CAIT: A Syntactic Parsing Toolkit for Child-Adult InTeractions

Francesca Padovani, Xiulin Yang, Bastian Bunzeck, Jaap Jumelet, Yevgen Matusevych +2 more
5/19/2026
cs.CL

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Abstract

CHILDES is a paramount resource for language acquisition studies -- yet computational tools for analyzing its syntactic structure remain limited. Leveraging the recent release of the UD-English-CHILDES treebank with gold-standard Universal Dependencies (UD) annotations, we train a state-of-the-art dependency parser specifically tailored to CHILDES. The parser more accurately captures syntactic patterns in child--adult interactions, outperforming widely used off-the-shelf English parsers, including SpaCy and Stanza. Alongside the parser, we also release a Part-of-Speech tagger and an utterance-level construction tagger, which together form the open-source Syntactic Parsing Toolkit for Child--Adult InTeractions (CAIT). Through a detailed error analysis and a case study tracking the distribution of syntactic constructions across developmental time in CHILDES, we demonstrate the practical utility of the toolkit for large-scale, reproducible research on language acquisition.

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@article{padovani2026cait,
  title  = {CAIT: A Syntactic Parsing Toolkit for Child-Adult InTeractions},
  author = {Francesca Padovani and Xiulin Yang and Bastian Bunzeck and Jaap Jumelet and Yevgen Matusevych and Nathan Schneider and Arianna Bisazza},
  year   = {2026},
  eprint = {2605.19718},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2605.19718v1}
}

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