5 citations · 6 across the 5 of their papers we have counts for
5 papers
Speak & Improve Corpus 2025: an L2 English Speech Corpus for Language Assessment and Feedback
Kate Knill, Diane Nicholls, Mark J. F. Gales +2
We introduce the Speak & Improve Corpus 2025, a dataset of L2 learner English data with holistic scores and language error annotation, collected from open (spontaneous) speaking te…
Speak & Improve Challenge 2025: Tasks and Baseline Systems
Mengjie Qian, Kate Knill, Stefano Banno +4
This paper presents the "Speak & Improve Challenge 2025: Spoken Language Assessment and Feedback" -- a challenge associated with the ISCA SLaTE 2025 Workshop. The goal of the chall…
Grammatical Error Feedback: An Implicit Evaluation Approach
Stefano Bannò, Kate Knill, Mark J. F. Gales
Grammatical feedback is crucial for consolidating second language (L2) learning. Most research in computer-assisted language learning has focused on feedback through grammatical er…
Learn and Don't Forget: Adding a New Language to ASR Foundation Models
Mengjie Qian, Siyuan Tang, Rao Ma +2
Foundation ASR models often support many languages, e.g. 100 languages in Whisper. However, there has been limited work on integrating an additional, typically low-resource, langua…
Can GPT-4 do L2 analytic assessment?
Stefano Bannò, Hari Krishna Vydana, Kate M. Knill +1
Automated essay scoring (AES) to evaluate second language (L2) proficiency has been a firmly established technology used in educational contexts for decades. Although holistic scor…