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Related Experiment Video

Updated: Jun 9, 2026

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

Published on: May 23, 2017

Geminate consonants and emergent systematicity: A network analysis.

Catherine E Laing¹, Marilyn M Vihman²

¹Department of Language and Linguistic Science, University of York, Heslington, United Kingdom.

Advances in Child Development and Behavior

|June 7, 2026

Summary

Infants use systematic templates to produce early words. Combining traditional analysis with network modeling helps understand early vocabulary development across languages.

Keywords:

Network analysis Network graphs Phonological development Systematicity Templates

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Last Updated: Jun 9, 2026

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

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Published on: May 23, 2017

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Published on: July 1, 2014

Area of Science:

Child language acquisition
Developmental linguistics
Computational linguistics

Background:

Infants' early word production involves systematic templates.
Network modeling is increasingly used to analyze early vocabulary.
Understanding early systematicity is key to language development.

Purpose of the Study:

To compare traditional 'by hand' analysis with network modeling for studying early word production.
To determine if computational analysis aids understanding of early production.
To investigate methodological approaches using cross-linguistic data.

Main Methods:

Analysis of early word production data from 29 infants.
Utilizing network modeling techniques.
Comparing traditional manual analysis with computational network approaches.

Main Results:

Both traditional and network approaches reveal systematicity in early word production.
Network modeling offers a scalable method for analyzing large datasets.
The two methods complement each other in understanding early vocabulary.

Conclusions:

Computational analysis, particularly network modeling, enhances the understanding of early word production systematicity.
Combining methodologies provides a more comprehensive view of infant language development.
Cross-linguistic data highlights universal and language-specific patterns in early vocabulary.