
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
historical linguistics, cognate detection, benchmark dataset, computational historical linguistics
historical linguistics, cognate detection, benchmark dataset, computational historical linguistics
| 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). | 0 | |
| 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 |
