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Building a Dataset of Islamicate Texts

by Michael McLaughlin
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Arabic text in a medical book.

Researchers from Knowledge, Information, and The Arabic Book (KITAB), a project to create digital tools to analyze Arabic writing, have released a dataset of more than 4,000 Arabic texts to help construct the first machine-readable corpus of premodern Islamicate texts. The texts include work from nearly 2,000 authors and contain more than a billion words combined. Researchers can use this dataset to develop algorithms that can identify relationships between ideas within Arabic texts.

Get the data.

Image: Wellcome Images

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Michael McLaughlin

Michael McLaughlin is a research analyst at the Center for Data Innovation. He researches and writes about a variety of issues related to information technology and Internet policy, including digital platforms, e-government, and artificial intelligence. Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He received his Master’s in Communication at Stanford University, specializing in Data Journalism.

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