Bayesian word alignment for statistical machine translation
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This is our reading group slides. For ACL 2011 Poster paper: Bayesian Word Alignment for Statistical Machine Translation
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Bayesian word alignment for statistical machine translation
- 1. Bayesian Word Alignment for Statistical Machine Translation Authors: Coskun Mermer, Murat Saraclar Present by Jun Lang 2011-10-13 I2R SMT-Reading Group
- 5. IBM Model 1 T as a random variable
- 7. Dirichlet Distribution Each source word type te is a distribution over the target vocabulary, to be a Dirichlet distribution Avoid rare words acting as “garbage collectors”
- 8. Dirichlet Distribution sample the unknowns A and T in turn ¬j denotes the exclusion of the current value of aj .
- 9. Algorithm A can be arbitrary, but normal EM output is better
- 10. Results
- 15. 3