  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.
