The textometric concept of active corpus - Archive ouverte HAL Access content directly
Conference Papers Year : 2022

The textometric concept of active corpus


Active corpus provides the possibility to apply searching and statistical computing as if corpus were reduced to selected words, whereas full text still remains visible in context display. This is mainly implemented in paradigmatic processing, yet it may concern syntagmatic processing or text display too. Here we experiment active corpus in syntagmatic processing. A projection generates a new corpus, in which words are semantic tags that were automatically assigned in a first step to the original data. This new corpus makes it easy to explore tag sequences, with any generic textometric tool available, however sparse the original annotation may be. This methodological path was applied to film grammar analysis on 10,000 archival descriptions of news reports. 19 camera shot and angle types were ed through queries and tagged. This annotation became the lexicon of the projected corpus that was used to study shot sequences. The annotation and projection tools we have run are available as utilities in TXM open-sourcesoftware and should usefully serve many research projects.
Fichier principal
Vignette du fichier
pincemin_al_jadt22_0515abp.pdf (935.79 Ko) Télécharger le fichier
pincemin_al_jadt22_appendix_0513abp.pdf (2.3 Mo) Télécharger le fichier
pincemin_al_jadt22_observations_entonnoir_211105bbp.pdf (115.97 Ko) Télécharger le fichier (15.56 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Licence : CC BY - Attribution
Licence : CC BY NC SA - Attribution - NonCommercial - ShareAlike

Dates and versions

halshs-03667319 , version 1 (15-05-2022)


Attribution - CC BY 4.0


  • HAL Id : halshs-03667319 , version 1


Bénédicte Pincemin, Serge Heiden, Franck Mazuet. The textometric concept of active corpus: Illustration by an analysis scenario based on annotation then projection. 16th International Conference on Statistical Analysis of Textual Data JADT 2022, VADISTAT - Per Simona Balbi, Univ. of Naples Federico II, Jul 2022, Naples, Italy. pp.691-698. ⟨halshs-03667319⟩
103 View
24 Download


Gmail Facebook Twitter LinkedIn More