A translator that works in dozens of languages is created by Meta Artificial Intelligence

Meta, in its paper on speech-to-speech translation2, said that a model for universal translation based on crowdsourced data can be used to translate text and video in languages up to 200. Meta collected over 4.5 million hours of multilingual spoken audio and aligned approximately 30,000 hours of speech pairs using the same technique to further train their model.