loanpy

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Intro

LoanPy is a linguistic toolkit developed during the course of my PhD thesis at the University of Vienna, providing solutions for various tasks in historical and contact linguistics, such as:

• Mining correspondence patterns from etymological data on the level of phonology and phonotactics
• Predicting loanword adaptation (lateral/horizontal transfers) based on heuristics and etymological data
• Historical reconstruction of words (vertical transfers) based on etymological data
• Evaluating the quality of the predictive models
• Searching for potential (old) loanwords between two languages

This toolkit has been designed with ease of use and compatibility in mind, offering a standalone, easy-to-setup, and cross-platform solution that works with Python 3.7 or higher.

Installation

Latest stable version:

::

$ pip install loanpy

Development version:

::

$ pip install git+https://github.com/martino-vic/loanpy.git@main

Documentation

• Read the docs <https://loanpy.readthedocs.io/en/latest/home.html>_

Citation

If you use loanpy 3 in your research or project, please cite the following:

::

@misc{martinovic2023,
  author       = {Viktor Martinovi{\'c}},
  title        = {LoanpyDataHub/loanpy: Third stable release},
  month        = may,
  year         = 2023,
  publisher    = {Zenodo},
  version      = {3.0.0},
  doi          = {10.5281/zenodo.7893906},
  url          = {https://doi.org/10.5281/zenodo.7893906}
}

License

LoanPy is released under the MIT License.

Compatible Input Data

LoanPy supports the following datasets:

• streitberggothic <https://github.com/LoanpyDataHub/streitberggothic>_,
• koeblergothic <https://github.com/LoanpyDataHub/koeblergothic>_
• gerstnerhungarian <https://github.com/LoanpyDataHub/gerstnerhungarian>_
• ronataswestoldturkic <https://github.com/LoanpyDataHub/ronataswestoldturkic>_

Main Changes Compared to Version 2

• Standalone: No external dependencies needed.
• Easy setup: Just download or clone the repository and start using it.
• Cross-platform: Works on any platform that supports Python.
• Python Compatibility: Works with Python 3.7 or higher.
• CLDF Integration: Fully compatible with CLDF data standards <https://cldf.clld.org/>_.