In the present contribution, we propose to study the themes of the Shoah using a small corpus (25.000 word tokens) consisting of three long deportation narratives written a posteriori in the 2000s, in order to submit it to a computer-assisted analysis of the textual data. This study has two objectives: the first is to shed light on the thematic economy of the discourse of the Shoah, based on a sample of written testimonies. After presenting the corpus and the working methodology based on the co-occurrence approach, we will focus on the description of the thematic and lexical tagging of the corpus using Hyperbase and Iramuteq software and will present the results obtained. In parallel, the second objective concerns the methodological clarification of the thematic tagging protocols developed in recent years in logometry, which we wanted to apply empirically to a corpus of written testimonies.

Repérage des thèmes et des classes lexicales dans un corpus de récits mémoriels de la Shoah: une analyse outillée des données textuelles

Silvia Domenica Zollo
2022-01-01

Abstract

In the present contribution, we propose to study the themes of the Shoah using a small corpus (25.000 word tokens) consisting of three long deportation narratives written a posteriori in the 2000s, in order to submit it to a computer-assisted analysis of the textual data. This study has two objectives: the first is to shed light on the thematic economy of the discourse of the Shoah, based on a sample of written testimonies. After presenting the corpus and the working methodology based on the co-occurrence approach, we will focus on the description of the thematic and lexical tagging of the corpus using Hyperbase and Iramuteq software and will present the results obtained. In parallel, the second objective concerns the methodological clarification of the thematic tagging protocols developed in recent years in logometry, which we wanted to apply empirically to a corpus of written testimonies.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

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/11367/112076
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact