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Linguists estimate that at least half of the world’s estimated 7,000 spoken languages will become extinct by the century’s end, due to forces ranging from globalization to cultural assimilation. Part of the challenge of documenting and revitalizing endangered languages is a lack of texts and speech recordings to work with. Seneca, a language of one Read article >
The post How Deep Learning Is Aiding Preservation of Seneca and Other Endangered Languages appeared first on The Official NVIDIA Blog.
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