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\u00a0<\/strong><\/em>Article originally published on: <\/p>\n Today, AI translation technology still has rough edges on the surface when you hit that \u201ctranslate this\u201d function on Facebook or Instagram feeds, but Meta\u2019s unveiling of its\u00a0No Language Left Behind<\/strong><\/a>\u00a0initiative (NLLB-200) aims to bridge that gap and \u201cgive people the opportunity to access and share web content\u201d in 202 different languages.<\/p>\n Everyone on the internet can now access Meta\u2019s NLLB-200\u00a0open-source code<\/a>\u00a0and toolkit enabling the research community to build various applications (written in Python) and improve the quality of low-resource languages like Asturian, Luganda, Urdu, and more. Meta says this initiative \u201cwill improve the quality of translations across its technologies by an average of 44% with that number jumping to 70%\u201d \u2013 a benchmark determined by its proprietary\u00a0BLEU<\/a>\u00a0metrics.<\/p>\n Quoting from\u00a0Meta\u2019s AI video<\/a> Jean Maillard said, \u201cLanguage is the key to inclusion. If you don\u2019t understand what people are saying or writing, you can be left behind.\u201d No Language Left Behind gave birth to Meta\u2019s improved AI model with 55 African languages compared to other translation tools supporting only less than 25. To assess the quality of the NLLB-200 model, Meta also shared their open source evaluative dataset FLORES-200<\/strong> along with the training model code.<\/p>\n Nonprofit organizations and researchers that want to use NLLB-200 for their meaningful and high-impact projects can be eligible for Meta\u2019s grants of up to $200,000. Projects related to \u201csustainability, food security, or education\u201d are a few examples of the impactful entries that can apply for the grant. The company is specifically encouraging projects with a key focus on translating two or more African languages<\/a>.<\/p>\n Furthermore, \u201cMeta has begun a partnership with the Wikimedia Foundation to improve translations on Wikipedia by using NLLB-200 as its back end content translation tool,\u201d says the article. \u201cThis is going to change the way that people live their lives \u2026 the way they do business, the way that they are educated. No language left behind really keeps that mission at the heart of what we do, as people,\u201d said Al Youngblood, user researcher at Meta AI in a video.<\/p>\n
\n<\/em>\u00a0<\/em>https:\/\/www.datanami.com\/2022\/07\/08\/meta-releases-ai-model-that-translates-over-200-languages\/<\/em><\/a>\u00a0<\/em><\/p>\n