Statistical Linguistic Translation (MT) System

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A Statistical Linguistic Translation (MT) System is a data-driven MT system that is a statistical NLP system.



References

2020

  1. W. Weaver (1955). Translation (1949). In: Machine Translation of Languages, MIT Press, Cambridge, MA.
  2. P. Brown; John Cocke, S. Della Pietra, V. Della Pietra, Frederick Jelinek, Robert L. Mercer, P. Roossin (1988). "A statistical approach to language translation". Coling'88.
  3. P. Brown; John Cocke, S. Della Pietra, V. Della Pietra, Frederick Jelinek, John D. Lafferty, Robert L. Mercer, P. Roossin (1990). "A statistical approach to machine translation". Computational Linguistics. MIT Press. 16 (2): 79–85. Retrieved 22 March 2015.
  4. P. Brown; S. Della Pietra, V. Della Pietra, and R. Mercer (1993). "The mathematics of statistical machine translation: parameter estimation". Computational Linguistics. MIT Press. 19 (2): 263–311. Retrieved 22 March 2015.

2020

  • http://www.statmt.org/moses/?n=Moses.Background
    • QUOTE: MOSES ... The figure below illustrates the process of phrase-based translation. The input is segmented into a number of sequences of consecutive words (so-called phrases). Each phrase is translated into an English phrase, and English phrases in the output may be reordered.

      In this section, we will define the phrase-based machine translation model formally. The phrase translation model is based on the noisy channel model. We use Bayes rule to reformulate the translation probability for translating a foreign sentence f into English e as [math]argmax_{e} p(e|f) = argmax_{e} p(f|e) p(e)[/math] ...

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