Paper: Automatically Learning Measures of Child Language Development

ACL ID P12-2019
Title Automatically Learning Measures of Child Language Development
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2012
Authors

We propose a new approach for the creation of child language development metrics. A set of linguistic features is computed on child speech samples and used as input in two age predic- tion experiments. In the first experiment, we learn a child-specific metric and predicts the ages at which speech samples were produced. We then learn a more general developmen- tal index by applying our method across chil- dren, predicting relative temporal orderings of speech samples. In both cases we compare our results with established measures of lan- guage development, showing improvements in age prediction performance.