Affiliation:
1. Stern College for Women, Yeshiva University, New York, NY, USA
Abstract
Abstract
Envisioning the dense scholastic interactions of the Babylonian Talmud as a multi-generational social network, we built a social network graph of the Talmud. We performed Named Entity Recognition on statement-aligned Hebrew and English texts to produce graphs of rabbis (nodes) and their interactions (edges). The new graph database, currently available online, delivers visual and color-coded information about scholastic generation, teacher–student relationships, and both local (page-level) and global (Talmud-level) interactions. By making a wealth of knowledge accessible and highlighting relevant relationships, this tool can provide valuable insights into the complex dynamics of Talmudic discourse.
Publisher
Oxford University Press (OUP)
Subject
Computer Science Applications,Linguistics and Language,Language and Linguistics,Information Systems
Cited by
4 articles.
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