EZUD AI Content Simplification and Plain Language
AI Content Simplification and Plain Language
Plain language is not dumbing down. It is making information clear to the widest possible audience on the first reading. The Plain Writing Act requires US federal agencies to use plain language in public-facing documents. WCAG 2.2 Success Criterion 3.1.5 recommends providing content at a lower secondary education reading level. Despite these standards, most digital content is written at a college level or above. AI tools can bridge this gap by automatically simplifying text while preserving meaning.
Why Plain Language Matters for Accessibility
Complex writing excludes:
- People with cognitive disabilities (intellectual disabilities, learning differences, acquired brain injuries)
- People with low literacy (approximately 21% of US adults read at or below a 5th-grade level, per NAAL data)
- Non-native speakers processing content in a second or third language
- Older adults experiencing cognitive decline
- Anyone under stress, distracted, or fatigued (which is everyone, sometimes)
Plain language benefits everyone. Studies consistently show that even highly educated readers prefer and process simplified text faster. It is not an accommodation for a minority; it is better communication for all.
How AI Simplification Works
Reading Level Analysis
AI tools assess text complexity using metrics like Flesch-Kincaid grade level, Gunning Fog Index, and SMOG Index. These automated assessments identify content that exceeds target reading levels.
Vocabulary Substitution
Language models replace complex words with common alternatives: “utilize” becomes “use,” “subsequently” becomes “then,” “remuneration” becomes “pay.” Models trained on plain language corpora make substitutions that preserve meaning while reducing complexity.
Sentence Restructuring
AI splits compound and complex sentences into shorter, simpler structures. Passive voice is converted to active. Embedded clauses are extracted into separate sentences. The result is text with shorter average sentence length and clearer subject-verb-object structure.
Information Restructuring
Beyond sentence-level changes, AI can reorganize content to lead with the most important information, add headings and bullet points, and remove tangential detail. This structural simplification often matters more than vocabulary changes.
Tools for Content Simplification
General-Purpose Language Models
ChatGPT, Claude, and Gemini can simplify text when prompted explicitly: “Rewrite this at a 6th-grade reading level using short sentences and common words.” Results vary but are generally effective for straightforward content.
Microsoft Immersive Reader
Built into Edge, Word, OneNote, and Teams, Immersive Reader provides text decoding support including syllable breakdown, part-of-speech highlighting, line focus, and text spacing adjustment. It does not rewrite content but makes existing text more processable.
Hemingway Editor
Hemingway Editor highlights complex sentences, passive voice, and difficult vocabulary, providing a readability grade. While not AI-powered in the traditional sense, it is a practical tool for manual simplification.
Rewordify
Rewordify automatically simplifies English text, replacing difficult words with easier alternatives and providing definitions. It is designed for educational contexts.
Quality Considerations
AI simplification introduces specific risks:
- Meaning distortion. Simplifying legal, medical, or technical text can change its meaning. “You may experience adverse effects” simplified to “You might feel sick” loses important precision.
- Cultural flattening. Replacing culturally specific references with generic language can erase context important to specific communities.
- Patronizing tone. Over-simplified text can feel condescending. The goal is clarity, not childishness.
- Loss of nuance. Some concepts require complex expression. Forced simplification may misrepresent ambiguity, uncertainty, or conditional relationships.
The solution: use AI simplification as a first pass, then have a human reviewer verify that meaning is preserved, particularly for high-stakes content.
For AI-powered reading adaptation, see AI personalized reading level adaptation. For document-specific approaches, read AI document summarization for cognitive accessibility.
Key Takeaways
- Plain language is a universal accessibility improvement that benefits all readers, not just those with disabilities.
- AI simplification tools can reduce reading level through vocabulary substitution, sentence restructuring, and content reorganization.
- General-purpose language models produce effective simplification when prompted with specific reading level targets.
- The primary risk is meaning distortion: simplification of medical, legal, and technical content requires human verification.
- The most effective approach combines automated simplification with human review and testing with the target audience.
Sources
- Plain Language Action and Information Network — US federal plain language law and resources: https://www.plainlanguage.gov/law/
- WCAG 2.2 Success Criterion 3.1.5 — reading level: https://www.w3.org/WAI/WCAG22/Understanding/reading-level.html
- W3C Cognitive Accessibility Guidance: https://www.w3.org/WAI/cognitive/
- National Center for Education Statistics — adult literacy data: https://nces.ed.gov/surveys/piaac/