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Factors Influencing the Emergence of Dependency Length Minimization in Neural Agent Simulations
Yuqing Zhang, Tessa Verhoef, Gertjan van Noord +1
Given various grammatical options, language users prefer the word order choice that reduces the overall length of syntactic dependencies, a principle known as dependency length min…
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…
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…
Assessing the Impact of Typological Features on Multilingual Machine Translation in the Age of Large Language Models
Vitalii Hirak, Jaap Jumelet, Arianna Bisazza
Despite major advances in multilingual modeling, large quality disparities persist across languages. Besides the obvious impact of uneven training resources, typological properties…
A Unified Assessment of the Poverty of the Stimulus Argument for Neural Language Models
Xiulin Yang, Arianna Bisazza, Nathan Schneider +1
Several recent contributions have evaluated the Poverty of the Stimulus Hypothesis (PoSH) using Artificial Neural Networks (ANNs). The results suggest that ANN-based language model…