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Nematus: a Toolkit for Neural Machine Translation
Rico Sennrich
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Orhan Firat
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Kyunghyun Cho
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Alexandra Birch
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Barry Haddow
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Julian Hitschler
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Marcin Junczys-Dowmunt
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Samuel Läubli
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Antonio Valerio Miceli Barone
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Jozef Mokry
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Maria Nădejde
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Paper Details:
Month: April
Year: 2017
Location: Valencia, Spain
Venue:
EACL |
Citations
URL
Multi-layer Representation Fusion for Neural Machine Translation
Qiang Wang
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Fuxue Li
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Tong Xiao
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Yanyang Li
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Yinqiao Li
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Jingbo Zhu
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Multilingual Neural Machine Translation with Task-Specific Attention
Graeme Blackwood
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Miguel Ballesteros
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Todd Ward
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Paradigm Completion for Derivational Morphology
Ryan Cotterell
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Ekaterina Vylomova
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Huda Khayrallah
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Christo Kirov
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David Yarowsky
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An empirical study on the effectiveness of images in Multimodal Neural Machine Translation
Jean-Benoit Delbrouck
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Stéphane Dupont
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Instance Weighting for Neural Machine Translation Domain Adaptation
Rui Wang
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Masao Utiyama
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Lemao Liu
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Kehai Chen
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Eiichiro Sumita
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Regularization techniques for fine-tuning in neural machine translation
Antonio Valerio Miceli Barone
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Barry Haddow
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Ulrich Germann
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Rico Sennrich
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Neural Machine Translation with Source Dependency Representation
Kehai Chen
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Rui Wang
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Masao Utiyama
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Lemao Liu
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Akihiro Tamura
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Eiichiro Sumita
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Tiejun Zhao
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Sentence Compression for Arbitrary Languages via Multilingual Pivoting
Jonathan Mallinson
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Rico Sennrich
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Mirella Lapata
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A Visual Attention Grounding Neural Model for Multimodal Machine Translation
Mingyang Zhou
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Runxiang Cheng
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Yong Jae Lee
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Zhou Yu
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CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++
Xiaolin Wang
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Masao Utiyama
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Eiichiro Sumita
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The SUMMA Platform Prototype
Renars Liepins
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Ulrich Germann
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Guntis Barzdins
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Alexandra Birch
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Steve Renals
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Susanne Weber
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Peggy van der Kreeft
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Hervé Bourlard
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João Prieto
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Ondřej Klejch
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Peter Bell
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Alexandros Lazaridis
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Alfonso Mendes
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Sebastian Riedel
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Mariana S. C. Almeida
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Pedro Balage
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Shay B. Cohen
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Tomasz Dwojak
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Philip N. Garner
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Andreas Giefer
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Marcin Junczys-Dowmunt
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Hina Imran
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David Nogueira
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Ahmed Ali
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Sebastião Miranda
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Andrei Popescu-Belis
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Lesly Miculicich Werlen
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Nikos Papasarantopoulos
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Abiola Obamuyide
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Clive Jones
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Fahim Dalvi
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Andreas Vlachos
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Yang Wang
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Sibo Tong
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Rico Sennrich
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Nikolaos Pappas
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Shashi Narayan
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Marco Damonte
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Nadir Durrani
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Sameer Khurana
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Ahmed Abdelali
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Hassan Sajjad
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Stephan Vogel
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David Sheppey
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Chris Hernon
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Jeff Mitchell
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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
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Tiejun Zhao
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An Exploration of Neural Sequence-to-Sequence Architectures for Automatic Post-Editing
Marcin Junczys-Dowmunt
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Roman Grundkiewicz
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Imagination Improves Multimodal Translation
Desmond Elliott
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Ákos Kádár
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Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs
Fernando Alva-Manchego
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Joachim Bingel
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Gustavo Paetzold
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Carolina Scarton
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Lucia Specia
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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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A Parallel Corpus of Python Functions and Documentation Strings for Automated Code Documentation and Code Generation
Antonio Valerio Miceli Barone
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Rico Sennrich
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Grammatical Error Correction with Neural Reinforcement Learning
Keisuke Sakaguchi
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Matt Post
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Benjamin Van Durme
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Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection
Peter Makarov
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Tatiana Ruzsics
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Simon Clematide
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Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering
Deepak Gupta
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Pabitra Lenka
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Asif Ekbal
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Pushpak Bhattacharyya
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Upping the Ante: Towards a Better Benchmark for Chinese-to-English Machine Translation
Christian Hadiwinoto
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Hwee Tou Ng
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ESCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing
Matteo Negri
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Marco Turchi
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Rajen Chatterjee
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Nicola Bertoldi
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Correction of OCR Word Segmentation Errors in Articles from the ACL Collection through Neural Machine Translation Methods
Vivi Nastase
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Julian Hitschler
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The IIT Bombay English-Hindi Parallel Corpus
Anoop Kunchukuttan
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Pratik Mehta
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Pushpak Bhattacharyya
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Training and Adapting Multilingual NMT for Less-resourced and Morphologically Rich Languages
Matīss Rikters
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Mārcis Pinnis
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Rihards Krišlauks
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Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task
Marcin Junczys-Dowmunt
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Roman Grundkiewicz
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Shubha Guha
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Kenneth Heafield
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Cross-Lingual Abstract Meaning Representation Parsing
Marco Damonte
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Shay B. Cohen
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Evaluating Discourse Phenomena in Neural Machine Translation
Rachel Bawden
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Rico Sennrich
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Alexandra Birch
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Barry Haddow
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Pieces of Eight: 8-bit Neural Machine Translation
Jerry Quinn
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Miguel Ballesteros
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Towards String-To-Tree Neural Machine Translation
Roee Aharoni
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Yoav Goldberg
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ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations
John Wieting
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Kevin Gimpel
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Forest-Based Neural Machine Translation
Chunpeng Ma
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Akihiro Tamura
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Masao Utiyama
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Tiejun Zhao
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Eiichiro Sumita
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Are BLEU and Meaning Representation in Opposition?
Ondřej Cífka
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Ondřej Bojar
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Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback
Carolin Lawrence
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Stefan Riezler
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Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation
Rui Wang
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Masao Utiyama
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Eiichiro Sumita
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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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The SUMMA Platform: A Scalable Infrastructure for Multi-lingual Multi-media Monitoring
Ulrich Germann
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Renārs Liepins
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Guntis Barzdins
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Didzis Gosko
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Sebastião Miranda
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David Nogueira
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Marian: Fast Neural Machine Translation in C++
Marcin Junczys-Dowmunt
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Roman Grundkiewicz
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Tomasz Dwojak
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Hieu Hoang
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Kenneth Heafield
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Tom Neckermann
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Frank Seide
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Ulrich Germann
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Alham Fikri Aji
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Nikolay Bogoychev
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André F. T. Martins
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Alexandra Birch
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Modeling Past and Future for Neural Machine Translation
Zaixiang Zheng
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Hao Zhou
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Shujian Huang
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Lili Mou
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Xinyu Dai
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Jiajun Chen
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Zhaopeng Tu
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Curriculum Learning and Minibatch Bucketing in Neural Machine Translation
Tom Kocmi
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Ondřej Bojar
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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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Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation
Marine Carpuat
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Yogarshi Vyas
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Xing Niu
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The WebNLG Challenge: Generating Text from RDF Data
Claire Gardent
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Anastasia Shimorina
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Shashi Narayan
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Laura Perez-Beltrachini
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Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings
Annette Rios Gonzales
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Laura Mascarell
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Rico Sennrich
