40 search results - page 2 / 8 » Procrustes Alignment with the EM Algorithm |
MT
1998
13 years 4 months ago
1998
We present a quantitative evaluation of one well-known word alignment algorithm, as well as an analysis of frequent errors in terms of this model's underlying assumptions. De...
ACL
2012
11 years 7 months ago
2012
Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
ACL
2008
13 years 6 months ago
2008
Automatic word alignment is a key step in training statistical machine translation systems. Despite much recent work on word alignment methods, alignment accuracy increases often ...
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
In EM and related algorithms, E-step computations distribute easily, because data items are independent given parameters. For very large data sets, however, even storing all of th...
COLING
2010
13 years 8 days ago
2010
This paper proposes a novel semisupervised word alignment technique called EMDC that integrates discriminative and generative methods. A discriminative aligner is used to find hig...