Article Structure

Abstract

We propose a new approach for the creation of child language development metrics.

Introduction

The rapid childhood development from a seemingly blank slate to language mastery is a puzzle that linguists and psychologists continue to ponder.

Data

To identify trends in child language learning we need a corpus of child speech samples, which we

Experiments

Learning Individual Child Metrics Our first task is to predict the age at which a held-out speech sample was produced, given a set of age-stamped samples from the same child.

Discussion

Our first set of experiments verified that we can achieve a decrease in mean squared error over existing metrics in a child-specific age prediction task.