Proceedings of the 12th International Conference on Natural Language Generation 2019
DOI: 10.18653/v1/w19-8626
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Detecting Machine-Translated Text using Back Translation

Abstract: Machine-translated text plays a crucial role in the communication of people using different languages. However, adversaries can use such text for malicious purposes such as plagiarism and fake review. The existing methods detected a machine-translated text only using the text's intrinsic content, but they are unsuitable for classifying the machine-translated and human-written texts with the same meanings. We have proposed a method to extract features used to distinguish machine/human text based on the similari… Show more

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