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Evaluating the morphological competence of Machine Translation Systems
Franck Burlot
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François Yvon
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Target-side Word Segmentation Strategies for Neural Machine Translation
Matthias Huck
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Simon Riess
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Alexander Fraser
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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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Deep architectures for Neural Machine Translation
Antonio Valerio Miceli Barone
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Jindřich Helcl
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Rico Sennrich
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Barry Haddow
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Alexandra Birch
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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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Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description
Desmond Elliott
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Stella Frank
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Loïc Barrault
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Fethi Bougares
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Lucia Specia
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CUNI submission in WMT17: Chimera goes neural
Roman Sudarikov
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David Mareček
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Tom Kocmi
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Dušan Variš
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Ondřej Bojar
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LIMSI@WMT’17
Franck Burlot
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Pooyan Safari
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Matthieu Labeau
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Alexandre Allauzen
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François Yvon
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The JHU Machine Translation Systems for WMT 2017
Shuoyang Ding
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Huda Khayrallah
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Philipp Koehn
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Matt Post
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Gaurav Kumar
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Kevin Duh
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LIUM Machine Translation Systems for WMT17 News Translation Task
Mercedes García-Martínez
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Ozan Caglayan
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Walid Aransa
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Adrien Bardet
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Fethi Bougares
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Loïc Barrault
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The AFRL-MITLL WMT17 Systems: Old, New, Borrowed, BLEU
Jeremy Gwinnup
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Timothy Anderson
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Grant Erdmann
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Katherine Young
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Michaeel Kazi
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Elizabeth Salesky
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Brian Thompson
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Jonathan Taylor
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University of Rochester WMT 2017 NMT System Submission
Chester Holtz
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Chuyang Ke
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Daniel Gildea
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LMU Munich’s Neural Machine Translation Systems for News Articles and Health Information Texts
Matthias Huck
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Fabienne Braune
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Alexander Fraser
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NRC Machine Translation System for WMT 2017
Chi-kiu Lo
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Boxing Chen
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Colin Cherry
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George Foster
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Samuel Larkin
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Darlene Stewart
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Roland Kuhn
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The QT21 Combined Machine Translation System for English to Latvian
Jan-Thorsten Peter
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Hermann Ney
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Ondřej Bojar
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Ngoc-Quan Pham
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Jan Niehues
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Alex Waibel
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Franck Burlot
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François Yvon
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Mārcis Pinnis
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Valters Šics
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Joost Bastings
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Miguel Rios
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Wilker Aziz
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Philip Williams
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Frédéric Blain
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Lucia Specia
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The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2017
Ngoc-Quan Pham
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Jan Niehues
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Thanh-Le Ha
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Eunah Cho
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Matthias Sperber
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Alexander Waibel
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C-3MA: Tartu-Riga-Zurich Translation Systems for WMT17
Matīss Rikters
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Chantal Amrhein
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Maksym Del
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Mark Fishel
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The University of Edinburgh’s Neural MT Systems for WMT17
Rico Sennrich
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Alexandra Birch
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Anna Currey
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Ulrich Germann
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Barry Haddow
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Kenneth Heafield
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Antonio Valerio Miceli Barone
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Philip Williams
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CUNI System for the WMT17 Multimodal Translation Task
Jindřich Helcl
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Jindřich Libovický
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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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Multi-source Neural Automatic Post-Editing: FBK’s participation in the WMT 2017 APE shared task
Rajen Chatterjee
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M. Amin Farajian
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Matteo Negri
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Marco Turchi
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Ankit Srivastava
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Santanu Pal
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The AMU-UEdin Submission to the WMT 2017 Shared Task on Automatic Post-Editing
Marcin Junczys-Dowmunt
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Marcin Junczys-Dowmunt
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Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality Estimation
