I currently work at NLP software company in South Korea as an NLU software developer.
When I bought this book, I was finishing my own MT decoder and starting to
build a rudimentary IBM word alignment model trainer.
This book greatly contributed to the project in that it deeply corrected my wrong understanding of
many concepts such as dynamic programming, optimization, beam search, and etc.
Best part : It includes easy-to-understand pseudo-code for IBM 1~5 word alignment process.
It was also helpful in improving the performance of existing decoder.
As one of the leading figures in well-known Moses project and Euro Matrix,
author's explanation is firmly grounded upon practical experience and
includes a lot of elements required for building a prototype MT system.
I believe reading this book with the background knowledge
that you can learn in such books as Artificial Intelligence
: A Modern Approach or Mitchell's Machine Learning,
may maximize your learning rate, since the subject stuffs in
these books are highly inter-related with each others,
for example, unsupervised learning algorithm(especially EM),
optimization and search.
This book is top-ranked in NLP category of my personal book shelf.
I guess you won't regret if you purchase one.
Statistical Machine Translation 1st Edition
by
Philipp Koehn
(Author)
| Philipp Koehn (Author) Find all the books, read about the author, and more. See search results for this author |
ISBN-13: 978-0521874151
ISBN-10: 0521874157
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This introductory text to statistical machine translation (SMT) provides all of the theories and methods needed to build a statistical machine translator, such as Google Language Tools and Babelfish. In general, statistical techniques allow automatic translation systems to be built quickly for any language-pair using only translated texts and generic software. With increasing globalization, statistical machine translation will be central to communication and commerce. Based on courses and tutorials, and classroom-tested globally, it is ideal for instruction or self-study, for advanced undergraduates and graduate students in computer science and/or computational linguistics, and researchers in natural language processing. The companion website provides open-source corpora and tool-kits.
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Editorial Reviews
Review
"Philipp Koehn has provided the first comprehensive text for this rapidly growing field of statistical machine translation. This book is an invaluable resource for students, researcher, and software developers, providing a lucid and detailed presentation of all the important ideas needed to understand or create a state-of-the-art statistical machine translation system."
Robert C. Moore, Microsoft Research
"This is an excellent introduction for someone interested in statistical translation. It is quite readable..."
Jeffrey Putnam, Computing Reviews
Robert C. Moore, Microsoft Research
"This is an excellent introduction for someone interested in statistical translation. It is quite readable..."
Jeffrey Putnam, Computing Reviews
Book Description
This class-tested text establishes background in NLP and statistics, then develops the basics through to current research. By the end readers can build their own translation systems. For advanced undergraduates in computer science, graduate students in computer science and computational linguistics, and researchers in NLP; for instruction or self-study.
About the Author
Philipp Koehn is a lecturer in the School of Informatics at the University of Edinburgh. He is the scientific co-ordinator of the European EuroMatrix project and also involved in research funded by DARPA in the USA. He has also collaborated with leading companies in the field, such as Systran and Asia Online. He implemented the widely used decoder Pharoah, and is leading the development of the open source machine translation toolkit Moses.
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Product details
- Publisher : Cambridge Univ Pr; 1st edition (January 18, 2010)
- Language : English
- Hardcover : 433 pages
- ISBN-10 : 0521874157
- ISBN-13 : 978-0521874151
- Item Weight : 2.25 pounds
- Dimensions : 7 x 1 x 9.7 inches
- Best Sellers Rank: #2,772,719 in Books (See Top 100 in Books)
- #460 in Natural Language Processing (Books)
- #26,852 in Computer Science (Books)
- Customer Reviews:
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4.7 out of 5 stars
4.7 out of 5
16 global ratings
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Reviewed in the United States on September 29, 2010
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7 people found this helpful
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Reviewed in the United States on January 27, 2010
Verified Purchase
Philipp Koehn is a superb lecturer and teacher in the area of statistical machine translation (SMT). I have being living off his lecture notes from the ACL, LSA summer session and Edinburgh for years and eagerly waiting for this book to tie everything together.
Koehn has the ability to take complex statistical concepts and make them comprehensible. And he has an encyclopedic knowledge of the state-of-the-art in SMT. His bibliography alone is worth the price of this book.
This book will be the gold standard in SMT for years to come. I would highly recommend to students and professionals in the field.
Koehn has the ability to take complex statistical concepts and make them comprehensible. And he has an encyclopedic knowledge of the state-of-the-art in SMT. His bibliography alone is worth the price of this book.
This book will be the gold standard in SMT for years to come. I would highly recommend to students and professionals in the field.
12 people found this helpful
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Reviewed in the United States on November 19, 2014
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It is more or less obligatory reading for anyone working on the topic. Goes through most important methods and approaches to implementing the system and the algorithms are described well enough that one can re-implement them easily. There are some errors that can be problematic if you forget to check the errata. Sometimes the notations of formulas are a bit hard to follow. All in all rather well written school-book for contemporary statistical machine translation.
Reviewed in the United States on August 18, 2013
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well written and entertaining text book. would have liked more on hierarchical parsing models. the kindle edition was great except that the diagrams could not be zoomed
One person found this helpful
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Reviewed in the United States on October 28, 2013
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Excellent Book in English wIth brain neutral explanation. Not too much alien symbols. Great thanx to the author. Really good book.!
Top reviews from other countries
Eric Poirier
4.0 out of 5 stars
Very technical but very rigorous
Reviewed in Canada on November 9, 2013Verified Purchase
As a translator and linguist, I found this book very complete. Even if some of the developments in the book are highly technical and statistically oriented (as expected), the author describes clearly what the statistics are used for. The author also explains in details the scientific advances that were made to make operational the statistical automatic translation systems used nowadays.
It should be noted that the translation process or operation described in this book is based on "likely" textual segment associations compiled in bilingual corpora (of translated texts generally made by human translators). This statistical operation has nothing in common with a genuine translation process based on meaning.
Eric Poirier
It should be noted that the translation process or operation described in this book is based on "likely" textual segment associations compiled in bilingual corpora (of translated texts generally made by human translators). This statistical operation has nothing in common with a genuine translation process based on meaning.
Eric Poirier
Diego Moussallem
5.0 out of 5 stars
Awesome book
Reviewed in Germany on August 25, 2017Verified Purchase
If you are a PhD student who researches in the machine translation field you must buy this book. It gives you the enough background for understanding MT systems.
Himanshu Maurya
5.0 out of 5 stars
The books if you are serious about statistical machine translation
Reviewed in India on September 1, 2018Verified Purchase
Amazing read !!
Tiago Torrent
5.0 out of 5 stars
Great course book
Reviewed in Brazil on October 25, 2014Verified Purchase
That's a great course book. I've been using it with a group of undergrads and we find the text clear and the approach comprehensive.
Carlos Ramisch
5.0 out of 5 stars
A textbook for SMT researchers
Reviewed in France on April 9, 2010Verified Purchase
A nice and quite complete introduction to the field of statistical machine translation by one of the most successful researchers in the field. It provides the basic foundations, both in linguistics and in statistics, for those who never heard about SMT but it also provides pointers on advanced topics like syntax-based models for those who are already familiar with SMT. Most of the chapters have plenty of examples that aid in understanding and plenty of references that provide endless material for further reading.



