New KITAB visualizations
Much of our work at KITAB involves comparing books in order to understand their relationships. Our main tool for this is the passim software, which detects p...
Some Suggestions on Using OpenITI Corpus to Present Enhanced Digital Versions of Large Collections: The Case of al-Dhari‘a Ila Tasanif al-Shi‘a
Tagging the structure of the texts in OpenITI corpus is an important step towards the ultimate goal of the KITAB projectStudying the Arabic textual tradition...
Using the Many to Spot the Few
At present, the OpenITI/KITAB corpus comprises 10,243 text files, 6,268 of which are unique titles.
A Token Frequency Counter For OpenITI Texts
One of the participants in our KITAB user group asked for an easy way to find out which are the most frequently used words in a text.
Can Digital Humanities Be Informed by Bioinformatics? Visualising Passim Data for Multiple-Book Relationships
As KITAB’s research has shown, passim is an incredibly powerful tool for answering a variety of questions about book history and history in general. The algo...
The New OpenITI Metadata Search
The OpenITI corpus was designed in a way that makes it easy for scripts to access, identify and analyse the texts in the corpus. As a human reader, it was un...
Judging the Differences between Arabic Text Versions Mathematically
Researchers working on historical Arabic texts have long known about transmission practices that resulted in considerable differences between what were osten...