This page presents Lingualibre.org's statistics on a per languages basis with:
- Language name (Wikidata)
- Number of native speakers worldwide. (Wikidata)
- Speakers : number of Lingualibre speakers, aka voices. (Lingualibre)
- Gender split : number of females, other (non-binary and undefined), males voices. (Lingualibre)
- Unique words vs recordings ratio. (Lingualibre)
- Recordings gender split: number of females, other (non-binary and undefined), males recordings. (Lingualibre)
This Lingualibre Languages Gallery is the fruits of 2 years of periodic research and developement. It started with late 2021 writing of Help:SPARQL which aimed to explore per language quantities and gender coverage. Obscure SPARQL queries confirmed our suspicions, the major geographic and gender biaises found raised the need for an human friendly, searchable Languages gallery able to communicate those findings to both the general public and Wikimedia policies makers.
Technically, this gallery stands upon data consolidation pipeline and online publication name Sparql2data. Later Sparql refining was lead by Elfix, while responsive html/css code was recycled from Common Voice Project, with which further collaboration would be welcome.
Sorted by involvement, the following Wikimedian users directly contributed to this project : Yug, Elfix, VIGNERON, Poslovitch, Envel.
Further statistic visualisation can be developed based on this easy-to-maintain github demonstrator.
Web page is an open source, open licence Wikimedia sub-project dedicated to supporting language diversity. Stack :
- HTML
- CSS
- VueJS
See footer of index.html and LICENSE MPL.