In conventional approaches, developers trained AI using texts and their preexisting translations—after all, they had the requisite level of correspondence between one language and another. Yet this approach greatly limited the amount of training data as well as the types of text available: although government texts and bestselling books are frequently translated, periodicals, social media, websites, and other informal writings generally are not. Rather than restricting AIs to training on carefully translated texts, researchers simply supplied articles and other texts in various languages
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