abzu

System for the simulation of language evolution


Keywords
linguistics, language, evolution, simulation, conlang
License
MIT
Install
pip install abzu==0.0.1.dev0

Documentation

Abzu

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Abzu system for simulating language evolution, which used the ngesh and alteruphono libraries. It is named after the underground aquifers that were the domais of Enki, the Sumerian god of language and confusion.

Please remember that abzu is a work-in-progress.

Installation

In any standard Python environment, abzu can be installed with:

pip install abzu

The pip instalation will also fetch dependencies, such as ngesh and alteruphono, if necessary. Installation in a virtual environment is recommended.

How to use

The library is under development, and the best way to understand its usage is to follow the tests.

A quick generation of a vocabulary following a random phonological system can be performed from the command-line:

$ abzu
Language: Aburo
  1:    oː e
  2:    i ŋ ẽ
  3:    f ɔ j ŋ
  4:    e h ɪ̃ s eː ʃ
  5:    i
  6:    k ɔː m ĩ ŋ uː
  7:    h a eː
  8:    u f
  9:    iː p
  10:   a o a ŋ

The utility accepts size (indicating the number of words in the vocabulary) and seed (for reproducibility) parameters:

$ abzu --size 15 --seed jena
Language: Rafvo
  1:    a m ã
  2:    e m e ɔ n ɨ n
  3:    p ɪ ʒ ɔ
  4:    ĩ b a ɔ
  5:    i n
  6:    ɪ a ŋ u j ʃ
  7:    t ɪ l u
  8:    n ɔ e
  9:    d u ɔ e ʃ
  10:   i s ɪ x
  11:   a b ẽ j
  12:   ɪ̃ ɪ b l a t u ʂ
  13:   e m ɔ n a ɪ ɲ e j s
  14:   n ɪ̃ tʃ ĩ ã
  15:   a ʃ a

TODO

See internal notes

How to cite

If you use abzu, please cite it as:

Tresoldi, Tiago (2019). Abzu, a system for simulating language evolution. Version 0.0.1dev. Jena. Available at https://github.com/tresoldi/abzu

In BibTex:

@misc{Tresoldi2019abzu,
  author = {Tresoldi, Tiago},
  title = {Abzu, a system for simulating language evolution},
  howpublished = {\url{https://github.com/tresoldi/abzu}},
  address = {Jena},
  year = {2019},
}

Author

Tiago Tresoldi (tresoldi@shh.mpg.de)

The author was supported during development by the ERC Grant #715618 for the project CALC (Computer-Assisted Language Comparison: Reconciling Computational and Classical Approaches in Historical Linguistics), led by Johann-Mattis List.