一本道无码

一本道无码
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Adam Bramlett

Adam A. Bramlett

Education

Ph.D. course work, Linguistics, University of Kansas
M.A., Second Language Studies, University of Hawaiʻi at Mānoa
B.A., Chinese Language and Linguistics, University of Hawaiʻi at Mānoa

Bio

Adam A. Bramlett is a Ph.D. student in the Second Language Acquisition & Applied Linguistics program at 一本道无码, where he is an active member of both the Language Processing and Pedagogy Lab and the Chinese program. His research investigates the complex processes underlying non-native speech perception, lexical development and learning theory; focusing on how learners process and acquire speech sounds and words.

Bramlett's research integrates experimental psycholinguistics with theory-driven computational modeling to better understand how language learners process speech. In this approach, experiments provide real-world data that inform and refine computational models, while the predictions made by these models shape theory and the design of new experiments. This iterative feedback loop allows Bramlett to continuously test and update the models, deepening our understanding of the cognitive mechanisms involved in second language acquisition. By combining experimental and computational methods, his work explores how learners' exposure to language input shapes their ability to recognize, categorize and learn speech sounds, while advancing models that capture these processes in a computational framework. If you are interested in his work feel free to contact him.

  • Non-native speech perception and language learning
  • Statistical, error-driven and reinforcement learning in second language acquisition
  • Computational cognitive modeling and theory-driven simulations
  • Category learning in speech sounds, especially tonal languages
  • Chinese languages and dialects, including Mandarin, Cantonese, Shanghainese and Southern Min
  • Experimental psycholinguistics and data-driven research methods
  • Open science, reproducibility and flexible data architectures
  • Reinforcement learning in language learning environments

  • A. A. Bramlett and S. Wiener, “Individual differences modulate predictive lexical stress processing in Italian: A close replication and LASSO extension of Sulpizio and McQueen (2012),” Cultural Cognitive Science, vol. 1, e2205v1, 2025. 

  • A. A. Bramlett and S. Wiener, “The art of wrangling: Best practices for reporting web-based eye-tracking data in language research,” Linguistic Approaches to Bilingualism, vol. 1, e2205v1, 2024. .

  • V. Kapatsinski, A. A. Bramlett, and K. Idemaru, “What do you learn from a single cue? Dimensional reweighting and cue reassociation from experience with a newly unreliable phonetic cue,” Cognition, vol. 1, e2205v1, 2024.

  • A. A. Bramlett, B. Brown, J. Dueck, and S. Wiener, “Measuring music and prosody: Accounting for variation in non-native speech discrimination with working memory, specialized music skills, and music background,” in Proc. Speech Prosody 2024, 2024, pp. 773–776.

  • A. A. Bramlett and S. Wiener, “Switching between phonological biases is not free: Evidence from a multilingual reconstruction task,” in Proceedings of the International Congress of Phonetic Sciences, vol. 1, 2023.

  • A. A. Bramlett and S. Wiener, “jTrace modeling of L2 Mandarin learners’ spoken word recognition at two time points in learning,” in Proc. Speech Prosody 2022, 2022, pp. 773–776.

Department Member Since 2022