My main research community is natural language processing (NLP), which lies at the intersection of computational linguistics and AI. NLP research is organized through the Association for Computational Linguistics and sister organizations, and is mostly published in the ACL Anthology.
I study human language and computation. My research asks: How do people conceptually and linguistically organize meanings in their languages, and how does this organization manifest in usage data and AI models?
This includes work with LLMs; corpora; and analytical frameworks like CCG, CGELBank, UD (for syntax), and AMR, FrameNet, SNACS, UCCA (for semantics).
Recent research highlights (2024/2025):
- Linguistic interpretation of transformer language models
- Corpora and language learning
- Crosslinguistic syntax/semantics
- Multilinguality in NLP systems
- Legal interpretation
- Unmasking textualism: Linguistic misunderstanding in the transit mask order case and beyond
- CuRIAM: Corpus Re Interpretation and Metalanguage in U.S. Supreme Court opinions
- Reading law with linguistics: The statutory interpretation of artifact nouns; Brief for Professors and Scholars of Linguistics and Law as Amici Curiae in Support of Petitioners, Garland v. VanDerStok (news writeup: How Georgetown Linguists, Legal Expert Scored a Win in Supreme Court โGhost Gunsโ Case)
- Large language models for legal interpretation? Don't take their word for it; Not ready for the bench: LLM legal interpretation is unstable and out of step with human judgments
An extended research overview covers highlights of my published research to May 2022. (There is a brief research overview from 2016.)
For further details, refer to my recent publications or reach out to students in my lab.