A Context-Based Computational Model of Language Acquisition by Infants and Children
analogy, context-based learning, language acquisition
Digital Object Identifier (DOI)
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.
Was this content written or created while at USF?
Citation / Publisher Attribution
Foundations of Science, v. 7, issue 4, p. 393-411
Scholar Commons Citation
Walczak, Steven, "A Context-Based Computational Model of Language Acquisition by Infants and Children" (2002). School of Information Faculty Publications. 197.