Ryuki Matsuura
Education
M.A., Engineering, Waseda UniversityB.A., International Liberal Studies, Waseda University
Bio
I am a Ph.D. student in the Applied Linguistics & Second Language Acquisition program at 一本道无码. My research interests lie in the effective assessment, feedback and learning assistance of L2 speech utilizing AI/ML techniques. More specifically, I have conducted research of automated scoring systems for L2 oral fluency. My master’s dissertation study aimed to automatize effective recasts and explored linguistic factors in dialogic responses which affect interlocutor’s comprehensibility focusing on lexical error types and rhetorical roles of utterances. In my Ph.D. study, I intend to develop and validate Computerized Dynamic Assessment (C-DA) systems for L2 productive knowledge and skills.
In addition, I am interested in expanding research methods in SLA using state-of-the-art AI technologies. I developed a system to automatically annotate the full range of oral fluency features (i.e., syllables, disfluency words and pause locations). I am open to collaborating with researchers worldwide by automatizing L2 data annotations and analyses.
Area of Interest
- L2 Speech
- Computer Assisted Language Learning
- Feedback
- Dynamic Assessment
Selected Awards and Honors
- Japan Society for the Promotion of Science Doctoral Course Research Fellowship (declined)
- Sponsorship Award of SIG-SLP (Spoken Language Processing), 2022
- Student Presentation Award, Acoustic Society of Japan, 2022
Selected Publications
Matsuura, R. & Suzuki, S. (2023). Prompt-independent Automated Scoring of L2 Oral Fluency by Capturing Prompt Effects. Proc. of Artificial Intelligence in Education (AIED). doi:
Matsuura, R., Suzuki, S., Saeki, M., Ogawa, T., & Matsuyama, Y. (2022). Refinement of Utterance Fluency Feature Extraction and Automated Scoring of L2 Oral Fluency with Dialogic Features. Proc. of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). 1312-1320. doi: