Learning biases for the evolution of linguistic structure: An associative network model

2Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Structural hallmarks of language can be explained in terms of adaptation, by language, to pressures arising during its cultural transmission. Here I present a model which explains the compositional structure of language as an adaptation in response to pressures arising from the poverty of the stimulus available to language learners and the biases of language learners themselves.

Cite

CITATION STYLE

APA

Smith, K. (2003). Learning biases for the evolution of linguistic structure: An associative network model. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 2801, pp. 517–524). Springer Verlag. https://doi.org/10.1007/978-3-540-39432-7_55

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free