Anzi Wang

@anziw.bsky.social

linguistics phd student (she/they) https://anziw.github.io/

In 2016, I started working on my undergrad thesis where I was looking at ERP signatures for singular 'they'. In 2026, the work is finally published! www.frontiersin.org/journals/psy... Kudos to Joanna Morris for working on this the past few years and pushing it past the finish line!

Frontiers | Distinct ERP signatures for singular “they” and gender violations

IntroductionThe English pronoun system is undergoing rapid change, with singular “they” increasingly used to refer to specific individuals. A key question is...

frontiersin.org

New Preprint: osf.io/eq2ra Reading feels effortless, but it's actually quite complex under the hood. Most words are easy to process, but some words make us reread or linger. It turns out that LLMs can tell us about why, but only in certain cases... (1/n)

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? 🧵👇

Screenshot of a figure with two panels, labeled (a) and (b). The caption reads: "Figure 1: (a) Illustration of messages (left) and strings (right) in toy domain. Blue = grammatical strings. Red = ungrammatical strings. (b) Surprisal (negative log probability) assigned to toy strings by GPT-2."

I've found it kind of a pain to work with resources like VerbNet, FrameNet, PropBank (frame files), and WordNet using existing tools. Maybe you have too. Here's a little package that handles data management, loading, and cross-referencing via either a CLI or a python API.

GitHub - aaronstevenwhite/glazing: Unified data models and interfaces for syntactic and semantic frame ontologies.

Unified data models and interfaces for syntactic and semantic frame ontologies. - aaronstevenwhite/glazing

github.com

Someone asked me today how to get better at scientific writing. I'm not the best person to ask because I find my own writing very inadequate! But the tips I thought of were: 1. Practice, and practice with co-authors who are better writers than you. Observe how they make edits and copy them. (1/n)