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Back Translation (BT) is widely used in the field of machine translation, as it has been proved effective for enhancing translation quality.
Semi-supervised learning for neural machine translation
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(meta-) evaluation of machine translation
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Improving neural machine translation models with monolingual data
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, and Zbigniew Wojna. 2016 · 2016
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Yonghui Wu and Mike Schuster et.al. 2016 · 2016
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Exploiting source-side monolingual data in neural machine translation
Jiajun Zhang and Chengqing Zong. 2016 · 2016
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Exploiting monolingual data at scale for neural machine translation
Lijun Wu, Yiren Wang, Yingce Xia, Tao Qin, Jianhuang Lai, and Tie-Yan Liu. 2019 · 2019
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Revisiting self-training for neural sequence generation
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COMET: A neural framework for MT evaluation
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Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, and Tie-Yan Liu. 2017 · 2017
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Understanding back-translation at scale
Sergey Edunov, Myle Ott, Michael Auli, and David Grangier. 2018 · 2018
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Style transfer in text: Exploration and evaluation
Zhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, and Rui Yan. 2018 · 2018
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A call for clarity in reporting BLEU scores
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Unsupervised text style transfer using language models as discriminators
Zichao Yang, Zhiting Hu, Chris Dyer, Eric P Xing, and Taylor Berg-Kirkpatrick. 2018 · 2018
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Domain, translationese and noise in synthetic data for neural machine translation
Nikolay Bogoychev and Rico Sennrich. 2019 · 2019
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Tagged back-translation
Isaac Caswell, Ciprian Chelba, and David Grangier. 2019 · 2019
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Ricardo Rei, Craig Stewart, Ana C Farinha, and Alon Lavie. 2020a · 2020
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Comet: A neural framework for mt evaluation
Ricardo Rei, Craig Stewart, Ana C Farinha, and Alon Lavie. 2020b · 2020
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Translationese as a language in “multilingual” NMT
Parker Riley, Isaac Caswell, Markus Freitag, and David Grangier. 2020 · 2020
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Bleurt: Learning robust metrics for text generation
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Meta back-translation
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Two parents, one child: Dual transfer for low-resource neural machine translation
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The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation
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Deep Learning for Text Style Transfer: A Survey
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Automatic discrimination of human and neural machine translation: A study with multiple pre-trained models and longer context
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