Machine Translation

, Volume 31, Issue 4, pp 251–255 | Cite as

Shay Cohen: Bayesian analysis in natural language processing. Morgan and Claypool, San Rafael, California, 2016, xxvii + 246 pp, ISBN 9781627058735

Book review


  1. Blunsom P, Cohn T (2010) Inducing synchronous grammars with slice sampling. In: Human language technologies: the 2010 annual conference of the North American chapter of the association for computational linguistics, HLT ’10. Association for Computational Linguistics, Stroudsburg, PA, USA, pp 238–241Google Scholar
  2. DeNero J, Bouchard-Côté A, Klein D (2008) Sampling alignment structure under a Bayesian translation model. In: Proceedings of the conference on empirical methods in natural language processing, EMNLP ’08. Association for Computational Linguistics, Stroudsburg, PA, USA, pp 314–323Google Scholar
  3. Mermer C, Saraclar M, Sarikaya R (2013) Improving statistical machine translation using Bayesian word alignment and Gibbs sampling. IEEE Trans Audio Speech Lang Process 21(5):1090–1101CrossRefGoogle Scholar
  4. Neal RM, Hinton GE (1999) Learning in graphical models. Chapter A View of the EM algorithm that justifies incremental, Sparse, and Other Variants. MIT Press, Cambridge, MA, USA, pp 355–368Google Scholar
  5. Wu D (1997) Stochastic inversion transduction grammars and bilingual parsing of parallel corpora. Comput Linguist 23(3):377–403Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2017

Authors and Affiliations

  1. 1.ScilingValenciaSpain

Personalised recommendations