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  Gallicagram : les archives de presse sous les rotatives de la statistique textuelle

De Courson, B., Azoulay, B., De Courson, C., Vanni, L., & Brunet, É. (2023). Gallicagram: les archives de presse sous les rotatives de la statistique textuelle. Corpus, 24. doi:10.4000/corpus.7944.

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Genre: Journal Article
Other : Gallicagram: applying textual statistics to press archives

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De Courson, Benoît1, Author           
Azoulay, Benjamin, Author
De Courson, Clara, Author
Vanni, Laurent, Author
Brunet, Étienne, Author
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1Criminology, Max Planck Institute for the Study of Crime, Security and Law, Max Planck Society, ou_2489695              

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 Abstract: Gallicagram is a lexicometry tool, based primarily on the archives of the French National Library and those of Le Monde newspaper. It counts the occurrences of a word and syntagma for a chosen corpus and a given period and offers several visualization options of the resulting data. For researchers, this software offers several assets: a large enough volume of data sufficient for lexicometric analysis from 1600 to present; transparency, which its competitor Ngram Viewer notably lacks; and a more constant structure throughout time. This article presents Gallibase, its extension which applies the tools of textual statistics, in particular factor analysis and tree clustering. It illustrates its potential and insists on the value of press corpora, which allows for the study of short periods.

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Language(s): fra - French
 Dates: 2023-02-09
 Publication Status: Published online
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 Identifiers: DOI: 10.4000/corpus.7944
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Title: Corpus
Source Genre: Journal
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Pages: - Volume / Issue: 24 Sequence Number: - Start / End Page: - Identifier: -