Learning Reduplication with a Neural Network that Lacks Explicit Variables

Reduplicative linguistic patterns have been used as evidence for explicit algebraic variables in models of cognition.1 Here, we show that a variable-free neural network can model these patterns in a way that predicts observed human behavior. Specifically, we successfully simulate the three experime...

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Bibliographic Details
Main Authors: Brandon Prickett, Aaron Traylor, Joe Pater
Format: Article
Language:English
Published: Institute of Computer Science, Polish Academy of Sciences 2022-03-01
Series:Journal of Language Modelling
Subjects:
Online Access:https://jlm.ipipan.waw.pl/index.php/JLM/article/view/274