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Statistical Machine Translation Hardcover - 2010 - 1st Edition
by Philipp Koehn
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- Title Statistical Machine Translation
- Author Philipp Koehn
- Binding Hardcover
- Edition number 1st
- Edition 1
- Pages 446
- Volumes 1
- Language ENG
- Publisher Cambridge University Press, U.S.A.
- Date 2010-01-18
- Illustrated Yes
- Features Bibliography, Illustrated, Index, Table of Contents
- ISBN 9780521874151 / 0521874157
- Weight 2.25 lbs (1.02 kg)
- Dimensions 9.7 x 7 x 1 in (24.64 x 17.78 x 2.54 cm)
- Library of Congress subjects Machine translating
- Library of Congress Catalog Number 2010294134
- Dewey Decimal Code 418.020
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- Choice, 07/01/2010, Page 0
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STATISTICAL MACHINE TRANSLATION
by Koehn, Philipp
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Cambridge: Cambridge University Press, 2010. First Edition, First Printing. Hardcover. Octavo, 433 pages. In Very Good minus condition. Blue and yellow spine with yellow and blue text. Boards have bumping to corners and spine edges. Textblock clean. Shelved ND-E. 1377229. FP New Rockville Stock.
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Statistical Machine Translation
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Statistical Machine Translation
by Koehn, Philipp
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Statistical Machine Translation
by Philipp Koehn
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Statistical Machine Translation
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Hardback. New. Automatic language translation systems like those used by Google, have been revolutionized by recent advances in the methods used in statistical machine translation. This first textbook on the topic explains these innovations carefully and shows the reader, whether a student or a developer, how to build their own translation system.
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Statistical Machine Translation
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Statistical Machine Translation
by Koehn, Philipp
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Cambridge University Press, 2010-01-01. 1. hardcover. Used:Good.
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Statistical Machine Translation by Koehn, Philipp
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ISBN: 9780521874151CAMBRIDGE UNIVERSITY PRESS | 11 May 2011
Hardback | 446 pages
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. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for… Read More
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