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Statistical machine translation
Abstract
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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Cites
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Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 2010-07-01
- Volume
- 47
- Issue
- 11
- Pages
- 47-6293-47-6293
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W1916559533
- Cited by
- 1,309
- References
- 2
- Type
- book review
- Language
- en
- Open access
- closed
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