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Francesca Padovani

2 accepted papers

2025

Child-Directed Language Does Not Consistently Boost Syntax Learning in Language Models

EMNLP 2025

Seminal work by Huebner et al. (2021) showed that language models (LMs) trained on English Child-Directed Language (CDL) can outperform LMs trained on an equal amount of adult-directed text like Wikipedia. However, it remains unclear whether these results generalize across languages, architectures,

2025

TurBLiMP: A Turkish Benchmark of Linguistic Minimal Pairs

EMNLP 2025

We introduce TurBLiMP, the first Turkish benchmark of linguistic minimal pairs, designed to evaluate the linguistic abilities of monolingual and multilingual language models (LMs). Covering 16 linguistic phenomena with 1000 minimal pairs each, TurBLiMP fills an important gap in linguistic evaluation