Introducing an Open Source Library for Sumerian Text Analysis

Hansel Guzman-Soto, Yudong Liu


Abstract
The study of Sumerian texts often requires domain experts to examine a vast number of tables. However, the absence of user-friendly tools for this process poses challenges and consumes significant time. In addressing this issue, we introduce an open-source library that empowers domain experts with minimal technical expertise to automate manual and repetitive tasks using a no-code dashboard. Our library includes an information extraction module that enables the automatic extraction of names and relations based on the user-defined lists of name tags and relation types. By utilizing the tool to facilitate the creation of knowledge graphs which is a data representation method offering insights into the relationships among entities in the data, we demonstrate its practical application in the analysis of Sumerian texts.
Anthology ID:
2023.alp-1.16
Volume:
Proceedings of the Ancient Language Processing Workshop
Month:
September
Year:
2023
Address:
Varna, Bulgaria
Editors:
Adam Anderson, Shai Gordin, Bin Li, Yudong Liu, Marco C. Passarotti
Venues:
ALP | WS
SIG:
Publisher:
INCOMA Ltd., Shoumen, Bulgaria
Note:
Pages:
133–137
Language:
URL:
https://aclanthology.org/2023.alp-1.16
DOI:
Bibkey:
Cite (ACL):
Hansel Guzman-Soto and Yudong Liu. 2023. Introducing an Open Source Library for Sumerian Text Analysis. In Proceedings of the Ancient Language Processing Workshop, pages 133–137, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.
Cite (Informal):
Introducing an Open Source Library for Sumerian Text Analysis (Guzman-Soto & Liu, ALP-WS 2023)
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PDF:
https://preview.aclanthology.org/nschneid-patch-1/2023.alp-1.16.pdf