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Predicting Target Language CCG Supertags Improves Neural Machine Translation
Maria Nădejde
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Siva Reddy
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Rico Sennrich
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Tomasz Dwojak
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Marcin Junczys-Dowmunt
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Philipp Koehn
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Alexandra Birch
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
WMT |
WS |
SIG: SIGMT
Citations
URL
Multi-Source Syntactic Neural Machine Translation
Anna Currey
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Kenneth Heafield
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A Tree-based Decoder for Neural Machine Translation
Xinyi Wang
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Hieu Pham
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Pengcheng Yin
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Graham Neubig
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Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks
Diego Marcheggiani
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Joost Bastings
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Ivan Titov
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Multi-representation ensembles and delayed SGD updates improve syntax-based NMT
Danielle Saunders
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Felix Stahlberg
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Adrià de Gispert
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Bill Byrne
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SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags
Eva Vanmassenhove
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Andy Way
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https://github.com/uwnlp/EasySRL
https://github.com/rsennrich/nematus
https://en.wikipedia.org/wiki/Romanian_
Field Of Study
Linguistic Trends
Syntax
Morphology
Task
Machine Translation
Language
English
Hindi
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