computational models in the debate over language learnability

Abstract : computational models have played a central role in the debate over language learnability. this article discusses how they have been used in different "stances", from generative views to more recently introduced explanatory frameworks based on embodiment, cognitive development and cultural evolution. by digging into the details of certain specific models, we show how they organize, transform and rephrase defining questions about what makes language learning possible for children. finally, we present a tentative synthesis to recast the debate using the notion of learning bias. copyright {\copyright} 2008 john wikey \& sons, ltd.
Document type :
Journal articles
Liste complète des métadonnées

Cited literature [103 references]  Display  Hide  Download

https://hal.inria.fr/inria-00348493
Contributor : Pierre Rouanet <>
Submitted on : Friday, December 19, 2008 - 11:31:09 AM
Last modification on : Thursday, November 16, 2017 - 5:12:01 PM
Document(s) archivé(s) le : Tuesday, June 8, 2010 - 4:44:24 PM

File

kaplan-oudeyer-bergen.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00348493, version 1

Citation

Frederic Kaplan, Pierre-Yves Oudeyer, Benjamin Bergen. computational models in the debate over language learnability. Infant and Child Development, Wiley, 2008, 17 (1), pp.55--80. ⟨inria-00348493⟩

Share

Metrics

Record views

1388

Files downloads

382