Liberal Arts and Sciences
Computational Linguistics Lab
Led by Zoey Liu · Linguistics
What we study
The Computational Linguistics Lab studies how languages and machines learn and generalize, using data-driven methods and multilingual NLP evaluation. The lab also explores language typology and Indigenous language survival.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Papers
- 4
Recent papers, explained
- Modeling the Dative Alternation in English Early Child Language
2025 · Open Mind
Shows how children acquire the English dative alternation, comparing double and prepositional object structures.
- The development of English negative constructions and communicative functions
2025 · Language Learning and Development
Explores how children develop abstract and context-specific negation in early language.
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- Evaluating learning trajectories of neural morphology acquisition models
2025 · Linguistics Vanguard
Evaluates how well neural network models of morphology acquisition match human learning patterns.
- Why we need a gradient approach to word order
2023 · Linguistics
Argues for treating word order preferences as a continuous variable across languages.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Zoey Liu hasn't set up this page yet. You can also look them up in the UF directory (search “Zoey Liu”).