Imagine trying to vote or give feedback on a law, but the document reads like a complex legal textbook. This project builds a smart translator that turns dense, jargon-heavy official text into simple, easy-to-read language. It's like having a digital bridge that helps people with learning or language barriers finally join the conversation.
Complex language used by institutions excludes millions of people with cognitive or language disabilities from participating in digital democratic processes.
Multilingual AI models that detect comprehension barriers and automatically simplify complex texts into accessible formats.
If you are a digital government service provider dealing with low citizen engagement in public consultations — this project developed AI tools for text simplification that allow 6 million EU citizens with comprehension difficulties to participate.
If you are an accessibility software developer dealing with the lack of automated tools for intellectual disabilities — this project developed multilingual models that detect understanding problems and adapt texts to be unbiased and accessible.
If you are a legal document automation firm dealing with complex policy language that excludes vulnerable groups — this project developed controllable generation of messages to make legal and democratic discourse easier to comprehend.
Based on available project data, no pricing or cost information is provided as this is a Horizon-RIA research project.
The project aims to implement state-of-the-art NLP technology and pilot the solution with real users, suggesting a path toward industrial scaling for digital platforms.
Based on available project data, specific licensing terms are not mentioned, though it involves a consortium of 12 partners including 3 SMEs.
The project period is from 2024-01-01 to 2026-12-31, with piloting and evaluation planned within this window.
The project focuses on creating AI tools for detecting understanding problems and automatically adapting texts, which can be integrated into civic platforms and the Web.
The consortium is well-balanced for technology transfer, consisting of 12 partners across 7 countries. With a 25% industry ratio (3 companies, including 3 SMEs), there is a clear bridge between the academic research led by Universidad Pompeu Fabra and commercial application.
Contact Universidad Pompeu Fabra regarding the iDEM project
Contact us to connect with the iDEM consortium for NLP accessibility licensing.
