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Small perturbations in the input can severely distort intermediate representations and thus impact translation quality of neural machine translation (NMT) models.
BLEU: a methof for automatic evaluation of machine translation
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Minh-Thang Luong, Hieu Pham, and Christopher D Manning. 2015 · 2015
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Alec Radford, Luke Metz, and Soumith Chintala. 2015 · 2015
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Deep neural machine translation with linear associative unit
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Maximum expected likelihood estimation for zero-resource neural machine translation
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Unsupervised neural machine translation
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Jiajun Zhang and Chengqing Zong. 2016 · 2016
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Improving the robustness of deep neural networks via stability training
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A teacher-student framework for zero-resource neural machine translation
Yun Chen, Yang Liu, Yong Cheng, and Victor OK Li. 2017 · 2017
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Joint training for pivot-based neural machine translation
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Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N Dauphin. 2017 · 2017
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