Publication details [#18403]
Koehn, Philipp. 2009. Statistical machine translation. Cambridge: Cambridge University Press. XII + 433 pp.
The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This textbook provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject’s building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to the area.
Source : Based on publisher information
Vandeghinste, Vincent and Frank Van Eynde. 2012. Review of Statistical machine translation. In Brems, Elke, Reine Meylaerts and Luc van Doorslaer, eds. The known unknowns of Translation Studies. Special issue of Target 24 (1): 154–156.