Chris Hokamp
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Using a Graph-based Coherence Model in Document-Level Machine Translation
Leo Born
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Mohsen Mesgar
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Michael Strube
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Meaningless yet meaningful: Morphology grounded subword-level NMT
Tamali Banerjee
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Pushpak Bhattacharyya
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Document-Level Information as Side Constraints for Improved Neural Patent Translation
Laura Jehl
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Stefan Riezler
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Neural Morphological Tagging of Lemma Sequences for Machine Translation
Costanza Conforti
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Matthias Huck
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Alexander Fraser
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An Evaluation of Two Vocabulary Reduction Methods for Neural Machine Translation
Duygu Ataman
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Marcello Federico
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A Smorgasbord of Features to Combine Phrase-Based and Neural Machine Translation
Benjamin Marie
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Atsushi Fujita
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A Dataset and Reranking Method for Multimodal MT of User-Generated Image Captions
Shigehiko Schamoni
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Julian Hitschler
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Stefan Riezler
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Neural Monkey: The Current State and Beyond
Jindřich Helcl
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Jindřich Libovický
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Tom Kocmi
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Tomáš Musil
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Ondřej Cífka
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Dušan Variš
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Ondřej Bojar
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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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Lightweight Word-Level Confidence Estimation for Neural Interactive Translation Prediction
Rebecca Knowles
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Philipp Koehn
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A Comparison of Machine Translation Paradigms for Use in Black-Box Fuzzy-Match Repair
Rebecca Knowles
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John Ortega
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Philipp Koehn
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Neural Machine Translation Techniques for Named Entity Transliteration
Roman Grundkiewicz
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Kenneth Heafield
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Integrating Multiple NLP Technologies into an Open-source Platform for Multilingual Media Monitoring
Ulrich Germann
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Renārs Liepins
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Didzis Gosko
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Guntis Barzdins
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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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Fast Neural Machine Translation Implementation
Hieu Hoang
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Tomasz Dwojak
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Rihards Krislauks
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Daniel Torregrosa
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Kenneth Heafield
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Marian: Cost-effective High-Quality Neural Machine Translation in C++
Marcin Junczys-Dowmunt
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Kenneth Heafield
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Hieu Hoang
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Roman Grundkiewicz
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Anthony Aue
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Evaluating Grammaticality in Seq2seq Models with a Broad Coverage HPSG Grammar: A Case Study on Machine Translation
Johnny Wei
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Khiem Pham
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Brendan O’Connor
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Brian Dillon
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Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments
Dario Stojanovski
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Alexander Fraser
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A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation
Mathias Müller
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Annette Rios
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Elena Voita
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Rico Sennrich
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Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation
Nikolaos Pappas
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Lesly Miculicich
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James Henderson
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Using Monolingual Data in Neural Machine Translation: a Systematic Study
Franck Burlot
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François Yvon
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A Call for Clarity in Reporting BLEU Scores
Matt Post
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Extracting In-domain Training Corpora for Neural Machine Translation Using Data Selection Methods
Catarina Cruz Silva
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Chao-Hong Liu
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Alberto Poncelas
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Andy Way
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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
|
Yvette Graham
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Barry Haddow
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Philipp Koehn
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Christof Monz
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CUNI Submissions in WMT18
Tom Kocmi
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Roman Sudarikov
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Ondřej Bojar
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LIUM-CVC Submissions for WMT18 Multimodal Translation Task
Ozan Caglayan
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Adrien Bardet
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Fethi Bougares
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Loïc Barrault
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Kai Wang
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Marc Masana
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Luis Herranz
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Joost van de Weijer
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LMU Munich’s Neural Machine Translation Systems at WMT 2018
Matthias Huck
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Dario Stojanovski
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Viktor Hangya
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Alexander Fraser
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Findings of the WMT 2018 Shared Task on Automatic Post-Editing
Rajen Chatterjee
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Matteo Negri
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Raphael Rubino
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Marco Turchi
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https://github.com/rsennrich/nematus
https://github.com/nyu-dl/dl4mt-tutorial
http://statmt.org/rsennrich/wmt16_systems/
http://www.wipo.int/pressroom/en/
Field Of Study
Linguistic Trends
Embeddings
Task
Machine Translation
Language
English
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