Dubbed M2M-100, Facebook claims that it is the first multilingual machine translation model (MMT) that can directly translate back and forth between any pair out of a set of 100 languages.

As well as that, the metadata of the dataset that was used to train the translation model, called SeamlessAlign, is also being publicly released. This consists of “270,000 hours of mined speech ...

SeamlessM4T is something of a spiritual successor to Meta’s No Language Left Behind, a text-to-text machine translation model, and Universal Speech Translator, one of the few direct speech-to ...

Z-code Mixture of Experts. Powering Translator’s upgrades is Z-code, a part of Microsoft’s larger XYZ-code initiative to combine AI models for text, vision, audio, and language to create ...

The model, called No Language Left Behind, supports dozens more text-based languages than Google Translate, which currently works for 133, and Microsoft Translator, which caters for 110. The AI ...

Meta's new AI model can translate 200 different languages and enable 25 billion translations across its apps thanks to 'one of world's fastest AI supercomputers,' CEO Mark Zuckerberg announces.

In their blog post, Meta's research team notes that SeamlessM4T "significantly improve[s] performance for the low and mid-resource languages we support," while maintaining "strong performance on ...

Meta has taken another step towards creating a universal language translator.. The company has open-sourced an AI model that translates over 200 languages — many of which aren’t supported by ...

Unbabel tested its AI model, which it calls TowerLLM, against GPT-4o and the original GPT-4, as well as OpenAI's GPT-3.5 and competing models from Google and the language translation company DeepL.

In its quest to develop AI that can understand a range of different dialects, Meta has created an AI model, SeamlessM4T, that can translate and transcribe close to 100 languages across text and ...