Title

A Context-Based Computational Model of Language Acquisition by Infants and Children

Document Type

Article

Publication Date

12-1-2002

Keywords

analogy, context-based learning, language acquisition

Digital Object Identifier (DOI)

http://dx.doi.org/10.1023/A:1020721512631

Abstract

This research attempts to understand howchildren learn to use language. Instead ofusing syntax-based grammar rules to model thedifferences between children's language andadult language, as has been done in the past, anew model is proposed. In the new researchmodel, children acquire language by listeningto the examples of speech that they hear intheir environment and subsequently use thespeech examples that have been previously heardin similar contextual situations. A computermodel is generated to simulate this new modelof language acquisition. The MALL computerprogram will ‘listen’ to examples of humanspeech, as would occur around a child, and thentry to use these examples in new situationsthat are similar to the contextual situationsin which the language examples were ‘heard’. This will provide a better understanding of howchildren learn to use language and howeducators can assist or improve the languagelearning process by providing required examplesof speech or by helping children to develop abetter understanding of similarities betweenvarious contexts.

Comments

This article was written before Steven Walczak was affiliated with the University of South Florida.

Was this content written or created while at USF?

false

Citation / Publisher Attribution

Foundations of Science, v. 7, issue 4, p. 393-411