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A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions
Antonio Toral
|
Víctor M. Sánchez-Cartagena
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Paper Details:
Month: April
Year: 2017
Location: Valencia, Spain
Venue:
EACL |
Citations
URL
Dynamic Data Selection for Neural Machine Translation
Marlies van der Wees
|
Arianna Bisazza
|
Christof Monz
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A Challenge Set Approach to Evaluating Machine Translation
Pierre Isabelle
|
Colin Cherry
|
George Foster
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Improving Sequence to Sequence Neural Machine Translation by Utilizing Syntactic Dependency Information
An Nguyen Le
|
Ander Martinez
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Akifumi Yoshimoto
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Yuji Matsumoto
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Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder
Fahim Dalvi
|
Nadir Durrani
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Hassan Sajjad
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Yonatan Belinkov
|
Stephan Vogel
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Evaluating Domain Adaptation for Machine Translation Across Scenarios
Thierry Etchegoyhen
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Anna Fernández Torné
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Andoni Azpeitia
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Eva Martínez Garcia
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Anna Matamala
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What do Neural Machine Translation Models Learn about Morphology?
Yonatan Belinkov
|
Nadir Durrani
|
Fahim Dalvi
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Hassan Sajjad
|
James Glass
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Exploring Neural Methods for Parsing Discourse Representation Structures
Rik van Noord
|
Lasha Abzianidze
|
Antonio Toral
|
Johan Bos
|
Evaluating the morphological competence of Machine Translation Systems
Franck Burlot
|
François Yvon
|
Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MT
Marianna Martindale
|
Marine Carpuat
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A Comparison of Machine Translation Paradigms for Use in Black-Box Fuzzy-Match Repair
Rebecca Knowles
|
John Ortega
|
Philipp Koehn
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Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation
Antonio Toral
|
Sheila Castilho
|
Ke Hu
|
Andy Way
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Improving Machine Translation of English Relative Clauses with Automatic Text Simplification
Sanja Štajner
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Maja Popović
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http://www.statmt.org/wmt16/
http://data.statmt.org/
http://www.nltk.org
http://research.variancia.com/czech_
https://github.com/antot/neural_vs_
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