Robust Neural Machine Translation with Doubly Adversarial Inputs
@inproceedings{Cheng2019RobustNM, title={Robust Neural Machine Translation with Doubly Adversarial Inputs}, author={Yong Cheng and Lu Jiang and Wolfgang Macherey}, booktitle={ACL}, year={2019} }
Neural machine translation (NMT) often suffers from the vulnerability to noisy perturbations in the input. [...] Key MethodFor the generation of adversarial inputs, we propose a gradient-based method to craft adversarial examples informed by the translation loss over the clean inputs.Experimental results on Chinese-English and English-German translation tasks demonstrate that our approach achieves significant improvements ($2.8$ and $1.6$ BLEU points) over Transformer on standard clean benchmarks as well as…Expand Abstract
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