Robust Multilingual Text-to-Pictogram Mapping for Scalable Reading Rehabilitation

ArXi:2603.24536v1 Announce Type: new Reading comprehension presents a significant challenge for children with Special Educational Needs and Disabilities (SEND), often requiring intensive one-on-one reading. To assist therapists in scaling this, we developed a multilingual, AI-powered interface that automatically enhances text with visual scaffolding. This system dynamically identifies key concepts and maps them to contextually relevant pictograms, ing learners across languages.