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title The Artificial Papyrologist at work: Digital Papyrology and the AI
author Nicola Reggiani
licence http://creativecommons.org/licenses/by-nc-sa/4.0
link
description This module offers an overview of ongoing papyrological machine learning projects in the field of automated deciphering and identifying hands, restoring fragments and lacunae and performing linguistic analysis and data mining and discusses specific issues, future developments and critical caveats.
date 2023/01/23– 2023/01/23
language en
institution University of Bologna
focus https://w3id.org/encode/competences/Greek
focus https://w3id.org/encode/competences/DataVisualization
focus https://w3id.org/encode/competences/TextMining
focus https://w3id.org/encode/competences/MachineLearning
focus https://w3id.org/encode/competences/ToolsForDigitazation
focus https://w3id.org/encode/competences/Papyrology
exercise
literature
qualifications
format Lecture
medium in presence
location University of Bologna
competences
partof https://w3id.org/encode/modules/

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From the triple store.

Results of: DESCRIBE <https://w3id.org/encode/modules/m103>.
Results of: SELECT * WHERE{ BIND (<https://w3id.org/encode/modules/m103> as ?this) { ?this ?predicate ?object . OPTIONAL {?object ?predicateOfObject ?objectOfObject} } UNION { ?subject ?predicate ?this} }.