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A semantic space for modeling children's semantic memory

Abstract : The goal of this paper is to present a model of children's semantic memory, which is based on a corpus reproducing the kinds of texts children are exposed to. After presenting the literature in the development of the semantic memory, a preliminary French corpus of 3.2 million words is described. Similarities in the resulting semantic space are compared to human data on four tests: association norms, vocabulary test, semantic judgments and memory tasks. A second corpus is described, which is composed of subcorpora corresponding to various ages. This stratified corpus is intended as a basis for developmental studies. Finally, two applications of these models of semantic memory are presented: the first one aims at tracing the development of semantic similarities paragraph by paragraph; the second one describes an implementation of a model of text comprehension derived from the Construction-integration model (Kintsch, 1988, 1998) and based on such models of semantic memory.
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Contributor : Benoît Lemaire Connect in order to contact the contributor
Submitted on : Wednesday, May 28, 2008 - 3:43:20 PM
Last modification on : Tuesday, October 19, 2021 - 10:58:48 PM
Long-term archiving on: : Friday, May 28, 2010 - 8:31:01 PM


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  • HAL Id : hal-00282856, version 1
  • ARXIV : 0805.4369



Guy Denhière, Benoît Lemaire, Cédrick Bellissens, Sandra Jhean-Larose. A semantic space for modeling children's semantic memory. Landauer, T.K., McNamara, D.S., Dennis, S., Kintsch, W. The handbook of Latent Semantic Analysis, Lawrence Erlbaum Associates, pp.143-165, 2007. ⟨hal-00282856⟩



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