Jedli is a toolbox based on Python that contains several distinct search functions. It allows you to perform customized search operations looking for any number of words, or combinations thereof, in digitized Arabic texts. Jedli has three different search options: the indexer, the highlighter, and the context search.
- The indexer enables you to produce a custom index of any word in a text, complete with references to the specific volume and page number of each occurrence.
- The highlighter marks any number of search terms you input into the program in different colors, to help you identify relevant text segments more quickly.
- The context search allows you to find contexts pertinent to your research through the combination of customized (lists of) search terms.
An introduction to Jedli is included in José Haro Peralta and Peter Verkinderen’s article "'Find for me!': Building a Context-Based Search Tool Using Python", which has been published in Elias Muhanna (ed.), The Digital Humanities and Islamic & Middle East Studies, Berlin: De Gruyter, 2016, pp. 199-231 and is open access.
For further information on Jedli or to download the Jedli Toolbox and a user manual, please follow this link.