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Back-translation is an effective strategy to improve the performance of Neural Machine Translation~(NMT) by generating pseudo-parallel data.
Learning to control fast-weight memories: An alternative to dynamic recurrent networks
Jurgen Schmidhuber · 1992
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J. Williams · 1992
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Bleu: a method for automatic evaluation of machine translation
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Better hypothesis testing for statistical machine translation: Controlling for optimizer instability
Jonathan Clark, Chris Dyer, Alon Lavie, and Noah Smith · 2011
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Ilya Sutskever, Oriol Vinyals, and Quoc V. Le · 2014
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On using monolingual corpora in neural machine translation
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Semi-supervised learning for neural machine translation
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Improving neural machine translation models with monolingual data
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2016
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Copied monolingual data improves low-resource neural machine translation
Anna Currey, Antonio Valerio Miceli Barone, and Kenneth Heafield · 2017
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Model-agnostic meta-learning for fast adaptation of deep networks
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Understanding back-translation at scale
Sergey Edunov, Myle Ott, Michael Auli, and David Grangier · 2018
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Meta-learning for low-resource neural machine translation
Jiatao Gu, Yong Wang, Yun Chen, Victor O. K. Li, and Kyunghyun Cho · 2018
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DARTS: differentiable architecture search
Hanxiao Liu, Karen Simonyan, and Yiming Yang · 2019
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compare-mt: A tool for holistic comparison of language generation systems
Graham Neubig, Zi-Yi Dou, Junjie Hu, Paul Michel, Danish Pruthi, and Xinyi Wang · 2019
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Mass: Masked sequence to sequence pre-training for language generation
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu · 2019
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Generative teaching networks: Accelerating neural architecture search by learning to generate synthetic training data
Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, and Jeff Clune · 2019
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Target conditioned sampling: Optimizing data selection for multilingual neural machine translation
Xinyi Wang and Graham Neubig · 2019
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Iterative back-translation for neural machine translation
Vu Cong Duy Hoang, Philipp Koehn, Gholamreza Haffari, and Trevor Cohn · 2018
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Rapid adaptation of neural machine translation to new languages
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When and why are pre-trained word embeddings useful for neural machine translation?
Ye Qi, Devendra Singh Sachan, Matthieu Felix, Sarguna Padmanabhan, and Graham Neubig · 2018
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Choosing transfer languages for cross-lingual learning
Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, and Graham Neubig · 2019
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Optimizing data usage via differentiable rewards
Xinyi Wang, Hieu Pham, Paul Mitchel, Antonis Anastasopoulos, Jaime Carbonell, and Graham Neubig
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Multilingual neural machine translation with soft decoupled encoding
Xinyi Wang, Hieu Pham, Philip Arthur, and Graham Neubig · 2019
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Dynamic data selection and weighting for iterative back-translation
Zi-Yi Dou, Antonios Anastasopoulos, and Graham Neubig · 2020
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Revisiting self-training for neural sequence generation
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Meta pseudo labels
Hieu Pham, Qizhe Xie, Zihang Dai, and Quoc V. Le · 2020
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Selecting backtranslated data from multiple sources for improved neural machine translation
Xabier Soto, Dimitar Shterionov, Alberto Poncelas, and Andy Way · 2020
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