# LingRex: Linguistic Reconstruction with LingPy
[](https://github.com/lingpy/lingrex/actions?query=workflow%3Atests) [](http://codecov.io/github/lingpy/lingrex?branch=master) [](https://doi.org/10.5281/zenodo.1544943) [](https://badge.fury.io/py/lingrex)
LingRex offers the code needed for the automatic inference of sound correspondence patterns as described in the following paper:
> List, J.-M. (2019): Automatic inference of sound correspondence patterns across multiple languages. Computational Linguistics 45.1. 137-161.
To test this workflow, please check the workflow code example in tests/workflows/list-2019.
When using this package in your research, please make sure to quote the paper accordingly, and quote the software package as follows:
> List, Johann-Mattis and Robert Forkel (2021): LingRex: Linguistic reconstruction with LingPy. Version 1.1.0. Leipzig: Max Planck Institute for Evolutionary Anthropology. URL: https://github.com/lingpy/lingrex
Since this software package itself makes use of LingPy’s alignment algorithms, you should also quote the LingPy package itself.
> List, J.-M. and R. Forkel (2021): LingPy. A Python library for quantitative tasks in historical linguistics. Version 2.6.7. Version 2.6.7. Max Planck Institute for Evolutionary Anthropology: Leipzig. https://lingpy.org
## Installation
Install the package via pip:
`shell pip install lingrex `
## Further Examples
In addition to the paper in which the correspondence pattern inference algorithm was first introduced, LingRex also offers the code to compute the workflow described in the following paper:
> Wu, M.-S., N. Schweikhard, T. Bodt, N. Hill, and J.-M. List (2020): Computer-Assisted Language Comparison. State of the Art. Journal of Open Humanities Data 6.2. 1-14. https://doi.org/10.5334/johd.12
To test this workflow, please check the workflow code example in tests/workflows/wu-2020.
If you use this workflow in your work, please quote this paper as well.
In addition, our experiment (with T. Bodt) on predicting words with the help of sound correspondence patterns also made use of the LingRex package.
> Bodt, T. and J.-M. List (2021): Reflex prediction. A case study of Western Kho-Bwa. Diachronica 0.0. 1-38. https://doi.org/10.1075/dia.20009.bod
To test this workflow, please check the workflow code example in tests/workflows/bodt-2019.
Release files for lingrex 1.1.0
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| lingrex-1.1.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 43.3 kB
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