Scholarship

On the Way to Boundedness: From Givenness to Lexical Aspectual Classes; Presentation at Text Group @ University of Minnesota, March 29, 2024

Nature's Mirror: Conceptual Iconicity in Time in Language; Presentation at Text Group @ University of Minnesota, March 29, 2024

Linguistics - Why We Are All Experts; Presentation at Minnesota English Learner Education Conference, Saint Paul, 2025

Language in a nutshell & in context ; Summer Institute of the Literacy Action Network, MN 2025

Non-Prototypical Expressions for Time: The Semantics and Pragmatics of Unbounded Imperfective Grammatical Aspect with Bounded Accomplishment Lexical Aspect; The Annual Meeting of the Society for Text & Discourse, Padua, Italy, 2025

How Intelligent Are LLMs? On the Lack of Human-Like Understanding and Cognition in Large Language Models, Hamline University Faculty Development Workshop, Fall 2025

Processing of aspectual meanings by nonnative and native English speakers during narrative comprehension (2016)

Implicit Textually Enhanced Processing of Aspectual Meanings in English Learners with German as a First Language (2022)

How LLMs Comprehend Temporal Meaning in Narratives: A Case Study in Cognitive Evaluation of LLMs (2025)

Mary, the Cheeseburger-Eating Vegetarian: Do LLMs Recognize Incoherence in Narratives? (2026)

Intentional Explicit Meaning-Based Learning of Aspectual Meanings in English Learners with German as a First Language (Submitted)

Verb Boundedness Ratings and their Interaction with Grammatical Aspect (Ready for Submission)

Click here to find more information about my research at ResearchGate

COGBENCH Project (with Karin de Langis & Dongyeop Kang; Computer Science Department at University of Minnesota)

April 2024: Invitation to participate in a larger-scale benchmark project for Large Language Models (LLM) such as ChatGPT. Faculty and researchers from Computer Science, Psychology, Educational Psychology, Cognitive Science, Linguistics, and Communication will participate in the collection of a cognitive-behavior benchmark set of input-output data. The collected benchmarks will be very valuable for evaluating cognitive aspects of LLMs.

Givenness and Lexical Aspect Psycholinguistic Study (with Mike C. Mensink, UWI at Stout; Hannah Riddle, UMN)

Spring 2026: Psycholinguistic Study "Reading and Understanding Very Short Stories" 

March 2024: Presentation at the University of Minnesota’s interdisciplinary research TEXTGROUP about “On the Way to Boundedness: From Givenness to Lexical Aspectual Classes”.