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Understanding the Effect of Textual Adversaries in Multimodal Machine Translation

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Figure

Table 1: The differences in Corpus-level Meteor scores for the English–German Multi30K Test 2017 data for thedifferent adversaries compared to the systems evaluated on the Original text and images
Table 3: The 95% confidence interval of the sentence-level perplexity of the original and each textual adver-sarial data samples, as estimated by GPT-2.
Figure 2: Examples of translations produced by the hierattnunderlined replacement. multimodal transaltion system

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