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Montreal Neural Machine Translation Systems for WMT’15
Sébastien Jean
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Orhan Firat
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Kyunghyun Cho
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Roland Memisevic
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Yoshua Bengio
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Paper Details:
Month: September
Year: 2015
Location: Lisbon, Portugal
Venue:
WMT |
WS |
SIG: SIGMT
Citations
URL
Adaptive Weighting for Neural Machine Translation
Yachao Li
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Junhui Li
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Min Zhang
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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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Zero-Resource Translation with Multi-Lingual Neural Machine Translation
Orhan Firat
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Baskaran Sankaran
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Yaser Al-onaizan
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Fatos T. Yarman Vural
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Kyunghyun Cho
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Unsupervised Pretraining for Sequence to Sequence Learning
Prajit Ramachandran
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Peter Liu
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Quoc Le
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Paraphrasing Revisited with Neural Machine Translation
Jonathan Mallinson
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Rico Sennrich
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Mirella Lapata
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Compression of Neural Machine Translation Models via Pruning
Abigail See
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Minh-Thang Luong
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Christopher D. Manning
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Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
Orhan Firat
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Kyunghyun Cho
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Yoshua Bengio
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Sentence Simplification with Memory-Augmented Neural Networks
Tu Vu
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Baotian Hu
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Tsendsuren Munkhdalai
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Hong Yu
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Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models
Minh-Thang Luong
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Christopher D. Manning
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Syntactically Guided Neural Machine Translation
Felix Stahlberg
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Eva Hasler
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Aurelien Waite
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Bill Byrne
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Character-based Neural Machine Translation
Marta R. Costa-jussà
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José A. R. Fonollosa
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Modeling Source Syntax for Neural Machine Translation
Junhui Li
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Deyi Xiong
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Zhaopeng Tu
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Muhua Zhu
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Min Zhang
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Guodong Zhou
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Bandit Structured Prediction for Neural Sequence-to-Sequence Learning
Julia Kreutzer
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Artem Sokolov
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Stefan Riezler
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Triangular Architecture for Rare Language Translation
Shuo Ren
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Wenhu Chen
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Shujie Liu
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Mu Li
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Ming Zhou
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Shuai Ma
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Graph-based Filtering of Out-of-Vocabulary Words for Encoder-Decoder Models
Satoru Katsumata
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Yukio Matsumura
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Hayahide Yamagishi
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Mamoru Komachi
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Pushing the Limits of Translation Quality Estimation
André F. T. Martins
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Marcin Junczys-Dowmunt
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Fabio N. Kepler
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Ramón Astudillo
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Chris Hokamp
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Roman Grundkiewicz
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Sensible at SemEval-2016 Task 11: Neural Nonsense Mangled in Ensemble Mess
Gillin Nat
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Findings of the 2015 Workshop on Statistical Machine Translation
Ondřej Bojar
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Rajen Chatterjee
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Christian Federmann
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Barry Haddow
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Matthias Huck
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Chris Hokamp
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Philipp Koehn
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Varvara Logacheva
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Christof Monz
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Matteo Negri
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Matt Post
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Carolina Scarton
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Lucia Specia
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Marco Turchi
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Copied Monolingual Data Improves Low-Resource Neural Machine Translation
Anna Currey
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Antonio Valerio Miceli Barone
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Kenneth Heafield
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A Shared Task on Bandit Learning for Machine Translation
Artem Sokolov
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Julia Kreutzer
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Kellen Sunderland
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Pavel Danchenko
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Witold Szymaniak
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Hagen Fürstenau
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Stefan Riezler
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Improving Japanese-to-English Neural Machine Translation by Paraphrasing the Target Language
Yuuki Sekizawa
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Tomoyuki Kajiwara
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Mamoru Komachi
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Simple Fusion: Return of the Language Model
Felix Stahlberg
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James Cross
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Veselin Stoyanov
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Correcting Length Bias in Neural Machine Translation
Kenton Murray
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David Chiang
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Investigating Phrase-Based and Neural-Based Machine Translation on Low-Resource Settings
Hai Long Trieu
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Duc-Vu Tran
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Le Minh Nguyen
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http://www.statmt.org/wmt11/
http://matrix.statmt.org/
Field Of Study
Linguistic Trends
Embeddings
Task
Machine Translation
Language
English
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