Data-processing modeling of dynamic structures of textual segments for the analysis of corpus
type: Dataset
description: The objective of the thesis is to propose a data-processing model to represent, build and exploit textualstructures. The suggested model relies on a «type/token» form of text representation extended bysystems of lexical and contextual annotations. This model's establishment was carried out in the SATOsoftware -- of which the functionalities and the internal organization are presented. Reference to anumber of works give an account of the development and use of the software in various contexts.The formal assumption of the textual and discursive structures find an ally in the beaconing XMLlanguage and the proposals of the Text Encoding Initiative (TEI). Formally, the structures built on thetextual segments correspond to graphs. In a development driven textual analysis context, these graphsare multiple and partially deployed. Their resolution, within the fastening of the nodes to textualsegments or that of other graphs, is a dynamic process which can be sustained by various dataprocessingmechanisms. Examples drawn from textual linguistics are used to illustrate the principles ofstructural annotation. Prospective considerations for the data-processing establishment of amanagement system of the structural annotation are also exposed.
landing page: https://theses.hal.science/tel-00870410
identifier: NNT: 2011BESA1013
keyword: analyse-de-discours
keyword: analyse-de-texte-assistee-par-ordinateur
keyword: annotation-structurelle
keyword: computer-aided-text-analysis
keyword: discourse-analysis
keyword: infoeu-reposemanticsdoctoralthesis
keyword: modele-sato
keyword: sato-model
keyword: shslanguehumanities-and-social-scienceslinguistics
keyword: structural-annotation
keyword: tei
keyword: textometrie
keyword: textometry
keyword: theses
issued: 2026-05-09T11:18:42.659313
modified: 2026-05-09T11:18:42.659319
language: fr
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Data-processing modeling of dynamic structures of textual segments for the analysis of corpus
type: Distribution
format: HTML
access URL: https://theses.hal.science/tel-00870410
issued: 2026-05-09T11:18:42.687272
modified: 2026-05-09T11:18:42.643444