LinguList

A Primer on Automatic Inference of Sound Correspondence Patterns (2): Initial Experiments with Alignments from the Tableaux Phonétiques des Patois Suisses Romands

To run the script provided here, make sure to download the data from Zenodo, and unpack the folder multiple.zip. Then cd into the folder, and run the script as follows:

$ python to_wordlist.py

To install all requirements, just type:

LinguList

A Primer on Automatic Inference of Sound Correspondence Patterns (3): Extended Experiments with Alignments from the Tableaux Phonétiques des Patois Suisses Romands

To run the script provided here, make sure to download the GIST, and install the requirements for LingRex. Then, simply type:

$ python code.py

LinguList

LinguList

Feature-Based Alignment Analyses with LingPy and CLTS (1)

Requirements (can all be installed with PIP)

• pyclts
• tabulate

Run code

LinguList

Feature-Based Alignment Analyses with LingPy and CLTS (2)

Requirements (can all be installed with PIP)

• lingpy
• pyclts

Run code

LinguList

Automated Mapping of Metadata to Concepticon

See the blog at https://calc.hypotheses.org for details.

To run the code, just type:

$ python code.py

LinguList

How to work with WALS data in CLDF

This code example accomanies a blog post published as part of the blog "Computer-Assisted Langauge Comparison in Practice" (https://calc.hypotheses.org).

In order to get started, install the WALS dataset in CLDF format with the help of pip (ideally, make sure to use a fresh virtual environment!).

$ pip install -e git+https://github.com/cldf-datasets/wals.git@v2020#egg=cldfbench_wals

Once this has been done, you should be able to run the script wals.py by simply typing:

LinguList

Code accompanying "Mapping Multi-SimLex to Concepticon"

This code accompanies the blog post "Mapping Multi-SimLex to Concepticon (https://calc.hypotheses.org/2684).

To run the code, you best install cldfbench with pip in a fresh virtual environment.

Then download the Multi-SimLex data at: https://multisimlex.com/data/translation.csv and run the first script:

$ python test.py

LinguList

Waterman-Eggert algorithm for Sentence Alignment

This is a short patch for LingPy's Waterman-Eggert implementation and an illustration how the algorithm can be used to carry out the alignment of two sentences provided in phonetic transcription in linguistics. To test this script, make sure to install LingPy and run the following in your terminal:

$ python code.py

LinguList

install:
	git clone https://github.com/intercontinental-dictionary-series/ids.git
	git clone https://github.com/lexibank/northeuralex.git
	pip install cltoolkit

colexifications:
	python colexifications.py