@inproceedings{3957876e51ea46dfa217a179c59f379e,
title = "Exploring the Role of Representation in Models of Grammatical Category Acquisition",
abstract = "One major aspect of successful language acquisition is the ability to generalize from properties of experienced items to novel items. We present a computational study of artificial language learning, where the generalization patterns of three generative models are compared to those of human learners across 10 experiments. Results suggest that an explicit representation of word categories is the best model for capturing the generalization patterns of human learners across a wide range of learning environments. We discuss the representational assumptions implied by these models.",
author = "Ting Qian and Reeder, {Patricia A.} and Aslin, {Richard N.} and Tenenbaum, {Josh B.} and Newport, {Elissa L.}",
note = "Publisher Copyright: {\textcopyright} CogSci 2012.All rights reserved.; 34th Annual Meeting of the Cognitive Science Society: Building Bridges Across Cognitive Sciences Around the World, CogSci 2012 ; Conference date: 01-08-2012 Through 04-08-2012",
year = "2012",
language = "English (US)",
series = "Building Bridges Across Cognitive Sciences Around the World - Proceedings of the 34th Annual Meeting of the Cognitive Science Society, CogSci 2012",
publisher = "The Cognitive Science Society",
pages = "881--886",
editor = "Naomi Miyake and David Peebles and Cooper, {Richard P.}",
booktitle = "Building Bridges Across Cognitive Sciences Around the World - Proceedings of the 34th Annual Meeting of the Cognitive Science Society, CogSci 2012",
}