Researchers Propose New Way to Detect Machine Translation — Maybe Google Could Use It

Researchers Propose New Way to Detect Machine Translation — Maybe Google Could Use It

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Most machine translation (MT) may still need a human touch before being deemed usable in a professional context. But, even without it, it is becoming less easy to distinguish human writing from machine-generated text.

Yet these gains have one drawback: It is now easier for MT to be abused for malicious purposes, such as plagiarism and fake reviews.

Even Google is having trouble keeping up. In a 2018 Google Webmasters Hangouts session, Senior Webmaster Trends Analyst John Mueller told participants it was possible that some machine translated content had become fluent enough to fool Google’s own ranking algorithms.

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