AdvAug: Robust Adversarial Augmentation for Neural Machine Translation

ACL 2020 Yong ChengLu JiangWolfgang MachereyJacob Eisenstein

In this paper, we propose a new adversarial augmentation method for Neural Machine Translation (NMT). The main idea is to minimize the vicinal risk over virtual sentences sampled from two vicinity distributions, of which the crucial one is a novel vicinity distribution for adversarial sentences that describes a smooth interpolated embedding space centered around observed training sentence pairs... (read more)

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