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Preference Grammars and Soft Syntactic Constraints for GHKM Syntax-based Statistical Machine Translation
Matthias Huck
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Hieu Hoang
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Philipp Koehn
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Paper Details:
Month: October
Year: 2014
Location: Doha, Qatar
Venue:
SSST |
WS |
SIG: SIGMT
Citations
URL
Rule Selection with Soft Syntactic Features for String-to-Tree Statistical Machine Translation
Fabienne Braune
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Nina Seemann
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Alexander Fraser
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A Joint Dependency Model of Morphological and Syntactic Structure for Statistical Machine Translation
Rico Sennrich
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Barry Haddow
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Augmenting String-to-Tree and Tree-to-String Translation with Non-Syntactic Phrases
Matthias Huck
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Hieu Hoang
|
Philipp Koehn
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Preference Grammars and Soft Syntactic Constraints for GHKM Syntax-based Statistical Machine Translation
Matthias Huck
|
Hieu Hoang
|
Philipp Koehn
|
Edinburgh’s Statistical Machine Translation Systems for WMT16
Philip Williams
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Rico Sennrich
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Maria Nădejde
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Matthias Huck
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Barry Haddow
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Ondřej Bojar
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http://www.statmt.org/wmt14/
Field Of Study
Linguistic Trends
Syntax
Task
Machine Translation
Spoken Language Processing
Language
English
Dataset
News
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