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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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HIMANIS Guérin

Authors: Stutzmann, Dominique; Hamel, Sébastien; Kernier, Iseut de; Mühlberger, Günter; Hackl, Günter;

HIMANIS Guérin

Abstract

The dataset HIMANIS Guérin provides a ground-truth for HTR training (Handwritten Text Recognition) for 1217 images or part of images and 30015 lines (933 images and 22093 lines in Guérin 1; 284 images and 7922 lines in Guérin 2). It was established as part of the HIMANIS research project in collaboration with the READ consortium (Recognition and Enrichment of Archival Documents). The base text is the edition by Paul Guérin, Recueil des documents concernant le Poitou contenus dans les registres de la Chancellerie de France, published between 1881 and 1919. The edition was digitized and OCR processed by the Bibliothèque nationale de France, then encoded by the Ecole nationale des Chartes (http://corpus.enc.sorbonne.fr/actesroyauxdupoitou/), then corrected and enhanced in HIMANIS, esp. for abbreviations and links to digital images (https://github.com/oriflamms/himanis/blob/master/Editions/Guerin_tome1-tome12.xml). The text was aligned line by line on Transkribus by the READ consortium for the acts whose coordinates were indicated in the HIMANIS project, mainly for volumes Paris, Archives nationales, JJ 35 to JJ 91, but supplemented by information for the vol. 12 of Guérin's edition. This dataset comprises two Transkribus exports, enriched with links to images accessible via IIIF protocol in the @corresp attribute of <graphic/> elements. The historical corpus is described in Stutzmann, Dominique, Jean-François Moufflet, and Sébastien Hamel. « La recherche en plein texte dans les sources manuscrites médiévales : enjeux et perspectives du projet HIMANIS pour l’édition électronique ». Médiévales : Langue, textes, histoire 73 (2017): 67‑96. https://doi.org/10.4000/medievales.8198. The present dataset is the training data for the " HIMANIS Chancery M1+ " model, cf. https://readcoop.eu/model/french-and-latin-chancery-documents/

{"references": ["Stutzmann, Dominique, Jean-Fran\u00e7ois Moufflet, and S\u00e9bastien Hamel. \u00ab La recherche en plein texte dans les sources manuscrites m\u00e9di\u00e9vales\u202f: enjeux et perspectives du projet HIMANIS pour l'\u00e9dition \u00e9lectronique \u00bb. M\u00e9di\u00e9vales\u202f: Langue, textes, histoire 73 (2017): 67\u201196. https://doi.org/10.4000/medievales.8198"]}

Keywords

latin palaeography, image analysis, ground truth

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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