Segmentation tool for hadith corpus to generate TEI encoding

Hajer Maraoui (1, 2) , Kais Haddar (1, 3) , Laurent Romary (4)

1 MIRACL - Multimedia, InfoRmation systems and Advanced Computing Laboratory
2 FST - Faculté des Sciences Mathématiques, Physiques et Naturelles de Tunis
3 FSS - Faculté des Sciences de Sfax
4 ALMAnaCH - Automatic Language Modelling and ANAlysis & Computational Humanities

A segmentation tool for a hadith corpus is necessary to prepare the TEI hadith encoding process. In this context, we aim to develop a tool allowing the segmentation of hadith text from Sahih al-Bukhari corpus. To achieve this objective, we start by identifying different hadith structures. Then, we elaborate an automatic processing tool for hadith segmentation. This tool will be integrated in a prototype allowing the TEI encoding process. The experimentation and the evaluation of this tool is based on Sahih al-Bukhari corpus. The obtained results were encouraging despite some flaws related to exceptional cases of hadith structure.

Mots clés: Hadith corpus; Hadith structure; Segmentation tool; TEI encoding

Domaines: Informatique et langage [cs.CL]

Hajer Maraoui, Kais Haddar, Laurent Romary. Segmentation tool for hadith corpus to generate TEI encoding. 4th International Conference on Advanced Intelligent Systems and Informatics (AISI’18), Sep 2018, Cairo, Egypt. ⟨hal-01794105⟩