Abstract
Accepté pour un numéro spécial JDMDH (ed. M. Büchler et L. Mellerin); version finale (v4) If one is convinced that " quantitative research provides data not interpretation " [Moretti, 2005, 9], close reading should thus be considered as not only the necessary bridge between big data and interpretation but also the core duty of the Humanities. To test its potential in a neglected field – the Arabic manuscripts of the Letters of Paul of Tarsus – an enhanced, digital edition has been in development as a progression of a Swiss National Fund project. This short paper presents the development of this edition and perspectives regarding a second project. Based on the Edition Visualization Technology tool, the digital edition provides a transcription of the Arabic text, a standardized and vocalized version, as well as French translation with all texts encoded in TEI XML. Thanks to another Swiss National Foundation subsidy, a new research project on the unique New Testament, trilingual (Greek-Latin-Arabic) manuscript, the Marciana Library Gr. Z. 11 (379), 12th century, is currently underway. This project includes new features such as " Textlink " , " Hotspot " and notes: HumaReC.
Highlights
The Digital Humanities are often understood as a movement towards big data studies
This short paper presents the development of this digital enhanced edition based on the Edition Visualisation Tool (EVT) tool [http2], a collaborative work that will be further improved in the research project HumaReC [http3]
III FURTHER PERSPECTIVES AND CONCLUSION. This project makes available an edition of the complete First Letter to the Corinthians found in 33 folios of Vat
Summary
The Digital Humanities are often understood as a movement towards big data studies. To test its potential on a neglected field – the Arabic manuscripts of the Letters of Paul of Tarsus –an enhanced, digital edition has been in development in the framework of a Swiss National Fund 2013-2016 [http1]. This short paper presents the development of this digital enhanced edition based on the EVT tool [http2], a collaborative work that will be further improved in the research project HumaReC [http3]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
