PyLexibench

With PyLexibench we introduce a small Python package that can be used to populate the Lexibench benchmark for computational historical linguistics with benchmark data. Here, we introduce the package and show how it helps to access and expand Lexibench. We also introduce new data for character matrices in various forms and formats and lay out how we intend to use the package to manage Lexibench releases in the future.

Publication Details

Journal
Universitätsbibliothek Passau
Published
2025-04-23
DOI
https://doi.org/10.15475/calcip.2025.1.4
Primary Topic
Data Mining and Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

PyLexibench

Universitätsbibliothek Passau
Data Mining and Machine Learning Applications
article

PyLexibench

article en

Abstract

With PyLexibench we introduce a small Python package that can be used to populate the Lexibench benchmark for computational historical linguistics with benchmark data. Here, we introduce the package and show how it helps to access and expand Lexibench. We also introduce new data for character matrices in various forms and formats and lay out how we intend to use the package to manage Lexibench releases in the future.

Universitätsbibliothek Passau
Quality Education
Openalex Percentile: Top 39%
Data Mining and Machine Learning Applications
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PyLexibench · Universitätsbibliothek Passau (2025) | TGRS Research Map | TGRS