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How to measure development in corpora? An association strength approach
Sabine Stoll1, Stefan Th Gries
1Department of Linguistics, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany. stoll@eva.mpg.de
Journal of Child Language
|February 18, 2009
Summary
This study introduces a novel method for analyzing child language development in large datasets without predefined stages. It uses statistical measures to examine caregiver speech and child-directed speech patterns.
Area of Science:
- Linguistics
- Developmental Psychology
- Computational Linguistics
Background:
- Characterizing language development in children is complex.
- Longitudinal corpora offer rich data but require sophisticated analytical methods.
- Existing methods may rely on predefined developmental stages, limiting flexibility.
Observation:
- The proposed method analyzes development in large longitudinal corpora.
- It represents development without assuming predefined stages.
- It incorporates caregiver speech and child-directed speech (CDS).
Findings:
- The method utilizes statistical association measures to investigate co-occurrence data.
- It was exemplified with Russian children's acquisition of tense and grammatical aspect.
- This approach allows for flexible analysis of developmental patterns.
Implications:
- This method provides a robust framework for studying language acquisition.
- It can be applied to various linguistic and developmental research questions.
- It enhances the analysis of child-directed speech in developmental studies.
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