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Fast(Text) Analysis

Authors: Jauhiainen, Heidi; Alstola, Tero;

Fast(Text) Analysis

Abstract

This is the data used for and generated during our research for the article "Fast(Text) Analysis of Mesopotamian Divine Names" published in Vanessa Bigot Juloux, Alessandro di Ludovico, and Sveta Matskevich (eds.), The Ancient World Goes Digital: Case Studies on Archaeology, Texts, Online Publishing, Digital Archiving, and Preservation. Digital Biblical Studies, 6. Brill, 2023. We thank the Open Richly Annotated Cuneiform Corpus (Oracc) for their efforts in making linguistically annotated cuneiform texts available online. We are indebted to everyone involved in creating this research data, including the authors of the original publications and researchers who made the data Oracc-compatible and enriched it through lemmatizations and by adding other metadata. For a list of projects and their contributors, see the file OraccCredits.txt.

Our data comes from the Open Richly Annotated Cuneiform Corpus (http://oracc.museum.upenn.edu/). Our research and the creation of this dataset were funded by the Academy of Finland.

Related Organizations
Keywords

Digital Humanities, Visualisation, FastText, Language Technology, Assyriology, Akkadian

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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