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The Script That Machines Can't Read
*How an 8-billion-parameter AI reveals the cost of digital language exclusion, and how 290,000 speech samples prove the fix was designed in 1949*
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*How an 8-billion-parameter AI reveals the cost of digital language exclusion, and how 290,000 speech samples prove the fix was designed in 1949*
In 1949, in the city of Kankan, Guinea, a self-taught linguist named Solomana Kante did something extraordinary. Frustrated by a claim he'd read, that African languages were inherently unsuitable for writing, he sat down and designed a writing system from scratch.
Kante was a speaker of Manding, a family of closely related languages spoken by over 40 million people across West Africa. Bambara in Mali, Maninka in Guinea, Dioula in Cote d'Ivoire, Mandinka in The Gambia. These languages had been written in Arabic script (called Ajami) for centuries, and in Latin script since colonization. But neither system was designed for them. Arabic doesn't capture Manding's vowel distinctions. Latin doesn't encode its tonal system. Both force the language into a container that doesn't quite fit.
Kante wanted something precise. Something built from the ground up for how Manding languages actually work.
What he created was N'Ko (ߒߞߏ), which literally means "I say" in all Manding languages. The name itself is a statement: this script belongs to the people who speak these languages.
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