Un modèle de partition du vocabulaire
type: Dataset
description: The model proposed here is used to describe the vocabulary of a corpus. It is divided into two groups : general vocabulary which is used whatever the circumstances and several local (or 'specialised') vocabularies, each of which is used in only one part of the corpus, General words may appear everywhere in the text and their increase with corpus size can be estimated with Muller's formula. In this model, a partition parameter measures the relative importance of both types of vocabularies: so the value of this parameter gives an estimation of the lexical 'specialisation' in the text. This model has been applied to Racine's plays and TV debates (Giscard vs Mitterrand, Chirac vs Fabius). The partition model can also be used to measure the increase of vocabulary with corpus length, to locate stylistic changes or to compare several texts from the point of view of their lexical richness.
issued: 2026-06-03T17:40:37.832805
language: fr
modified: 2026-06-03T17:40:37.832811
contact point: Organization
  fn: CCSD
keyword: book-sections
keyword: diversite-du-vocabulaire
keyword: infoeu-reposemanticsbookpart
keyword: linguistique
keyword: mathmath-stmathematics-mathstatistics-mathst
keyword: richesse-du-vocabulaire
keyword: shslanguehumanities-and-social-scienceslinguistics
keyword: specialisation-du-vocabulaire
keyword: statistics
keyword: statistique
keyword: statthstatistics-statstatistics-theory-statth
keyword: vocabulaire
keyword: vocabulary
keyword: vocabulary-increase
keyword: vocabulary-richness
keyword: vocabulary-specialisation
landing page: Etudes sur la richesse et la structures lexicales

Un modèle de partition du vocabulaire
type: Distribution
format: HTML
issued: 2026-06-03T17:40:37.979082
modified: 2026-06-03T17:40:37.770816
access URL: https://hal.science/hal-00758061

test_moissonnage_selune
type: Agent