Verifying Theories of Language Acquisition Using Computer Models of Language Evolution

Authors:
Paul Vogt;Elena Lieven
Affiliations:
Tilburg centre for Creative Computing, Tilburg University,The Netherlands;Max Planck Institute for Evolutionary Anthropology,Leipzig, Germany
Venue:
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Year:
2010

Citing 7
Cited 3

Compositional Syntax From Cultural Transmission

Artificial Life
Memory-Based Language Processing (Studies in Natural Language Processing)

Memory-Based Language Processing (Studies in Natural Language Processing)
The emergence of compositional structures in perceptually grounded language games

Artificial Intelligence - Special volume on connecting language to the world
Editorial: Language Evolution: Computer Models for Empirical Data

Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Cumulative cultural evolution: can we ever learn more?

SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Unify and merge in fluid construction grammar

EELC'06 Proceedings of the Third international conference on Emergence and Evolution of Linguistic Communication: symbol Grounding and Beyond
Spontaneous evolution of linguistic structure-an iterated learningmodel of the emergence of regularity and irregularity

IEEE Transactions on Evolutionary Computation

Editorial: Language Evolution: Computer Models for Empirical Data

Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Computational models of language acquisition

CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Syntactic trees and small-world networks: syntactic development as a dynamical process

Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This article presents a dense database study of child language acquisition from a usage-based perspective and a new analysis of data from an earlier study on simulating language evolution. The new analysis is carried out to show how computer modeling studies can be designed to generate predictions (results) that can be compared quantitatively with empirical data obtained from the dense database studies. Although the comparison shows that the computer model in question is still far from realistic, the study illustrates how to carry out agent-based simulations of language evolution that allow quantitative verification of predictions with empirical data to validate theories on child language acquisition.