TEI-encoding of texts from the Arabic linguistic tradition

This position is dedicated to the development and enhancement of a digital corpus of texts related to the early Arabic linguistic tradition. The activity focuses on the refinement, standardization, and enrichment of the corpus, with particular attention to improving the consistency, interoperability, and analytical potential of the dataset. The main task consists of TEI/XML encoding and refinement of textual materials, aiming to enhance both the structural and semantic representation of the corpus. A specific focus will be placed on identification, normalization, and markup of technical terminology and cited sources within grammatical and linguistic texts. This will support the analysis of processes of transmission, reuse, and reconfiguration of linguistic material across authors and works. The researcher will contribute to the development and consolidation of shared encoding guidelines.