Transcribing Foucault’s handwriting with Transkribus

The Foucault Fiches de Lecture (FFL) project aims both to explore and to make available online a large set of Michel Foucault’s reading notes (organized citations, references and comments) held at the BnF since 2013. Therefore, the team is digitizing, describing and enriching the reading notes that...

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Bibliographic Details
Published in:Journal of data mining and digital humanities Vol. Atelier Digit_Hum; no. Digital libraries and virtual...
Main Authors: Massot, Marie-Laure, Sforzini, Arianna, Ventresque, Vincent
Format: Journal Article
Language:English
Published: INRIA 05.03.2019
Nicolas Turenne
Subjects:
[info.info-ai]computer science [cs]/artificial intelligence [cs.ai]
[shs.hisphilso]humanities and social sciences/history, philosophy and sociology of sciences
acm: d.: software
Artificial Intelligence
automatic transcription of manuscripts
Computer Science
History, Philosophy and Sociology of Sciences
Humanities and Social Sciences
reading notes
transkribus
transkribus
automatic transcription of manuscripts
reading notes
artificial intelligence
ISSN:2416-5999, 2416-5999
Online Access:Get full text
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Summary:The Foucault Fiches de Lecture (FFL) project aims both to explore and to make available online a large set of Michel Foucault’s reading notes (organized citations, references and comments) held at the BnF since 2013. Therefore, the team is digitizing, describing and enriching the reading notes that the philosopher gathered while preparing his books and lectures, thus providing a new corpus that will allow a new approach to his work. In order to release the manuscripts online, and to collectively produce the data, the team is also developing a collaborative platform, based on RDF technologies, and designed to link together archival content and bibliographic data. This project is financed by the ANR (2017-2020) and coordinated by Michel Senellart, professor of philosophy at the ENS Lyon. It benefits from the partnerships of the ENS/PSL and the BnF. In addition, a collaboration with the European READ/Transkribus project has been started so as to produce automatic transcription of the reading notes.
ISSN:2416-5999
2416-5999
DOI:10.46298/jdmdh.5043