Autumn 2025: LING 22500, LING 32500
Course Summary:
This course provides an introduction to how quantitative methods are used in the analysis of linguistic data. This will include a foundation in statistical methods that can be applied to experimental and psycholinguistic data, including probability theory, hypothesis testing, regression models and the use of Bayesian statistics. Further topics will include a brief introduction to the use of basic machine learning algorithms in linguistic research and techniques that can be used in the analysis of large linguistic datasets. The class will be grounded in case studies from a variety of subfields of linguistics and provide hands-on examples through a guided introduction to programming. This class is intended for students who are interested in jump-starting a path into linguistic data science and is designed to be accessible to those with no experience in data science or programming.
Perceptual Models Of Speech [Schedule] [Syllabus]
Fall 2021
When hearing speech, humans rapidly and robustly map from a continuous acoustic signal to an abstract representation of the sounds of their language. This seminar will explore models of this acoustic-phonetic perceptual mapping by drawing from a variety of methodologies and perspectives. We will discuss the merits and issues of linguistic, computational, and neuroscientific approaches and draw connections between these disciplines. A background in neuroscience or computational modeling is not required.
Phonology I, Fall 2019, Fall 2020, Spring 2021: Teaching Assistant. Instructor: Dr. Peggy Antonisse.
Introductory Linguistics, Spring 2020: Teaching Assistant/Discussion Section Leader. Instructor: Dr. Tonia Bleam.
PULSAR Undergraduate Research Seminar, Spring 2022, Fall 2022: Graduate Mentor. Instructors: Tess Wood, Andrea Zukowski
Language at the Museum: Engaging the Public in Language Science, Summer 2022 Graduate Mentor/Assistant. Instructor: Charlotte Vaughn
Undergraduate Research Assistant Mentorship
Fall 2021 - Present
Advisor to two Undergraduate Research Assistants on Two Different Projects. Assisting in advising one undergraduate honors thesis