3 papers
cs.CL2025
Towards Trustworthy Lexical Simplification: Exploring Safety and Efficiency with Small LLMs
Akio Hayakawa, Stefan Bott, Horacio Saggion
Despite their strong performance, large language models (LLMs) face challenges in real-world application of lexical simplification (LS), particularly in privacy-sensitive and resou…
cs.CL2025
UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment
Joseph Marvin Imperial, Abdullah Barayan, Regina Stodden +16
We introduce UniversalCEFR, a large-scale multilingual and multidimensional dataset of texts annotated with CEFR (Common European Framework of Reference) levels in 13 languages. To…
cs.CL2025
Lexical Complexity Prediction and Lexical Simplification for Catalan and Spanish: Resource Creation, Quality Assessment, and Ethical Considerations
Stefan Bott, Horacio Saggion, Nelson Peréz Rojas +2
Automatic lexical simplification is a task to substitute lexical items that may be unfamiliar and difficult to understand with easier and more common words. This paper presents the…