Publications and Preprints

• Analogical inference from distributional structure: What recurrent neural networks can tell us about word learning

  Machine Learning with Applications, 15 June, 2023

  [Paper] [Code] [Dataset]
• Compositional Generalization in Graph-based Distributional Semantic Model

  CogSci Proceedings, July 2022

  [Paper] [Code] [Dataset]
• Supporting Word Learning with Language-internal Distributional Statistics: A Place for the Recurrent Neural Network?

  Doctoral Dissertation, 14 April 2022

  [Paper] [Code]
• BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language

  CoNLL 2021, 07 November 2021

  [Paper] [Models]
• Scaffolded input promotes atomic organization in the recurrent neural network language model

  CoNLL 2021, 07 November 2021

  [Paper]
• Using lexical context to discover the noun category: Younger children have it easier

  Psychology of Learning and Motivation, 28 October 2021

  [Paper]
• Order Matters: Developmentally plausible acquisition of lexical categories

  Preprint, 01 February 2020

  [Paper]
• Structured Semantic Knowledge Can Emerge Automatically from Predicting Word Sequences in Child-Directed Speech

  Frontiers in Psychology, 22 February 2018

  [Paper]