I recently received a PhD from the Department of Linguistics at the University of Maryland, College Park, where I was co-advised by Naomi Feldman and Bill Idsardi. My research focus is in computational psycholinguistics: I am interested in the relationship between social knowledge and the perception of speech sounds.

Language learners must infer linguistic categories from acoustic and visual sensory data, but there is enormous variation in speech patterns found within speakers of a single language. How does knowledge of speaker identity shape the process of acquiring language?

In my doctoral work, I focus on word learning and the acquisition of phoneme categories, using computational modeling to demonstrate how processes categorizing speakers may explain infants' behavior on experimental tasks. In future work I plan to continue exploring the relationship between social cognition and speech perception, outlining benchmarks in the development of socio-phonetic knowledge.

I am currently a postdoctoral associate in Speech-Language-Hearing Sciences at the University of Minnesota, Twin Cities.

Before starting graduate school, I received a BA in Linguistics and a BS in Computer Science from the University of Maryland, College Park.

Selected Presentations and Publications

Tripp, A, Feldman N, & Idsardi W. (November 8, 2019). Are Infants Sensitive to Informant Reliability in Word Learning? Presented at the 44th Boston University Conference on Language Development (BUCLD). Boston University, Boston, MA [slides]

Tripp, A, Feldman N, & Idsardi W. (November 4, 2018). A Model of Informant Evaluation in Early Word Learning. Presented at the 12th Northeast Computational Phonology Circle (NECPhon). MIT, Boston, MA [slides]

Richardson, R., Feldman, N. & Idsardi, W. (2015). What defines a category? Evidence that listeners’ perception is governed by generalizations. In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings, & P. P. Maglio (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. [paper]