Virtual information session for Georgetown’s 2-year Master’s in Computational Linguistics! Learn about our courses in NLP, psycholinguistics, low-resource languages, digital humanities, and LLMs, plus phonology, syntax, & semantics. DM for registration link. Friday Nov. 21 | 10–11 AM #linguistics
Ethan Gotlieb Wilcox
@wegotlieb.bsky.social
Assistant Professor of Computational Linguistics @ Georgetown; formerly postdoc @ ETH Zurich; PhD @ Harvard Linguistics, affiliated with MIT Brain & Cog Sci. Language, Computers, Cognition.
New work to appear @ TACL! Language models (LMs) are remarkably good at generating novel well-formed sentences, leading to claims that they have mastered grammar. Yet they often assign higher probability to ungrammatical strings than to grammatical strings. How can both things be true? 🧵👇
I will be recruiting PhD students via Georgetown Linguistics this application cycle! Come join us in the PICoL (pronounced “pickle”) lab. We focus on psycholinguistics and cognitive modeling using LLMs. See the linked flyer for more details: bit.ly/3L3vcyA
🌟🌟This paper will appear at ACL 2025 (@aclmeeting.bsky.social)! New updated version is on arXiv: arxiv.org/pdf/2505.07659 🌟🌟
arxiv.org
⭐🗣️New preprint out: 🗣️⭐ “Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent” with @cuiding.bsky.social , Giovanni Acampa, @tpimentel.bsky.social , @alexwarstadt.bsky.social ,Tamar Regev: arxiv.org/abs/2505.07659
A key hypothesis in the history of linguistics is that different constructions share underlying structure. We take advantage of recent advances in mechanistic interpretability to test this hypothesis in Language Models. New work with @kmahowald.bsky.social and @cgpotts.bsky.social! 🧵👇!
⭐🗣️New preprint out: 🗣️⭐ “Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent” with @cuiding.bsky.social , Giovanni Acampa, @tpimentel.bsky.social , @alexwarstadt.bsky.social ,Tamar Regev: arxiv.org/abs/2505.07659
Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent
This paper argues that the relationship between lexical identity and prosody -- one well-studied parameter of linguistic variation -- can be characterized using information theory. We predict that lan...
arxiv.org
📣Paper Update 📣It’s bigger! It’s better! Even if the language models aren’t. 🤖New version of “Bigger is not always Better: The importance of human-scale language modeling for psycholinguistics” osf.io/preprints/ps...
OSF
osf.io
Excited to share our preprint "Using MoTR to probe agreement errors in Russian"! w/ Metehan Oğuz, @wegotlieb.bsky.social, Zuzanna Fuchs Link: osf.io/preprints/ps... 1- We provide moderate evidence that processing of agreement errors is modulated by agreement type (internal vs external agr.)
OSF
osf.io
Me and @wegotlieb.bsky.social were recently invited to write a wide-ranging reflection on the current state of linguistic theory and methodology. A draft is up here. For anyone interested in thinking big about linguistics, we'd be happy to hear your thoughts! arxiv.org/abs/2502.18313 #linguistics
Looking forward: Linguistic theory and methods
This chapter examines current developments in linguistic theory and methods, focusing on the increasing integration of computational, cognitive, and evolutionary perspectives. We highlight four major ...
arxiv.org
📣 New Paper ⚖️🧑⚖️🏛️ Large Language Models for Legal Interpretation? Don't Take Their Word for It 👩⚖️🏛️⚖️ with @bwal.bsky.social , @complingy.bsky.social Amir Zeldes, and @kevintobia.bsky.social papers.ssrn.com/sol3/papers....
Large Language Models for Legal Interpretation? Don't Take Their Word for It
<p><span>Recent breakthroughs in statistical language modeling have impacted countless domains, including the law. Chatbot applications such as ChatGPT, Claude,
papers.ssrn.com