GitMA Poster

Name: GitMA Poster
Keywords: Paper, Data, and methods, analysis and methods, annotation structures, Linguistics, Git, Literary studies, Humanities computing, software development

Meister, Malte; Gerstorfer, Dominik; Schumacher, Mareike Katharina; Gius, Evelyn

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ZENODO

Conference object . 2023

License: CC BY

Data sources: Datacite

ZENODO

Article . 2023

License: CC BY

Data sources: Datacite

ZENODO

Article . 2023

License: CC BY

Data sources: Datacite

ZENODO

Conference object . 2023

License: CC BY

Data sources: Datacite

DBLP

Conference object

Data sources: DBLP

GitMA Poster

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 30 Jun 2023Publisher:Zenodo

Authors: Meister, Malte; Gerstorfer, Dominik; Schumacher, Mareike Katharina; Gius, Evelyn;

doi: 10.5281/zenodo.8228517 , 10.5281/zenodo.8108091 , 10.5281/zenodo.8108090 , 10.5281/zenodo.8228516

GitMA Poster

- Summary
- Subjects
- Related research
  (2)
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Abstract

Since CATMA version 6.0 project data can be accessed in the form of Git repositories. A Python library which enables easy access to this data was developed at the department of Digital Philology at the Technical University of Darmstadt. It makes it possible to further process annotations using established and popular Python data science tools. The poster will serve as a kind of instruction manual for the use of the CATMA Git Access and the Python library.

Related Organizations

TU Darmstadt
Germany
Technische Universität Darmstradt
Germany

Keywords

Paper, Data, and methods, analysis and methods, annotation structures, Linguistics, Git, Literary studies, Humanities computing, software development, FOS: Languages and literature, systems, systems and information architecture and usability, Philology, Poster, CATMA, Python, Visualization

2 Research products, page 1 of 1

Digital Humanities 2023: Book of Abstracts
2023IsPartOf
gitma software on GitHub
IsRelatedTo

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