Meta introduced the NLLB-200 artificial intelligence model for online transfers. The algorithm supports 200 languages, including less common ones.
🆕🆕🆕❗️NLLB-200 Model, Evaluation Dataset, and Paper, with improved translation quality for over 200 languages. Help advance AI translation for low-resource languages.
📃Papers: https://t.co/8TWbAbVOfu
⚙️Model: https://t.co/9m9m2VKizB
🛤️Benchmark: https://t.co/mxSuPv2Ey2 pic.twitter.com/wgzQlOBerY— MetaAI (@MetaAI) July 6, 2022
The NLLB-200 delivered “high quality” translations in 55 African languages, the company said. Prior to the creation of the algorithm, fewer than 25 African languages were covered by widely used tools, the developers added.
Meta claims that the performance of the NLLB-200 in the FLORES-101 test outperformed existing current models by an average of 44%. For some African and Indian dialects, the advantage over analogues has reached 70%.
Meta said that their development will improve the quality of translation of texts on Facebook and Instagram platforms, as well as third-party services like Wikipedia.
The company has provided access to the NLLB-200 source code on GitHub. The developers have created websitedemonstrating the operation of the new model.
Meta also announced a $200,000 grant program open to non-profit organizations that want to explore ways to apply the NLLB-200 in the real world.
Recall that in June, Meta announced the reorganization of the AI division.
In April, the company introduced the open source OPT-175B language model.
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