OCR17: Ground Truth and Models for 17th c. French Prints (and hopefully more)

Machine learning begins with machine teaching: in the following paper, we present the data that we have prepared to kick-start the training of reliable OCR models for 17th century prints written in French. The construction of a representative corpus is a major challenge: we need to gather documents...

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Bibliographic Details
Published in:	Journal of data mining and digital humanities Vol. 2023; no. Dataset
Main Authors:	Gabay, Simon, Clérice, Thibault, Reul, Christian
Format:	Journal Article
Language:	English
Published:	INRIA 28.06.2023 Nicolas Turenne
Subjects:	17th c french [info.info-ne]computer science [cs]/neural and evolutionary computing [cs.ne] [info]computer science [cs] [shs.hist]humanities and social sciences/history [shs.info]humanities and social sciences/library and information sciences [shs.litt]humanities and social sciences/literature [shs]humanities and social sciences Computer Science construction de corpus corpus building data paper données History Humanities and Social Sciences Library and information sciences Literature Neural and Evolutionary Computing ocr training data xviième siècle Construction de corpus 17th c French Training data XVIIème siècle Données Data paper Corpus building OCR
ISSN:	2416-5999, 2416-5999
Online Access:	Get full text
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