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Choosing the Right Translation: A Syntactically Informed Classification Approach
Simon Zwarts
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Mark Dras
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Paper Details:
Month: August
Year: 2008
Location: Manchester, UK
Venue:
COLING |
Citations
URL
Predicting the Fluency of Text with Shallow Structural Features: Case Studies of Machine Translation and Human-Written Text
Jieun Chae
|
Ani Nenkova
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User Edits Classification Using Document Revision Histories
Amit Bronner
|
Christof Monz
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Positive Diversity Tuning for Machine Translation System Combination
Daniel Cer
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Christopher D. Manning
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Dan Jurafsky
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How to Know the Best Machine Translation System in Advance before Translating a Sentence?
Bibekananda Kundu
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Sanjay Kumar Choudhury
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http://creativecommons.org/licenses/by-nc-
http://svmlight.joachims.org
http://nlp.stanford.edu/software/classifier.shtml
Field Of Study
Linguistic Trends
Syntax
Language
English
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