The No Language Left Behind (NLLB) project, led by Meta, aims to make Facebook and Instagram posts more accessible in 200 lesser-spoken languages worldwide. The project has successfully scaled its original technology, including languages like Scottish Gaelic and Bosnian. However, experts suggest that Meta should consult with native speakers and language specialists to further improve the tool. Meta trains its AI using data from the Opus repository and combines it with mined data from sources like Wikipedia.
The accuracy of translations has improved by 44% since the first model was released in 2020. Despite the progress made, some experts question the accuracy and quality of translations, recommending that Meta collaborate with organizations like the BBC for better language preservation. Linguists and technical specialists agree that refining data sets and working together is crucial. While some believe users should give Meta translations a chance to encourage improvement, others caution against relying on the tools due to potential errors.
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SAN FRANCISCO, Jan.
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