Bridging the gap

Digital humanities and the Arabic-Islamic corpus

Despite some pioneering efforts in recent times, the longue durée analysis of conceptual history in the Islamic world remains a largely unexplored field of research. Researchers of Islamic intellectual history still tend to study a certain canon of texts, made available by previous Western researchers of the Islamic world largely based on considerations of the relevance of these texts for Western theories, concepts and ideas. Indigenous conceptual developments and innovations are therefore insufficiently understood, particularly as concerns the transition from premodern to modern thought in Islam.

This project seeks to harness state-of-the art Digital Humanities approaches and technologies to make pioneering forays into the vast corpus of digitised Arabic texts that has become available in the last decade. This is done along the lines of four case studies, each of which examines a separate genre of Arabic and Islamic literary history (jurisprudence, inter-faith literature, early modern and modern journalism, and Arabic poetry).

In this project, an interactive corpus explorer was developed, allowing the researchers to examine the distribution and context of concepts in a large volume of texts. The tool was then applied to the use cases, in addition to advanced text mining methods.

Participating organisations

Netherlands eScience Center
Utrecht University
Social Sciences & Humanities
Social Sciences & Humanities

Impact

Research and software: perspectives from different communities

Author(s): Netherlands eScience Center
Published by Netherlands eScience Center in 2018

Output

Testing shell commands from Python

Author(s): Janneke van der Zwaan
Published in 2018

Team

Jisk Attema
Programme Manager
Netherlands eScience Center
CL
Christian Lange
Principal investigator
Utrecht University
Dafne van Kuppevelt
Dafne van Kuppevelt
eScience Research Engineer
Netherlands eScience Center
Elena Ranguelova
Elena Ranguelova
Technical Lead
Netherlands eScience Center
Janneke van der Zwaan
Janneke van der Zwaan
eScience Research Engineer
Netherlands eScience Center

Related projects

Morphological Parser for Inflectional Languages Using Deep Learning

Morphological encoding for texts in Syriac using machine learning

Updated 2 months ago
Finished

EviDENce

Ego Documents Events modelling – how individuals recall mass violence

Updated 15 months ago
Finished

TICCLAT

Text-induced corpus correction and lexical assessment tool

Updated 16 months ago
Finished

Deep learning OCR post-correction

Evaluation and post-correction of OCR of digitised historical newspapers

Updated 15 months ago
Finished

Visualizing Uncertainty and Perspectives

Strengthening the methodology of digital humanities

Updated 15 months ago
Finished

Beyond the Book

Visualizing the level of international readability of works of fiction

Updated 15 months ago
Finished

PIDIMEHS

Pillarization and depillarization tested in digitized media historical sources

Updated 16 months ago
Finished

BiographyNet

Extracting relations between people and events

Updated 16 months ago
Finished

Related software

adhtools

AD

Use adhtools for analyzing Arabic corpora.

Updated 9 months ago
1 2

nlppln

NL

A flexible solution to build text mining workflows that allows you to quickly combine Natural Language Processing tools from different sources.

Updated 24 months ago
4 2