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

Style Classification of Rabbinic Literature for Detection of Lost Midrash Tanhuma Material