It is possible for MetaAI to translate a speech into dozens of languages

Researchers have used a semi-Supervised Learning technique to train their text-to-text translation model. The team of researchers collected around 4.5 million hours of multilingual spoken audio before being pre- trained on the part of the model that is responsible for translation. They analysed whether the model over-represented one gender when translating gender-neutral phrases into gendered languages.