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Phrase Translation Probabilities with ITG Priors and Smoothing as Learning Objective
Markos Mylonakis
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Khalil Sima’an
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Paper Details:
Month: October
Year: 2008
Location: Honolulu, Hawaii
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Translation Model Generalization using Probability Averaging for Machine Translation
Nan Duan
|
Hong Sun
|
Ming Zhou
|
Fitting Sentence Level Translation Evaluation with Many Dense Features
Miloš Stanojević
|
Khalil Sima’an
|
Learning Hierarchical Translation Structure with Linguistic Annotations
Markos Mylonakis
|
Khalil Sima’an
|
Adapting to All Domains at Once: Rewarding Domain Invariance in SMT
Hoang Cuong
|
Khalil Sima’an
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Ivan Titov
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Learning Probabilistic Synchronous CFGs for Phrase-Based Translation
Markos Mylonakis
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Khalil Sima’an
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Phrase Model Training for Statistical Machine Translation with Word Lattices of Preprocessing Alternatives
Joern Wuebker
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Hermann Ney
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Length-Incremental Phrase Training for SMT
Joern Wuebker
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Hermann Ney
|
http://www.statmt.org/wmt07
http://www.cis.upenn.edu/
Field Of Study
Task
Machine Translation
Approach
Generative Model
Language
English
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