Abstract
This paper briefly describes aspects of the Tikkoun Sofrim crowdsourcing webApp. Tikkoun Sofrim is a webApp which allows users to correct automatic transcriptions (AT) done by an AI Neural network engine. We look at the background of the crowdsourcing phenomenon in the use of automatic transcription of digital humanities documents. System structure is briefly described. We then examine personalization and adaption aspects at different stages of the user/application lifecycle Finally, we briefly outline future challenges.
Original language | English |
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Title of host publication | ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization |
Publisher | Association for Computing Machinery, Inc |
Pages | 109-110 |
Number of pages | 2 |
ISBN (Electronic) | 9781450367110 |
DOIs | |
State | Published - 6 Jun 2019 |
Event | 27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019 - Larnaca, Cyprus Duration: 9 Jun 2019 → 12 Jun 2019 |
Publication series
Name | ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization |
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Conference
Conference | 27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019 |
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Country/Territory | Cyprus |
City | Larnaca |
Period | 9/06/19 → 12/06/19 |
Bibliographical note
Publisher Copyright:© 2019 Copyright is held by the owner/author(s).
Keywords
- Crowdsourcing
- Digital humanities
- Midrash tanhuma
- Transcription
ASJC Scopus subject areas
- Software