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It has been shown that the performance of neural machine translation (NMT) drops starkly in low-resource conditions, underperforming phrase-based statistical machine translation (PBSMT) and requiring large amounts of auxiliary data to achieve competitive results.
A Teacher-Student Framework for Zero-Resource Neural Machine Translation
Yun Chen, Yang Liu, Yong Cheng, and Victor O.K. Li. 2017 · 1935
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Dropout: A Simple Way to Prevent Neural Networks from Overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 1958
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Semi-Supervised Learning for Neural Machine Translation
Yong Cheng, Wei Xu, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu. 2016 · 1974
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BLEU: A Method for Automatic Evaluation of Machine Translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Moses: Open Source Toolkit for Statistical Machine Translation
Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondřej Bojar, Alexandra Constantin, and Evan Herbst. 2007 · 2007
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Parallel Implementations of Word Alignment Tool
Qin Gao and Stephan Vogel. 2008 · 2008
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Batch Tuning Strategies for Statistical Machine Translation
Colin Cherry and George Foster. 2012 · 2012
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Scalable Modified Kneser-Ney Language Model Estimation
Kenneth Heafield, Ivan Pouzyrevsky, Jonathan H. Clark, and Philipp Koehn. 2013 · 2013
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Report on the 11th IWSLT Evaluation Campaign, IWSLT 2014
Mauro Cettolo, Jan Niehues, Sebastian Stüker, Luisa Bentivogli, and Marcello Federico. 2014 · 2014
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Sequence to Sequence Learning with Neural Networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
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Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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On Using Monolingual Corpora in Neural Machine Translation
Çaglar Gülçehre, Orhan Firat, Kelvin Xu, Kyunghyun Cho, Loïc Barrault, Huei-Chi Lin, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2015 · 2015
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Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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Lei Jimmy Ba, Ryan Kiros, and Geoffrey E. Hinton. 2016 · 2016
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A theoretically grounded application of dropout in recurrent neural networks
Yarin Gal and Zoubin Ghahramani. 2016 · 2016
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Dual Learning for Machine Translation
Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tieyan Liu, and Wei-Ying Ma. 2016 · 2016
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Multi-task Sequence to Sequence Learning
Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, and Lukasz Kaiser. 2016 · 2016
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Sequence Level Training with Recurrent Neural Networks
Marc’Aurelio Ranzato, Sumit Chopra, Michael Auli, and Wojciech Zaremba. 2016 · 2016
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Rethinking the Inception Architecture for Computer Vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, and Z. Wojna. 2016 · 2016
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Sequence-to-sequence learning as beam-search optimization
Sam Wiseman and Alexander M. Rush. 2016 · 2016
Cited alongside, same era.
Transfer Learning for Low-Resource Neural Machine Translation
Barret Zoph, Deniz Yuret, Jonathan May, and Kevin Knight. 2016 · 2016
Cited alongside, same era.
Copied Monolingual Data Improves Low-Resource Neural Machine Translation
Anna Currey, Antonio Valerio Miceli Barone, and Kenneth Heafield. 2017 · 2017
Unsupervised Statistical Machine Translation
Mikel Artetxe, Gorka Labaka, and Eneko Agirre. 2018a · 2018
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Revisiting Character-Based Neural Machine Translation with Capacity and Compression
Colin Cherry, George Foster, Ankur Bapna, Orhan Firat, and Wolfgang Macherey. 2018 · 2018
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Classical structured prediction losses for sequence to sequence learning
Sergey Edunov, Myle Ott, Michael Auli, David Grangier, and Marc’Aurelio Ranzato. 2018 · 2018
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Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction
Maha Elbayad, Laurent Besacier, and Jakob Verbeek. 2018 · 2018
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Universal Neural Machine Translation for Extremely Low Resource Languages
Jiatao Gu, Hany Hassan, Jacob Devlin, and Victor O.K. Li. 2018a · 2018
Later among the works it cites.
Meta-Learning for Low-Resource Neural Machine Translation
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Cited alongside, same era.
Six Challenges for Neural Machine Translation
Philipp Koehn and Rebecca Knowles. 2017 · 2017
Cited alongside, same era.
Deep Architectures for Neural Machine Translation
Antonio Valerio Miceli Barone, Jindřich Helcl, Rico Sennrich, Barry Haddow, and Alexandra Birch. 2017 · 2017
Cited alongside, same era.
An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation
Makoto Morishita, Yusuke Oda, Graham Neubig, Koichiro Yoshino, Katsuhito Sudoh, and Satoshi Nakamura. 2017 · 2017
Cited alongside, same era.
A Bag of Useful Tricks for Practical Neural Machine Translation: Embedding Layer Initialization and Large Batch Size
Masato Neishi, Jin Sakuma, Satoshi Tohda, Shonosuke Ishiwatari, Naoki Yoshinaga, and Masashi Toyoda. 2017 · 2017
Cited alongside, same era.
Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation
Toan Q. Nguyen and David Chiang. 2017 · 2017
Cited alongside, same era.
Neural machine translation for low-resource languages
Robert Östling and Jörg Tiedemann. 2017 · 2017
Cited alongside, same era.
Jiatao Gu, Yong Wang, Yun Chen, Victor O. K. Li, and Kyunghyun Cho. 2018b · 2018
Later among the works it cites.
The University of Edinburgh’s Submissions to the WMT18 News Translation Task
Barry Haddow, Nikolay Bogoychev, Denis Emelin, Ulrich Germann, Roman Grundkiewicz, Kenneth Heafield, Antonio Valerio Miceli Barone, and Rico Sennrich. 2018 · 2018
Later among the works it cites.
Towards Neural Phrase-based Machine Translation
Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, and Li Deng. 2018 · 2018
Later among the works it cites.
Trivial Transfer Learning for Low-Resource Neural Machine Translation
Tom Kocmi and Ondřej Bojar. 2018 · 2018
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Phrase-Based & Neural Unsupervised Machine Translation
Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2018b · 2018
Later among the works it cites.
Rapid Adaptation of Neural Machine Translation to New Languages
Graham Neubig and Junjie Hu. 2018 · 2018
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Improving Lexical Choice in Neural Machine Translation
Toan Nguyen and David Chiang. 2018 · 2018
Later among the works it cites.
A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
Later among the works it cites.
On the limitations of unsupervised bilingual dictionary induction
Anders Søgaard, Sebastian Ruder, and Ivan Vulic. 2018 · 2018
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Pay less attention with lightweight and dynamic convolutions
Felix Wu, Angela Fan, Alexei Baevski, Yann Dauphin, and Michael Auli. 2019 · 2019
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