English

A semantic space for modeling children's semantic memory

Computation and Language 2008-12-18 v1

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.

Keywords

Cite

@article{arxiv.0805.4369,
  title  = {A semantic space for modeling children's semantic memory},
  author = {Guy Denhière and Benoît Lemaire and Cédrick Bellissens and Sandra Jhean},
  journal= {arXiv preprint arXiv:0805.4369},
  year   = {2008}
}
R2 v1 2026-06-21T10:45:00.574Z