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cs.CL2026★ 1 cited
Manipulating language models' training data to study syntactic constraint learning: the case of English passivization
Cara Su-Yi Leong, Tal Linzen
Grammatical rules in natural languages are often characterized by exceptions. How do language learners learn these exceptions to otherwise general patterns? Here, we study this que…
cs.CL2024
SPAWNing Structural Priming Predictions from a Cognitively Motivated Parser
Grusha Prasad, Tal Linzen
Structural priming is a widely used psycholinguistic paradigm to study human sentence representations. In this work we introduce SPAWN, a cognitively motivated parser that can gene…
cs.CL2024
Do Language Models' Words Refer?
Matthew Mandelkern, Tal Linzen
What do language models (LMs) do with language? Everyone agrees that they can produce sequences of (mostly) coherent strings of English. But do those sentences mean something, or a…