Congratulations to Marta Cozzini, whi presented "Segmenting Italian Sentences for Easy Reading" paper at Clic-it 25 Cagliari, Italy

Abstract Easy Read texts are essential for individuals with reading difficulties. These texts are developed according to institutional guidelines that establish clear rules for writing and structuring content in an accessible way. A key feature of Easy Read texts is the segmentation of sentences into smaller grammatical units, often presented on separate lines, to enhance readability. While several studies have addressed content simplification in easy-to-read materials, much less attention has been paid to the automatic segmentation of such texts. This project investigates whether this kind of segmentation can be automated in a reliable and efficient way, even with limited resources. The main goal is to develop and evaluate automatic methods for splitting texts into simpler, shorter units to support text simplification and improve overall readability. The methods developed and evaluated are a decision tree classifier and a prompting-based method using a large language model (LLM). The work is focused on Italian, and the application of these methodologies to this language represents a novel contribution. Keywords Text simplification, easy-to-read, automatic segmentation, ER resources, CLiC-it

Full paper now in pre-print

https://clic2025.unica.it/wp-content/uploads/2025/09/31_main_long.pdf