Statistical Machine Translation

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.

Author: Philipp Koehn
Publisher: Cambridge University Press
Published: 12/17/2009
Pages: 446
Binding Type: Hardcover
Weight: 2.25lbs
Size: 9.70h x 7.00w x 1.00d
ISBN13: 9780521874151
ISBN10: 0521874157
BISAC Categories:
- Computers | Artificial Intelligence | Natural Language Processing