Self-organizing map models of language acquisition

Ping Li, Xiaowei Zhao

Research output: Contribution to journalReview articlepeer-review

19 Scopus citations

Abstract

Connectionist models have had a profound impact on theories of language. While most early models were inspired by the classic parallel distributed processing architecture, recent models of language have explored various other types of models, including self-organizing models for language acquisition. In this paper, we aim at providing a review of the latter type of models, and highlight a number of simulation experiments that we have conducted based on these models. We show that self-organizing connectionist models can provide significant insights into long-standing debates in both monolingual and bilingual language development. We suggest future directions in which these models can be extended, to better connect with behavioral and neural data, and to make clear predictions in testing relevant psycholinguistic theories.

Original languageEnglish (US)
Article numberArticle 828
JournalFrontiers in Psychology
Volume4
Issue numberNOV
DOIs
StatePublished - 2013

All Science Journal Classification (ASJC) codes

  • Psychology(all)

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