UD-English-CHILDES: A Collected Resource of Gold and Silver Universal Dependencies Trees for Child Language Interactions
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Abstract (arXiv)
CHILDES is a widely used resource of transcribed child and child-directed speech. This paper introduces UD-English-CHILDES, the first officially released Universal Dependencies (UD) treebank. It is derived from previously dependency-annotated CHILDES data, which we harmonize to follow unified annotation principles. The gold-standard trees encompass utterances sampled from 11 children and their caregivers, totaling over 48K sentences (236K tokens). We validate these gold-standard annotations under the UD v2 framework and provide an additional 1M~silver-standard sentences, offering a consistent resource for computational and linguistic research.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 9 of its 44 references that are in the map. First posted on arXiv 28 Apr 2025.
Builds on
9 of 44 references.
References · 9
- 2020Stanza: A Python Natural Language Processing Toolkit for Many Human Languagescited by 723
- 2020Universal Dependencies v2: An Evergrowing Multilingual Treebank Collectioncited by 271
- 2025MultiBLiMP 1.0: A Massively Multilingual Benchmark of Linguistic Minimal Pairscited by 71
- 2024[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpuscited by 26
- 2024Is Child-Directed Speech Effective Training Data for Language Models?cited by 24
- 2025BabyLM Turns 3: Call for papers for the 2025 BabyLM workshopcited by 24
- 2023A Cross-Linguistic Pressure for Uniform Information Density in Word Ordercited by 17
- 2024Natural Language Processing RELIES on Linguisticscited by 9
- 2022Data-driven Parsing Evaluation for Child-Parent Interactionscited by 3
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Citing papers per year: 2026: 3.
3 papers.