Metadata-Version: 2.1
Name: arcaverborum
Version: 0.1.4
Summary: Library for interfacing with data from the GLED project
Home-page: https://github.com/tresoldi/arcaverborum
Author: Tiago Tresoldi
Author-email: tiago.tresoldi@lingfil.uu.se
License: MIT
Keywords: linguistics,typology,sampling
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Text Processing :: Indexing
Classifier: Topic :: Text Processing :: Linguistic
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: dev
Provides-Extra: test
License-File: LICENSE
License-File: AUTHORS.md

# Arca Verborum

Arca Verborum is a project to interface with the data from the GLED package.

The main available function is currently the one for performing weighted sampling of
languages based on their phylogenetic distance. See code for more documentation, as below.

```python
>>> import arcaverborum
>>> matrix = arcaverborum.read_default_matrix()
>>> arcaverborum.language_sample(matrix, 5)
('GalibiCarib_gali1262', 'DonnoSoDogon_donn1239', 'NorthernAmami-Oshima_nort2935', 'KolPapuaNewGuinea_kolp1236', 'Kiliwa_kili1268')
```
