Shlomo Tannor ; Nachum Dershowitz ; Moshe Lavee - Style Classification of Rabbinic Literature for Detection of Lost Midrash Tanhuma Material

jdmdh:11375 - Journal of Data Mining & Digital Humanities, August 13, 2023, NLP4DH - https://doi.org/10.46298/jdmdh.11375
Style Classification of Rabbinic Literature for Detection of Lost Midrash Tanhuma MaterialArticle

Authors: Shlomo Tannor 1; Nachum Dershowitz ORCID1; Moshe Lavee ORCID2

Midrash collections are complex rabbinic works that consist of text in multiple languages, which evolved through long processes of unstable oral and written transmission. Determining the origin of a given passage in such a compilation is not always straightforward and is often a matter of dispute among scholars, yet it is essential for scholars' understanding of the passage and its relationship to other texts in the rabbinic corpus. To help solve this problem, we propose a system for classification of rabbinic literature based on its style, leveraging recent advances in natural language processing for Hebrew texts. Additionally, we demonstrate how this method can be applied to uncover lost material from a specific midrash genre, Tan\d{h}uma-Yelammedenu, that has been preserved in later anthologies.


Volume: NLP4DH
Published on: August 13, 2023
Accepted on: July 6, 2023
Submitted on: May 25, 2023
Keywords: Computer Science - Computation and Language,Computer Science - Machine Learning

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