2 papers
cs.CL2026
Towards interpretable models for language proficiency assessment: Predicting the CEFR level of Estonian learner texts
Kais Allkivi
Using NLP to analyze authentic learner language helps to build automated assessment and feedback tools. It also offers new and extensive insights into the development of second lan…
cs.CL2026
Machine-Assisted Grading of Nationwide School-Leaving Essay Exams with LLMs and Statistical NLP
Andres Karjus, Kais Allkivi, Silvia Maine +3
Large language models (LLMs) enable rapid and consistent automated evaluation of open-ended exam responses, including dimensions of content and argumentation that have traditionall…