This repository contains the python scripts of the CALC-workflow and the tutorial. The CALC-workflow was presented at Workshop: Workshop : Recent Advances in Comparative Linguistic Reconstruction (London, UK), therefore, the presentation slides can be found in the workshop> slides folder.
You can find data in the workflow folder.
| File | Stage |
|---|---|
D_Chen_subset.tsv |
Raw data to machine readable data |
D_Chen_partial.tsv |
Machine readable data to partial cognate |
D_Chen_structure.tsv |
Partial cognate to template-based alignment |
D_Chen_crossids.tsv |
Template-based alignment to strict cognates |
D_Chen_patterns.tsv |
Strict cognates to Sound correspondence pattern |
| File | Supplementary |
|---|---|
D_Doculects.tsv |
The metadata of the selected languages |
profile2.tsv |
An example of orthography profile for the template-based alignment |
You can find all the python scripts in the workflow folder.
| Python script | Functions | Manuscript |
|---|---|---|
1_lifting.py |
From raw data to tokenized data | 3.2.1 |
2_partial.py |
From tokenized data to cognate sets | 3.2.2 |
3_alignment.py |
From cognate sets to alignments | 3.2.3 |
4_crosssemantic.py |
From alignments to cross-semantic cognates | 3.2.4 |
5_correspondence.py |
From ross-semantic cognates to sound correspondence patterns | 3.2.5 |
P_validate.py |
The python script to generate a distance matrix | Discussion |
You can find handout.pdf in the workshop > handout folder.
The presenation slide is in HTML format, please find slides.html in the workshop > slides folder.