In an open source collaboration, Meta AI is enabling more inclusion through AI by improving the translations process on Wikipedia with the technology behind the NLLB-200 model. This will help its users access, and its editors create content in their preferred or native languages: https://bit.ly/3NSSuD2 | AI at Meta
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In an open source collaboration, Meta AI is enabling more inclusion through AI by improving the translations process on Wikipedia with the technology behind the NLLB-200 model. This will help its users access, and its editors create content in their preferred or native languages: https://bit.ly/3NSSuD2 | AI at Meta
1.2K viewsJul 11, 2022
FacebookAI at Meta
44% BLEU performance improvement over the previous state-of-the-art model. Meta AI’s NLLB-200 model translates across 200 languages with state-of-the-art quality. Its newest evaluation dataset, FLORES-200, measured and confirmed this with the quality of translations exceeding the previous SOTA by an average of 44 percent. Read more about the high translation quality of the NLLB-200: https://bit.ly/3zcjLuJ | AI at Meta
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44% BLEU performance improvement over the previous state-of-the-art model. Meta AI’s NLLB-200 model translates across 200 languages with state-of-the-art quality. Its newest evaluation dataset, FLORES-200, measured and confirmed this with the quality of translations exceeding the previous SOTA by an average of 44 percent. Read more about the high translation quality of the NLLB-200: https://bit.ly/3zcjLuJ | AI at Meta
1.5K viewsJul 27, 2022
FacebookAI at Meta
How do we know if our model’s translations meet quality standards for all languages? Breadth of coverage and depth of evaluation. Meta AI researchers have extended 2x the state-of-the-art coverage of FLORES to now cover over 200 languages. With this, and our automatic metric and human evaluation support, we’re able to quantify the quality of our translations. And NLLB-200’s BLEU score improves on the previous state-of-the-art by an average of 44% across all 10k directions of the FLORES-101 bench
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How do we know if our model’s translations meet quality standards for all languages? Breadth of coverage and depth of evaluation. Meta AI researchers have extended 2x the state-of-the-art coverage of FLORES to now cover over 200 languages. With this, and our automatic metric and human evaluation support, we’re able to quantify the quality of our translations. And NLLB-200’s BLEU score improves on the previous state-of-the-art by an average of 44% across all 10k directions of the FLORES-101 bench
883 viewsJul 8, 2022
FacebookAI at Meta
In our recent AMA about No Language Left Behind, our researchers were asked, what is the procedure to extend NLLB-200 to a new language? Do you have any experiments on incorporating a new low-resource language onto the final NLLB-200? ↩️: Typically, we extend NLLB-200 to new language pairs rather than a single new language. We finetune the model after gathering seed training data and a reliable test dataset of sentences translated for the new language pairs, if available. If we need more accurac
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In our recent AMA about No Language Left Behind, our researchers were asked, what is the procedure to extend NLLB-200 to a new language? Do you have any experiments on incorporating a new low-resource language onto the final NLLB-200? ↩️: Typically, we extend NLLB-200 to new language pairs rather than a single new language. We finetune the model after gathering seed training data and a reliable test dataset of sentences translated for the new language pairs, if available. If we need more accurac
1K viewsAug 4, 2022
FacebookAI at Meta
META AI AMA! Ask our researchers about their latest No Language Left Behind research breakthrough & milestone: The NLLB-200 model, now supporting 200 languages. Save the date! 🌎 r/machinelearning 🗓️ July 21, 2022 🕘 9am PDT What ?s will you ask? https://bit.ly/3AZfr4P | AI at Meta
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META AI AMA! Ask our researchers about their latest No Language Left Behind research breakthrough & milestone: The NLLB-200 model, now supporting 200 languages. Save the date! 🌎 r/machinelearning 🗓️ July 21, 2022 🕘 9am PDT What ?s will you ask? https://bit.ly/3AZfr4P | AI at Meta
1.1K viewsJul 18, 2022
FacebookAI at Meta
COVID-19 is making the lives of children with disabilities even more challenging. As we respond to the pandemic, we must ensure that the most vulnerable are not left behind. Let's reimagine a world where every child gets the love, support and opportunities they need to fulfill their potential. | UNICEF
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COVID-19 is making the lives of children with disabilities even more challenging. As we respond to the pandemic, we must ensure that the most vulnerable are not left behind. Let's reimagine a world where every child gets the love, support and opportunities they need to fulfill their potential. | UNICEF
4.9M viewsMay 22, 2020
FacebookUNICEF
Meta's NLLB-200 AI Translation Model is Capable of Translating 200 Languages in Real-Time
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