Encoding Hadith-Based Premodern Islamic Texts with TEI
Over the past decade, TEI XML models for Arabic have primarily addressed linguistic and grammatical problems, particularly in encoding Arabic lexica and managing textual variations in manuscripts. Nevertheless, despite the variety of text-specific TEI encoding practices, there remains a clear need f...
Sábháilte in:
| Foilsithe in: | URI:https://journals.openedition.org/jtei, |
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| Príomhchruthaitheoirí: | , |
| Formáid: | Article ou chapitre numérique |
| Teanga: | Anglais |
| Foilsithe / Cruthaithe: |
Journal of the Text Encoding Initiative
2026
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| Ábhair: | |
| Rochtain ar líne: | Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM |
| Achoimre: | Over the past decade, TEI XML models for Arabic have primarily addressed linguistic and grammatical problems, particularly in encoding Arabic lexica and managing textual variations in manuscripts. Nevertheless, despite the variety of text-specific TEI encoding practices, there remains a clear need for a coherent and reusable workflow capable of encoding hadith-based premodern Islamic texts. The BADR Project aims to fill this gap by proposing a TEI XML text database that covers sources up to the fourteenth century. This database emphasizes key Islamic texts structured around the hadith format, linking the content of a text (matn) to a chain of guarantors (isnād). The paper outlines the rationale behind the selection of tags and attributes used in encoding, describes the semiautomatic encoding process, and explores the research possibilities enabled by this method. The proposed approach facilitates the extraction and quantification of named entities, thereby opening new avenues for the study of premodern Islamic texts and historiography. |
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