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CICLING
2010
Springer
14 years 1 months ago
A Maximum Entropy Approach to Syntactic Translation Rule Filtering
In this paper we will present a maximum entropy filter for the translation rules of a statistical machine translation system based on tree transducers. This filter can be success...
Marcin Junczys-Dowmunt
ACL
2003
13 years 10 months ago
Feature-Rich Statistical Translation of Noun Phrases
We define noun phrase translation as a subtask of machine translation. This enables us to build a dedicated noun phrase translation subsystem that improves over the currently bes...
Philipp Koehn, Kevin Knight
ACL
2012
11 years 11 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
ACL
2001
13 years 10 months ago
Towards a Unified Approach to Memory- and Statistical-Based Machine Translation
We present a set of algorithms that enable us to translate natural language sentences by exploiting both a translation memory and a statistical-based translation model. Our result...
Daniel Marcu
ICASSP
2011
IEEE
13 years 19 days ago
Combination of stochastic understanding and machine translation systems for language portability of dialogue systems
In this paper, several approaches for language portability of dialogue systems are investigated with a focus on the spoken language understanding (SLU) component. We show that the...
Bassam Jabaian, Laurent Besacier, Fabrice Lefevre