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Accueil > Formation > Doctorat > Thèses soutenues > Mathematics and descriptive modulations for interpretative ways in text corpora : aplication to the Mendès France corpus (1922-1982)

Julien Bonneau

Mathematics and descriptive modulations for interpretative ways in text corpora : aplication to the Mendès France corpus (1922-1982)

Sous la direction de Damon Mayaffre

Defended on 14-12-2012, in Nice.

Résumé  : Statistical natural language processing (SNLP) are quantitative methods of text comparison. With logometry, SNLP and recent linguistic theories are combined to produce new tools for textual observations. Our logometric practice is a statistical application of François Rastier’s semantic theories on a corpus of Pierre Mendès France’s discurses. Our statistical way determine particularity by generality : words by paragraph, paragraphs by text, texts by corpus. We want to describe how situation – historical or social practice – influe on textual structure. To study the distribution high frequency words in the corpus, our works use two innovent tools : the cotextual environnement and the asymmetric cooccurrence. The former produces "smallworlds" : description of lexical semantic networks in texts ; the latter describes rythms of lexical variations. In our corpus, these rythms are associated to distinct argumentative values : persuasive-explanatory vs informative.

Voir en ligne : Thèses.fr

publié par Pierre-Aurélien GEORGES - mis à jour le