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20232026
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cs.CL2026

CAIT: A Syntactic Parsing Toolkit for Child-Adult InTeractions

Francesca Padovani, Xiulin Yang, Bastian Bunzeck +4

CHILDES is a paramount resource for language acquisition studies -- yet computational tools for analyzing its syntactic structure remain limited. Leveraging the recent release of t…

cs.CL2026

Is Child-Directed Language Optimized for Word Learning? A Computational Study of Verb Meaning Acquisition

Francesca Padovani, Jaap Jumelet, Yevgen Matusevych +1

Is child-directed language (CDL) optimized to support language learning, and which aspects of linguistic development does it facilitate? We investigate this question using neural l…

cs.CL2026

Vocabulary shapes cross-lingual variation of word-order learnability in language models

Jonas Mayer Martins, Jaap Jumelet, Viola Priesemann +1

Why do some languages like Czech permit free word order, while others like English do not? We address this question by pretraining transformer language models on a spectrum of synt…

cs.CL2026

BabyLM Turns 4 and Goes Multilingual: Call for Papers for the 2026 BabyLM Workshop

Leshem Choshen, Ryan Cotterell, Mustafa Omer Gul +7

The goal of the BabyLM is to stimulate new research connections between cognitive modeling and language model pretraining. We invite contributions in this vein to the BabyLM Worksh…

cs.CL2025

BabyBabelLM: A Multilingual Benchmark of Developmentally Plausible Training Data

Jaap Jumelet, Abdellah Fourtassi, Akari Haga +23

We present BabyBabelLM, a multilingual collection of datasets modeling the language a person observes from birth until they acquire a native language. We curate developmentally pla…

cs.CL2025

TurBLiMP: A Turkish Benchmark of Linguistic Minimal Pairs

Ezgi Başar, Francesca Padovani, Jaap Jumelet +1

We introduce TurBLiMP, the first Turkish benchmark of linguistic minimal pairs, designed to evaluate the linguistic abilities of monolingual and multilingual language models (LMs).…