Rachel Fregly
Project: Making Machine Learning More Human – Quantifying Parent-Child Language Alignment Using Neural Language Models
Mentor: Allyson Ettinger, Department of Linguistics & Susan Goldin-Meadow, Department of Psychology
Research Area Keywords: Computational Linguistics // Natural Language Processing // Data Analysis
Project Description: Ray Fregly is a junior at the University of Chicago double majoring in linguistics and computer science. This summer, she worked with Drs. Allyson Ettinger and Susan Goldin-Meadow on a project that altered and implemented neural network language models to Pytorch to quantify parent-child language alignment based on previously collected data. The long-term goal of the project is to use the results of this study to improve our understanding of child language acquisition.