In a sense, the algorithm is “foundational,” in that “it can be fine-tuned on carefully curated datasets for specific purposes—such as improving translation quality for certain language pairs or for ...

But most models work only for text, or use text as an intermediate step in speech-to-speech translation, and many focus on a small subset of the world’s languages. The SEAMLESS authors devised ...

The Massively Multilingual and Multimodal Machine Translation (SEAMLESSM4T) system can also translate speech to text, text to speech and text to text. The results are described in Nature on 15 ...