articleChoice Reviews OnlineJul 1, 2010Closed access

Statistical machine translation

KPKoehn, Philipp
Indexed incrossref

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…

Citation impact

1,352
total citations
FWCI
180.78
Percentile
100%
References
68
Citations per year

Authors

1
  • KP
    Koehn, PhilippCorresponding

Topics & keywords

Keywords
  • Translation (biology)
  • Computer science
  • Machine translation
  • Artificial intelligence
  • Natural language processing
  • Chemistry
UN Sustainable Development Goals
  • Quality Education
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