Copyright

Christian Canu Højgaard

Published On

2024-05-30

Page Range

pp. 71–130

Language

  • English

Print Length

60 pages

3. Tracking the Participants

When social network analysis has been applied to texts, the participants or persons of the text have commonly been conceptualized as nodes and their relationships as edges. Most often, the data have been extracted manually as semantic triplets, also known as RDF triplets, in order to reduce the complexity of the data. Obviously, texts do not usually come in neat semantic triplets, so the question is how information can be extracted more consistently in order to increase the accuracy of analysis.
In Leviticus 17–26 there are 4,092 individual participant references, so manual tagging is problematic. This chapter investigates a semi-automatic approach to participant resolution in order to map linguistic references unto text-level persons. A number of crucial issues are discussed, including the problem of identical, yet different participants, conflation of participants, synonymous participants, and references to individual participants in a group.

Contributors

Christian Canu Højgaard

(author)
Assistant professor of Old Testament at Fjellhaug Internasjonale Høgskole

Christian Canu Højgaard (PhD, Vrije Universiteit Amsterdam, 2021, awarded cum laude) is Assistant Professor of Old Testament at Fjellhaug International University College Copenhagen. His main interests include Biblical Hebrew language (in particular verbal syntax and semantics), social readings of Biblical law, and digitalization of ancient texts. He is the general editor of Hiphil Novum, a journal for Biblical linguistics. He is currently involved in Creating Annotated Corpora of Classical Hebrew Text, a cross-institutional research project for the digitalization and annotation of ancient texts, and A Grammar of Biblical Hebrew led by Professor Geoffrey Khan.