Adam A. Bramlett
Bio
I am a Ph.D. student in the department of Modern Languages at Carnegie Mellon University. I am an active member of the Language Processing and Pedagogy Lab and the Chinese program. My research interests are primarily in non-native speech perception, statistical learning, and category learning. Most of my work is centered around Chinese Languages and artificial languages. My research uses methods from experimental psycholinguistics, data science, and computational linguistics. My research was or will be presented in Error Driven learning in Language (EDLL), Speech Prosody (SP), The American Council on the Teaching of Foreign Languages (ACTFL), and the Acoustic Society of America (ASA), and Architectures and Mechanisms Underlying Language Processing (AMLap).
Areas of Interest
- Non-native speech perception
- Chinese languages and dialects
- Statistical learning
- Category learning
- Open science
- Data analytics
Selected Publications
- Bramlett, A. & Wiener, S. (2022). jTRACE modeling of L2 Mandarin learners’ spoken word recognition at two time points in learning. Proc. 11th International Conference on Speech Prosody, (pp. 773-776).