Readability scoring algorithms measure factors like sentence length, word complexity, and paragraph structure to identify where text becomes difficult to follow, then suggest plain-language alternatives. For people with cognitive disabilities, dyslexia, or non-native speakers, this transforms dense writing into something actually comprehensible.
Readability scoring measures how easy a piece of text is to read and understand, using formulas like Flesch-Kincaid or SMOG, while plain language AI tools automatically rewrite complex content into simpler, more accessible versions.
For people with cognitive disabilities, learning differences, or low literacy levels, AI-powered plain language conversion removes barriers to understanding legal documents, medical instructions, and government forms that would otherwise require professional assistance.
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