PDF Ebook Statistical Machine Translation, by Philipp Koehn
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Statistical Machine Translation, by Philipp Koehn
PDF Ebook Statistical Machine Translation, by Philipp Koehn
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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.
- Sales Rank: #840056 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2010-01-18
- Original language: English
- Number of items: 1
- Dimensions: 9.72" h x .98" w x 6.85" l, 2.25 pounds
- Binding: Hardcover
- 446 pages
- Used Book in Good Condition
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
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.
Most helpful customer reviews
12 of 12 people found the following review helpful.
Gold Standard in SMT
By Jay Yamada
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.
6 of 6 people found the following review helpful.
Must-Have Item for MT System Developer
By Sunghyun Kim
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.
0 of 0 people found the following review helpful.
Must-have for all scientists working on SMT
By Tommi Pirinen
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.
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