A web platform for collaborative semi-automatic OCR post-processing

Digital Humanities researchers often make use of software that helps them in the task of finding non-trivial relationships among characters in historical text. Usually, the source texts that contain such information come from OCR acquired volumes, carrying high amounts of errors within them. This wo...

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Detalles Bibliográficos
Autores principales: Mechaca C., Ana L., Marmanillo, Walter G., Xamena, Eduardo, Ramirez-Orta, Juan, Maguitman, Ana Gabriela, Milios, Evangelos E.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2021
Materias:
Ciencias Informáticas
OCR Post-processing
Digital Humanities
Language Models
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/140119
http://50jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-02.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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