We test our own correction engine and various outside AI models against Indonesian and regional languages, then publish the numbers as they are. On this page, we sum up each finding in a single picture. The full method and raw data are one click away on every card.
2 findings
Wikipedia's edit history looks like a ready-made source of spelling corrections. Of the 744 we mined, only 43 were genuinely fit to become test items. The rest weren't real corrections.
We looked for words Indonesians use often that are absent from our dictionary. We found 3,289 candidate new words, but once checked closely, only 899 genuinely qualified. The rest were brand names, place names, or words barely used at all.