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EMNLP
2007
13 years 10 months ago
A Systematic Comparison of Training Criteria for Statistical Machine Translation
We address the problem of training the free parameters of a statistical machine translation system. We show significant improvements over a state-of-the-art minimum error rate tr...
Richard Zens, Sasa Hasan, Hermann Ney
ACL
2001
13 years 10 months ago
Fast Decoding and Optimal Decoding for Machine Translation
A good decoding algorithm is critical to the success of any statistical machine translation system. The decoder's job is to find the translation that is most likely according...
Ulrich Germann, Michael Jahr, Kevin Knight, Daniel...
ACL
2010
13 years 6 months ago
Paraphrase Lattice for Statistical Machine Translation
Lattice decoding in statistical machine translation (SMT) is useful in speech translation and in the translation of German because it can handle input ambiguities such as speech r...
Takashi Onishi, Masao Utiyama, Eiichiro Sumita
ACL
2009
13 years 6 months ago
Robust Machine Translation Evaluation with Entailment Features
Existing evaluation metrics for machine translation lack crucial robustness: their correlations with human quality judgments vary considerably across languages and genres. We beli...
Sebastian Padó, Michel Galley, Daniel Juraf...
COLING
2010
13 years 3 months ago
Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation
This paper addresses the problem of dynamic model parameter selection for loglinear model based statistical machine translation (SMT) systems. In this work, we propose a principle...
Mu Li, Yinggong Zhao, Dongdong Zhang, Ming Zhou