Machine translation
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Author
Publication
2015 - Taylor & Francis, A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Franck, Chapman and Hall/CRC, Boca Raton, Florida
Language
English
Word Count
58,500 words, Guess
Page Count
234 pages
Identifiers
- ISBN-139781439897188
- ISBN-101439897182
- Library of Congress Control Number2014024895
- OCLC Control Number917873633
- Better World Books9781439897188
and 1 more
- Open LibraryOL31031047M
Classifications
- DDC418/.020285
- LCCP308 .B53 2015
- LCCP308.B53 2015
Description
"The proposed project on machine translation will be based on the above pedagogy, through the study of phenomena, formalization, and then elucidation of the techniques. Case studies, examples, and historical perspectives will be used extensively to cover the material. The primary aim of this book is to provide an accessible text book on machine translation covering lucidly the foundations, insights, and case studies for practical concerns. The book would also point towards where the field is currently and heading towards in the future"-- This book discusses the three major paradigms of machine translation: rule-based, statistical, and example-based, and provides examples and insight-generating exercises..'--
Subjects
Topics
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