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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