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Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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GermaParlPy

Authors: George, Marlon-Benedikt George;
Abstract

The GermaParlPy Python package provides functionality to deserialize, serialize, manage, and query the GermaParlTEI corpus by Blätte & Leonhardt (2024) and derived corpora. The GermaParlTEI corpus comprises the plenary protocols of the German Bundestag (parliament), encoded in XML according to the TEI standard. The current version covers the first 19 legislative periods, encompassing transcribed speeches from the Bundestag's constituent session on 7 September 1949 to the final sitting of the Angela Merkel era in 2021. This makes it a valuable resource for research in various scientific disciplines. For detailed information on the library, visit the official website. The underlying data set, the GermaParl corpus, was compiled and released by Blätte & Leonhardt (2024).See also their R-Library PolMineR by Blätte (2020) in the context of the PolMine-Project, which served as an inspiration for this library.

Keywords

GermaParl, linguistics, political science, history, corpus parliament germany

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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