Open source model improves translation of rarer spoken languages by 70%
standard, Meta said NLLB-200 showed an average improvement of 44 percent over other state-of-the-art translation models. For some African and Indian languages, the improvement reportedly went as high as 70 percent.as an open-source model, Meta said it's also providing $200,000 in grants to nonprofits willing to research real-world applications for NLLB-200.
In addition, Meta has been working with the Wikimedia Foundation to use NLLB-200 as the back end of Wikipedia's Content Translation Tool. By including NLLB-200, the CTT added 10 languages that were unsupported by any other translation tool. As part of its open sourcing of NLLB-200, Meta is also releasing the new Flores-200 evaluation dataset it built for the project, seed training data, its 200-language toxicity list, its new LASER3 sentence encoder, the stopes data mining library, 3.3 billion and 1.3 billion parameter dense transformer models, 1.3 billion and 600 million parameter models distilled from NLLB-200 and NLLB-200 itself, which contains 54.5 billion parameters.
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