Google Research Brings ‘Massively Multilingual’ Machine Translation to 200+ Languages
Google’s January 2022 paper, Towards the Next 1,000 Languages in Multilingual Machine Translation, again takes up the cause of universal translation, addressing the challenge of scaling a massively multilingual model by training more parallel data.
Google’s January 2022 paper, Towards the Next 1,000 Languages in Multilingual Machine Translation, again takes up the cause of universal translation, addressing the challenge of scaling a massively multilingual model by training more parallel data.
challenge, cause, Google, parallel data, Next 1,000 Languages, January 2022 paper, universal translation, Multilingual Machine Translation, model
