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Incorporating Discrete Translation Lexicons into Neural Machine Translation
Philip Arthur
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Graham Neubig
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Satoshi Nakamura
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Paper Details:
Month: November
Year: 2016
Location: Austin, Texas
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Pre-Translation for Neural Machine Translation
Jan Niehues
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Eunah Cho
|
Thanh-Le Ha
|
Alex Waibel
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Neural Machine Translation with Supervised Attention
Lemao Liu
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Masao Utiyama
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Andrew Finch
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Eiichiro Sumita
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A Survey of Domain Adaptation for Neural Machine Translation
Chenhui Chu
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Rui Wang
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Memory-augmented Neural Machine Translation
Yang Feng
|
Shiyue Zhang
|
Andi Zhang
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Dong Wang
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Andrew Abel
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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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Addressing Troublesome Words in Neural Machine Translation
Yang Zhao
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Jiajun Zhang
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Zhongjun He
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Chengqing Zong
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Hua Wu
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Context and Copying in Neural Machine Translation
Rebecca Knowles
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Philipp Koehn
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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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Context-Aware Smoothing for Neural Machine Translation
Kehai Chen
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Rui Wang
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Masao Utiyama
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Eiichiro Sumita
|
Tiejun Zhao
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Improving Neural Machine Translation through Phrase-based Forced Decoding
Jingyi Zhang
|
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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Very Large-Scale Lexical Resources to Enhance Chinese and Japanese Machine Translation
Jack Halpern
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Exploiting Pre-Ordering for Neural Machine Translation
Yang Zhao
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Jiajun Zhang
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Chengqing Zong
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Improving Lexical Choice in Neural Machine Translation
Toan Nguyen
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David Chiang
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Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation
Matt Post
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David Vilar
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Guiding Neural Machine Translation with Retrieved Translation Pieces
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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Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings
Shaohui Kuang
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Junhui Li
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António Branco
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Weihua Luo
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Deyi Xiong
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Japanese-English Machine Translation of Recipe Texts
Takayuki Sato
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Jun Harashima
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Mamoru Komachi
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Lexicons and Minimum Risk Training for Neural Machine Translation: NAIST-CMU at WAT2016
Graham Neubig
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Stronger Baselines for Trustable Results in Neural Machine Translation
Michael Denkowski
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Graham Neubig
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Six Challenges for Neural Machine Translation
Philipp Koehn
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Rebecca Knowles
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Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information
Tamer Alkhouli
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Hermann Ney
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Guiding Neural Machine Translation Decoding with External Knowledge
Rajen Chatterjee
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Matteo Negri
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Marco Turchi
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Marcello Federico
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Lucia Specia
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Frédéric Blain
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Document-Level Adaptation for Neural Machine Translation
Sachith Sri Ram Kothur
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Rebecca Knowles
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Philipp Koehn
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An Analysis of Encoder Representations in Transformer-Based Machine Translation
Alessandro Raganato
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Jörg Tiedemann
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On The Alignment Problem In Multi-Head Attention-Based Neural Machine Translation
Tamer Alkhouli
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Gabriel Bretschner
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Hermann Ney
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Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation
Zhong Zhou
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Matthias Sperber
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Alexander Waibel
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http://isw3.naist.jp/~philip-a/emnlp2016/index.html
http://chainer.org/index.html
http://www.statmt.org/moses/
http://www.phontron.com/travatar/
http://eijiro.jp
http://www.phontron.com/kftt
Field Of Study
Task
Machine Translation
Language
English
Japanese
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