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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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Paper Details:
Month: September
Year: 2015
Location: Lisbon, Portugal
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs
Rico Sennrich
|
Discontinuous Verb Phrases in Parsing and Machine Translation of English and German
Sharid Loáiciga
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Kristina Gulordava
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Improving Neural Machine Translation Models with Monolingual Data
Rico Sennrich
|
Barry Haddow
|
Alexandra Birch
|
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich
|
Barry Haddow
|
Alexandra Birch
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Merged bilingual trees based on Universal Dependencies in Machine Translation
David Mareček
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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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Does Multimodality Help Human and Machine for Translation and Image Captioning?
Ozan Caglayan
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Walid Aransa
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Yaxing Wang
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Marc Masana
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Mercedes García-Martínez
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Fethi Bougares
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Loïc Barrault
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Joost van de Weijer
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https://github.com/rsennrich/
Field Of Study
Linguistic Trends
Syntax
Morphology
Task
Machine Translation
Language
French
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