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Statistical Machine Translation By Philipp Koehn
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- Amazon Sales Rank: #1111309 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.
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