Statistical Machine Translation PDF Download Ebook. Philipp Koehn 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, 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.
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.
This text establishes background in NLP and statistics by developing the basics through to current research. By the end readers can build their own translation systems. It is aimed for advanced undergraduates in computer science, graduate students in computer science and computational linguistics, and researchers in NLP; for instruction or self-study.
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