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COLING
2010
13 years 1 months ago
Syntax Based Reordering with Automatically Derived Rules for Improved Statistical Machine Translation
Syntax based reordering has been shown to be an effective way of handling word order differences between source and target languages in Statistical Machine Translation (SMT) syste...
Karthik Visweswariah, Jiri Navratil, Jeffrey S. So...
EMNLP
2006
13 years 8 months ago
The impact of parse quality on syntactically-informed statistical machine translation
We investigate the impact of parse quality on a syntactically-informed statistical machine translation system applied to technical text. We vary parse quality by varying the amoun...
Chris Quirk, Simon Corston-Oliver
EMNLP
2006
13 years 8 months ago
Statistical Machine Reordering
Reordering is currently one of the most important problems in statistical machine translation systems. This paper presents a novel strategy for dealing with it: statistical machin...
Marta R. Costa-Jussà, José A. R. Fon...
ACL
2012
11 years 9 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
COLING
2010
13 years 1 months ago
Contextual Modeling for Meeting Translation Using Unsupervised Word Sense Disambiguation
In this paper we investigate the challenges of applying statistical machine translation to meeting conversations, with a particular view towards analyzing the importance of modeli...
Mei Yang, Katrin Kirchhoff