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IAJIT
2011
14 years 6 months ago
Improving the accuracy of English-Arabic statistical sentence alignment
: Multilingual natural language processing systems are increasingly relying on parallel corpus to ameliorate their output. Parallel corpora constitute the basic block for training ...
Mohammad Salameh, Rached Zantout, Nashat Mansour
TASLP
2008
142views more  TASLP 2008»
14 years 11 months ago
HMM Word and Phrase Alignment for Statistical Machine Translation
HMM-based models are developed for the alignment of words and phrases in bitext. The models are formulated so that alignment and parameter estimation can be performed efficiently....
Yonggang Deng, William J. Byrne
ACL
2004
15 years 1 months ago
Statistical Machine Translation with Word- and Sentence-Aligned Parallel Corpora
The parameters of statistical translation models are typically estimated from sentence-aligned parallel corpora. We show that significant improvements in the alignment and transla...
Chris Callison-Burch, David Talbot, Miles Osborne
ACL
2007
15 years 1 months ago
Guiding Statistical Word Alignment Models With Prior Knowledge
We present a general framework to incorporate prior knowledge such as heuristics or linguistic features in statistical generative word alignment models. Prior knowledge plays a ro...
Yonggang Deng, Yuqing Gao
ACL
2012
13 years 2 months ago
Improving the IBM Alignment Models Using Variational Bayes
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...
Darcey Riley, Daniel Gildea