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

11/17/2022
by   Shlomo Tannor, et al.
0

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 recently released pretrained Transformer models for Hebrew. Additionally, we demonstrate how our method can be applied to uncover lost material from Midrash Tanhuma.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/07/2023

DWReCO at CheckThat! 2023: Enhancing Subjectivity Detection through Style-based Data Sampling

This paper describes our submission for the subjectivity detection task ...
research
08/17/2021

Contextualizing Variation in Text Style Transfer Datasets

Text style transfer involves rewriting the content of a source sentence ...
research
06/05/2023

Identifying the style by a qualified reader on a short fragment of generated poetry

Style is an important concept in today's challenges in natural language ...
research
12/09/2018

Learning Style Compatibility for Furniture

When judging style, a key question that often arises is whether or not a...
research
12/08/2020

Learning Portrait Style Representations

Style analysis of artwork in computer vision predominantly focuses on ac...
research
04/19/2022

Detecting Text Formality: A Study of Text Classification Approaches

Formality is an important characteristic of text documents. The automati...

Please sign up or login with your details

Forgot password? Click here to reset