MMS: Meta's AI project recognizes more than 4 thousand languages ​​from around the world

• O project Open source recognizes over 4000 spoken languages ​​and produces text in over 1100 languages.
• Using audio recordings of religious texts, Meta collects data to train MMS.
• MMS uses the wav2vec 2.0 model (a self-supervised speech representation learning model) to achieve significant results in speech recognition.

• Meta recognizes that the model is not perfect and may result in translation errors.
• The company emphasizes the importance of responsible development of AI technologies.
• Meta's intention by launching MMS as an open source project is to reverse the disappearance of languages.
• The model was publicly disclosed to encourage research in the community.
• The goal is to enable people to speak and learn in their native languages ​​with the help of technology.
• In this way, it is possible to keep languages ​​alive and promote linguistic inclusion through technology.

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