activity
20242026
collaborators

11 papers

eess.AS2026

Data Augmentation for L2 English Speaking Assessment using TTS

Stefano Bannò, Penny Karanasou, Mengjie Qian +2

Automated assessment of second language (L2) speaking proficiency relies on large-scale annotated speech data, which remains scarce compared to widely available written learner cor…

cs.CL2026

Towards Self-Referential Analytic Assessment: A Profile-Based Approach to L2 Writing Evaluation with LLMs

Stefano Bannò, Kate Knill, Mark Gales

Automated essay scoring (AES) research often relies on rank-based correlation metrics to validate analytic assessment. However, such metrics obscure both intrinsic intercorrelation…

cs.CL2026

Exploiting the English Grammar Profile for L2 grammatical analysis with LLMs

Stefano Bannò, Penny Karanasou, Kate Knill +1

Evaluating the grammatical competence of second language (L2) learners is essential both for providing targeted feedback and for assessing proficiency. To achieve this, we propose…

cs.CL2026

Opportunities and Challenges of LLMs in Education: An NLP Perspective

Sowmya Vajjala, Bashar Alhafni, Stefano Bannò +2

Interest in the role of large language models (LLMs) in education is increasing, considering the new opportunities they offer for teaching, learning, and assessment. In this paper,…

cs.CL2025

Data Augmentation for Spoken Grammatical Error Correction

Penny Karanasou, Mengjie Qian, Stefano Bannò +2

While there exist strong benchmark datasets for grammatical error correction (GEC), high-quality annotated spoken datasets for Spoken GEC (SGEC) are still under-resourced. In this…

eess.AS2025

Natural Language-based Assessment of L2 Oral Proficiency using LLMs

Stefano Bannò, Rao Ma, Mengjie Qian +3

Natural language-based assessment (NLA) is an approach to second language assessment that uses instructions - expressed in the form of can-do descriptors - originally intended for…