Data Science Roundup

  • In “Handwriting Style Analysis in Arabic Papyri, Parchments, and Papers: the Case of Abū Hurayra” (Journal of Digital Islamicate Research), Leonora Sonego (Ludwig-Maximilians-Universität München) “evaluates a combined palaeographic-computational method to identify scribes in historic documents, more precisely Arabic papyri, where automatic feature extraction is not possible. The challenge is to define features that a human scholar can mark up in a reasonable amount of time, and that are relevant for the given question (e.g., Do we want to identify a scribe, or the period of production?). The paper presents a reference dataset of several dozen securely dated documents belonging to different contexts (private/official/legal), some of which can be assigned to specific persons.” [login required]

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