@inproceedings{b6bba8fe0a2d415ba2329cbb2ee664ef,
title = "A distributional learning account of the acquisition of the locative alternation: Corpus analysis and modeling",
abstract = "Early in acquisition children overgeneralize verbs to ungrammatical structures. The retreat from overgeneralization is linked to the acquisition of verb classes, the semantics of which constrain the structures in which a verb can appear (e.g., Pinker 1989; Ambridge, Pine & Rowland, 2012). How children learn these classes remains unclear. Some argue that distributional regularities in linguistic input provide sufficient evidence for verb classes to emerge and become linked to particular structures. A corpus analysis of the English locative construction (e.g., the woman sprayed water onto the wall/the wall with water) demonstrated that children have similar verb classes to adults. A correspondence analysis revealed that distributional regularities in the input could support these verb classes. Finally, a connectionist simulation was able to model early overgeneralization and retreat through distributional learning of verb classes. These results support a distributional learning account of verb semantics.",
keywords = "Child language acquisition, distributional learning, Dual-Path model, locative construction, naturalistic speech",
author = "Twomey, {Katherine E.} and Franklin Chang and Ben Ambridge",
note = "Publisher Copyright: {\textcopyright} CogSci 2013.All rights reserved.; 35th Annual Meeting of the Cognitive Science Society - Cooperative Minds: Social Interaction and Group Dynamics, CogSci 2013 ; Conference date: 31-07-2013 Through 03-08-2013",
year = "2013",
language = "English",
series = "Cooperative Minds: Social Interaction and Group Dynamics - Proceedings of the 35th Annual Meeting of the Cognitive Science Society, CogSci 2013",
publisher = "The Cognitive Science Society",
pages = "1498--1503",
editor = "Markus Knauff and Natalie Sebanz and Michael Pauen and Ipke Wachsmuth",
booktitle = "Cooperative Minds",
address = "United States",
}