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Agreement Constraints for Statistical Machine Translation into German
Philip Williams
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Philipp Koehn
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Paper Details:
Month: July
Year: 2011
Location: Edinburgh, Scotland
Venue:
WMT |
WS |
SIG: SIGMT
Citations
URL
Class-Based Language Modeling for Translating into Morphologically Rich Languages
Arianna Bisazza
|
Christof Monz
|
Modeling Inflection and Word-Formation in SMT
Alexander Fraser
|
Marion Weller
|
Aoife Cahill
|
Fabienne Cap
|
How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs
Rico Sennrich
|
Addressing Problems across Linguistic Levels in SMT: Combining Approaches to Model Morphology, Syntax and Lexical Choice
Marion Weller-Di Marco
|
Alexander Fraser
|
Sabine Schulte im Walde
|
Zmorge: A German Morphological Lexicon Extracted from Wiktionary
Rico Sennrich
|
Beat Kunz
|
Morphological Modeling for Machine Translation of English-Iraqi Arabic Spoken Dialogs
Katrin Kirchhoff
|
Yik-Cheung Tam
|
Colleen Richey
|
Wen Wang
|
A Class-Based Agreement Model for Generating Accurately Inflected Translations
Spence Green
|
John DeNero
|
Modelling and Optimizing on Syntactic N-Grams for Statistical Machine Translation
Rico Sennrich
|
Incorporating Linguistic Knowledge in Statistical Machine Translation: Translating Prepositions
Reshef Shilon
|
Hanna Fadida
|
Shuly Wintner
|
Edinburgh’s Syntax-Based Machine Translation Systems
Maria Nadejde
|
Philip Williams
|
Philipp Koehn
|
Using Feature Structures to Improve Verb Translation in English-to-German Statistical MT
Philip Williams
|
Philipp Koehn
|
CimS – The CIS and IMS joint submission to WMT 2014 translating from English into German
Fabienne Cap
|
Marion Weller
|
Anita Ramm
|
Alexander Fraser
|
Edinburgh’s Syntax-Based Systems at WMT 2014
Philip Williams
|
Rico Sennrich
|
Maria Nadejde
|
Matthias Huck
|
Eva Hasler
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Philipp Koehn
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Edinburgh’s Statistical Machine Translation Systems for WMT16
Philip Williams
|
Rico Sennrich
|
Maria Nădejde
|
Matthias Huck
|
Barry Haddow
|
Ondřej Bojar
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Neural Morphological Tagging of Lemma Sequences for Machine Translation
Costanza Conforti
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Matthias Huck
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Alexander Fraser
|
http://www.statmt.org/wmt10/
http://www.ims.uni-stuttgart.de/tcl/
http://code.google.com/p/morphisto/
http://www.ecdf.ed.ac.uk
http://www.edikt.org.uk
Field Of Study
Linguistic Trends
Morphology
Task
Machine Translation
Language
English
Dataset
News
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