A semantic space for modeling children's semantic memory

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dc.creatorDenhière, Guy
dc.creatorLemaire, Benoît
dc.creatorBellissens, Cédrick
dc.creatorJhean, Sandra
dc.date2008-05-28
dc.date.accessioned2026-07-07T12:19:16Z
dc.date.available2026-07-07T12:19:16Z
dc.descriptionThe 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.
dc.identifierhttps://arxiv.org/abs/0805.4369
dc.identifierhttp://arxiv.org/abs/0805.4369
dc.identifierThe handbook of Latent Semantic Analysis, Lawrence Erlbaum Associates (Ed.) (2007) 143-165
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/212697
dc.subjectComputation and Language
dc.titleA semantic space for modeling children's semantic memory
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