Back to corpus
research noteexperiment writeup candidatescore 30
When AI Can't See Your Language
In 1949, a man named Solomana Kante sat down in Kankan, Guinea, and did something that most linguists said was impossible.
Full HTML reader
Read the full artifact
Extracted abstract or opening context
In 1949, a man named Solomana Kante sat down in Kankan, Guinea, and did something that most linguists said was impossible.
Not borrowed, not adapted from something else. Built from scratch, character by character, for the Manding languages of West Africa. He did it because someone had made a public claim that African languages were inherently unsuitable for writing. Kante, who was self-taught and spoke seven languages, took that as a challenge.
He spent years studying the sounds of Bambara, Maninka, and Dioula. He listened to how the languages actually worked. And then he built a writing system perfectly calibrated to them.
Every sound gets exactly one character. Every character represents exactly one sound. Tones are written out. No exceptions, no weird spelling rules, no silent letters. If you know the script, you know how to pronounce any word. If you can pronounce a word, you can write it.
The script has over 40 million speakers today. It's used for education, trade, religious texts, personal letters, and signs across Guinea, Mali, Cote d'Ivoire, Senegal, Burkina Faso, and diaspora communities worldwide.
Promotion decision
What has to happen next
Attach run IDs, datasets, metrics, and reproduction commands.
Why this is not always a full paper yet
Corpus pages are public-safe readers for discovered workspace artifacts. They are not automatically final papers. A corpus item becomes a polished paper only after the editable source, evidence checkpoints, references, figures, render path, and release status are attached through the paper schema.