István Üveges

Comparative Evaluation of Transformer-Based Models for Plain Language Classification in Hungarian Legal–Administrative Texts

The findings demonstrate that Plain Language classifiers can be effectively adapted to low-resource legal–administrative domains and support the development of real-time feedback tools that promote linguistic accessibility and contribute to the broader goal of Access to Justice.