La correction participative de l’OCR par crowdsourcing au profit des bibliothèques numériques
Identifieur interne : 000028 ( Main/Exploration ); précédent : 000027; suivant : 000029La correction participative de l’OCR par crowdsourcing au profit des bibliothèques numériques
Auteurs : Mathieu Andro [France] ; Imad Saleh [France]Source :
- Bulletin des bibliothèques de France [ 0006-2006 ] ; 2015.
Descripteurs français
- mix :
- Wicri :
- topic : Numérisation.
Abstract
For their digitization projects, libraries produce often OCR with errors which can be corrected by providers employing low cost labor. But libraries May also appeal to web volunteers (explicit crowdsourcing) or to a paid crowd (like Amazon Mechanical Turk marketplace) or to users correcting OCR by playing games (gamification) or to internet users who don’t know that they are correcting OCR (implicit crowdsourcing like reCAPTCHA). Profitability of these experiments is compared.
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Affiliations:
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Le document en format XML
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