On Machine Translation (Janus Linguarum, Minor, No 128)
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On Machine Translation (Janus Linguarum, Minor, No 128) by Paul L. Garvin

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Published by Walter De Gruyter Inc .
Written in English


Book details:

The Physical Object
FormatPaperback
ID Numbers
Open LibraryOL12801955M
ISBN 109027920044
ISBN 109789027920041

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Statistical Machine Translation [Philipp Koehn] on happylifekennel.com *FREE* shipping on qualifying offers. This introductory text to statistical machine translation (SMT) provides all of the theories and methods needed to build a statistical machine translatorCited by: A concise, nontechnical overview of the development of machine translation, including the different approaches, evaluation issues, and major players in the industry. The dream of a universal translation device goes back many decades, long before Douglas Adams's fictional Babel fish provided this service in The Hitchhiker's Guide to the Galaxy. This book compares and contrasts the principles and practices of rule-based machine translation (RBMT), statistical machine translation (SMT), and example-based machine translation (EBMT). Presenting numerous examples, the text introduces language divergence as . The idea of machine translation later appeared in the 17th century. In , René Descartes proposed a universal language, with equivalent ideas in different tongues sharing one symbol. The field of machine translation was founded with Warren Weaver's Memorandum on Translation ().

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If you are interested in machine translation (MT) and would like to know more – in fact a lot – about it without having to trawl the internet (and getting a lot of less interesting hits), you can hardly do better than reading this recently published book. Machine translation (MT) is automated translation or “translation carried out by a computer”, as defined in the Oxford English dictionary. It is a process, sometimes referred to as Natural Language Processing which uses a bilingual data set and other language assets to build language and phrase. Nov 14,  · Machine Translation (MT) is both an engineering technology and a measure of all things to do with languages and computers--whenever a new theory of language or linguistics is offered, an important criteria for its success is whether or not it will improve machine translation. This book presents a history of machine translation (MT) from the /5. The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages.