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Interactive Text Simplification with Complexity Visualization


Geneve Purayil

07/05/2026

Supervised by Alexia Zoumpoulaki; Moderated by Jing Wu

This project would develop a system that simplifies complex text while showing users what changes are being made and why. The system would identify different types of complexity in text (difficult words, complex sentences, abstract concepts) and allow users to control how much simplification they want. A key innovation would be visual feedback showing which parts of the text are complex and how they're being simplified. Users could see color-coded complexity maps and track transformations step-by-step. Applications include educational platforms, tools for people with cognitive disabilities, and systems for making legal or medical documents more accessible to the general public.


Initial Plan (01/02/2026) [Zip Archive]

Final Report (07/05/2026) [Zip Archive]

Publication Form