlag: Routledge
Researchers have been attempting to develop systems that would emulate the human translation process for some forty years. What is it about human language that makes this such a daunting challenge? While other software packages have achieved rapid and lasting success, machine translation has failed to penetrate the worldwide market to any appreciable extent. Does this merely reflect a reluctance to adopt it, or does it signal a more fundamental and intractable problem? 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 US Air Force.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Preface 1. Introduction and Overview John Newton 2. The Story So Far: An Evaluation of Machine Translation in the World Today Jeanette Pugh 3. Made to Measure Solutions Annette Grimaila and John Chandioux 4. The Perkins Experience John Newton 5. Machine Translation in a High-Volume Translation Environment Muriel Vasconcellos and Dale A. Bostad 6. Esperanto as an Intermediate Language Klaus Schubert 7. Limitations of Computers as Translation Tools Alex Gross 8. Computerised Term Banks and Translation Patricia Thomas 9. The Translator Workstation Alan Melby 10. Systran: It Obviously Works, But How Can it be Improved? Yorick Wilks 11. Current Research in Machine Translation Harold L. Somers Bibliography Glossary of Terms Index