At today’s webinar on Digital Humanities in the MENA region organized by Hamad bin Khalifa University, I presented an exciting joint project with Prof. George Mikros related to the analysis of recipes in mediaeval Arab cookery books using advanced Natural Language Processing methods. This is the first time state-of-the art Natural Language Processing (NLP) methods are applied to a corpus of mediaeval Arab recipes. The aim is to identify (1) patterns of ingredients and flavours; (2) diachronic changes in the selection and frequency of ingredients; and (3) relationships among the treatises. This analysis will not only help us detect the core themes of Arabic cuisine in medieval times, but will also show how these topics evolved over time as the structure of the constituent ingredients changed. Finally, this information will reveal crucial evidence about the authorship of recipes since quantitative profiling can reveal significant aspects of style. These findings are especially useful in the identification of anonymous texts.