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Dataset . 2025
License: CC BY
Data sources: ZENODO
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https://doi.org/10.5281/zenodo...
Dataset . 2025
License: CC BY
Data sources: Sygma
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Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Lexibench: Benchmark Datasets for Computational Historical Linguistics

Authors: Häuser, Luise; Forkel, Robert; List, Johann-Mattis;

Lexibench: Benchmark Datasets for Computational Historical Linguistics

Abstract

Lexibench is a collection of benchmark data for computational historical linguistics. If you use the benchmark data assembled here, please cite the dataset: Häuser, Luise; Forkel, Robert; and List, Johann-Mattis (2025): Lexibench. Benchmark Datasets for Computational Historical Linguistics. [Dataset, Version 1.0]. https://codeberg.org/lexibank/lexibench In order to provide more detailed explanations about the data, consider citing the following study introducing Lexibench: Häuser, Luise and List, Johann-Mattis (2025): Lexibench. Towards an Improved Collection of Benchmark Data for Computational Historical Linguistics. Computer-Assisted Language Comparison in Practice 8.1: 9-16. https://doi.org/10.15475/calcip.2025.1.2 The following study introduces PyLexibench, the Python package that we use to populate and update the Lexibench repository: Häuser, Luise; Forkel, Robert; and List, Johann-Mattis (2025): PyLexibench: A Python package for the handling of benchmark data in computational historical linguistics. Computer-Assisted Language Comparison in Practice 8.4: 25-37. https://doi.org/10.15475/calcip.2025.1.4

Keywords

historical linguistics, cognate detection, benchmark dataset, computational historical linguistics

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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
Average
Average