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Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices
Felix Stahlberg
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Adrià de Gispert
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Eva Hasler
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Bill Byrne
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Paper Details:
Month: April
Year: 2017
Location: Valencia, Spain
Venue:
EACL |
Citations
URL
Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search
Leonard Dahlmann
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Evgeny Matusov
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Pavel Petrushkov
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Shahram Khadivi
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Improving Neural Machine Translation through Phrase-based Forced Decoding
Jingyi Zhang
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Masao Utiyama
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Eiichro Sumita
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Graham Neubig
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Satoshi Nakamura
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Neural Lattice Search for Domain Adaptation in Machine Translation
Huda Khayrallah
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Gaurav Kumar
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Kevin Duh
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Matt Post
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Philipp Koehn
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Neural Machine Translation Decoding with Terminology Constraints
Eva Hasler
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Adrià de Gispert
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Gonzalo Iglesias
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Bill Byrne
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Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment
Gonzalo Iglesias
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William Tambellini
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Adrià De Gispert
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Eva Hasler
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Bill Byrne
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Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation
Felix Stahlberg
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Danielle Saunders
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Gonzalo Iglesias
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Bill Byrne
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Findings of the 2018 Conference on Machine Translation (WMT18)
Ondřej Bojar
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Christian Federmann
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Mark Fishel
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Yvette Graham
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Barry Haddow
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Philipp Koehn
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Christof Monz
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http://matrix.statmt.org/
http://ucam-smt.github.io/
http://ucam-smt.github.io/sgnmt/html/
http://lotus.kuee.kyoto-u
http://ucam-smt.github
Field Of Study
Task
Machine Translation
Language
Japanese
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