Through a case study — the analysis of the discursive behaviors of the term “francization” — the article proposes to show that any neological phenomenon in terminology does not arise only from a demiurgic act having its source in the practices of standardization. On the contrary, an important role is played by the spontaneous behaviors taking place in the speech. In order to understand the cultural and intercultural data that underlies the discursive uses and behavioral habits of francisation, we take an approach inspired by textometry and corpus linguistics. We will question a corpus created from the website of the Ministère de l’Immigration, de la Francisation et de l’Intégration (mifi) of the Government of Québec. After having retraced the fundamental stages of the development of francisation in European and American, French and Quebec terminology databases, we will analyze their semantic behavior by studying these co–occurrences in the corpus chosen on the txm and Hyperbase softwares.

La néonymie à l’épreuve de la textométrie : le cas du terme ‘francisation’ dans le discours public au Québec

eleonora marzi
2021

Abstract

Through a case study — the analysis of the discursive behaviors of the term “francization” — the article proposes to show that any neological phenomenon in terminology does not arise only from a demiurgic act having its source in the practices of standardization. On the contrary, an important role is played by the spontaneous behaviors taking place in the speech. In order to understand the cultural and intercultural data that underlies the discursive uses and behavioral habits of francisation, we take an approach inspired by textometry and corpus linguistics. We will question a corpus created from the website of the Ministère de l’Immigration, de la Francisation et de l’Intégration (mifi) of the Government of Québec. After having retraced the fundamental stages of the development of francisation in European and American, French and Quebec terminology databases, we will analyze their semantic behavior by studying these co–occurrences in the corpus chosen on the txm and Hyperbase softwares.
2021
fernando funari, eleonora marzi
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/905744
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact