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Fitting Sentence Level Translation Evaluation with Many Dense Features
Miloš Stanojević
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Khalil Sima’an
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Paper Details:
Month: October
Year: 2014
Location: Doha, Qatar
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Hierarchical Permutation Complexity for Word Order Evaluation
Miloš Stanojević
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Khalil Sima’an
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Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Joost Bastings
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Ivan Titov
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Wilker Aziz
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Diego Marcheggiani
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Khalil Sima’an
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Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning
Julia Kreutzer
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Joshua Uyheng
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Stefan Riezler
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BEER 1.1: ILLC UvA submission to metrics and tuning task
Miloš Stanojević
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Khalil Sima’an
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Word Representations in Factored Neural Machine Translation
Franck Burlot
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Mercedes García-Martínez
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Loïc Barrault
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Fethi Bougares
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François Yvon
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Evaluating the morphological competence of Machine Translation Systems
Franck Burlot
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François Yvon
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Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning
Jan Niehues
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Eunah Cho
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LIMSI@WMT’17
Franck Burlot
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Pooyan Safari
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Matthieu Labeau
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Alexandre Allauzen
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François Yvon
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Results of the WMT17 Neural MT Training Task
Ondřej Bojar
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Jindřich Helcl
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Tom Kocmi
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Jindřich Libovický
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Tomáš Musil
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Using Monolingual Data in Neural Machine Translation: a Systematic Study
Franck Burlot
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François Yvon
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Design of a Learner Corpus for Listening and Speaking Performance
Katsunori Kotani
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Takehiko Yoshimi
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https://github.com/stanojevic/beer
Field Of Study
Linguistic Trends
Syntax
Morphology
Task
Machine Translation
Language
English
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