Logo Lanfrica

lexibank/baf2

Domaine:

natural language processing

Type de record:

dataset
Créateur:
lex
Hôte:
Bangime and Friends 2 # CLDF dataset underlying the study "First steps towards the detection of contact layers in Bangime: a multi-disciplinary, computer-assisted approach" from 2022 ## How to cite If you use these data please cite - the original source > Hantgan, Abbie and Babiker, Hiba and List, Johann-Mattis (2022): First steps towards the detection of contact layers in Bangime: a multi-disciplinary, computer-assisted approach [version 2; peer review: 2 approved]. Open Research Europe 2022, 2:10. - the derived dataset using the DOI of the particular released version you were using ## Description This dataset is licensed under a CC-BY-4.0 license Available online at digling.org Conceptlists in Concepticon: - Hantgan-2022-348 ## Notes # Analysis of Bangime and Friends (2) The data in EDICTOR can be accessed from digling.org. To run the analysis, make sure to install all requirements: ```shell pip install -e ".[full]" ``` Also make sure to clone all repositories of Concepticon, Glottolog, and CLTS: ```shell mkdir repos cd repos git clone github.com git clone github.com git clone github.com ``` The data is annotated with the help of the EDICTOR tool, where you can also inspect it using the link digling.org. To download the most recent version of the data programmatically, type: ```shell cldfbench download lexibank_baf2.py ``` In order to convert the updated data to cldf, run: ```shell cldfbench lexibank.makecldf lexibank_baf2.py --concepticon-version=v3.2.0 --glottolog-version=v5.0 --clts-version=v2.3.0 ``` In order to run the cognate and borrowing detection analysis, run: ```shell cldfbench baf2.borrowing ``` This analysis will create a file `wordlist.tsv` in the folder `analysis`. Note that the analysis itself was only done once in the begi …

Languages

Licenses