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=== What happens to the recordings? === | === What happens to the recordings? === | ||
| − | + | LinguaLibre stores data about locutors and the recordings, but the actual recordings are stored on Wikimedia Commons. As this is a Wikimedia Foundation project, the recordings can be easily and freely reused by contributors to illustrate articles on Wikipedias, Wiktionaries and others. To ensure resiliency, the files on Wikimedia Commons are replicated in multiple datacenters around the world (links to learn more?), and we also periodically copy and compile the recordings into datasets. These datasets are made available to everyone and are notably used by scientists and developers working on natural language processing, e.g. speech-to-text software. | |
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Revision as of 10:35, 8 December 2021
Welcome to Lingua Libre, the participative linguistic media library of Wikimedia France.
Latest recordings
Keep linguistic diversity alive and preserve the fragile treasure of orality by recording the words, phrases and proverbs of your language.
You will contribute to forming a unique multilingual audiovisual corpus and improve the visibility and vitality of your language as you speak or sign it.
You will interact with a community of individuals around the world who are sensitive to regional accents, sign languages, minority languages, and their diffusion.
The words, phrases, songs collected thanks to you will improve some of the Wikimedia projects (such as Wikipedia and the Wiktionary) and will help specialists in their work.
– Vassilis Alexakis
- Atikamekw
- Catalan
- French
- Swahili
- Afrikaans
- Korean
- Odia
- And more than 100 other languages
What happens to the recordings?
LinguaLibre stores data about locutors and the recordings, but the actual recordings are stored on Wikimedia Commons. As this is a Wikimedia Foundation project, the recordings can be easily and freely reused by contributors to illustrate articles on Wikipedias, Wiktionaries and others. To ensure resiliency, the files on Wikimedia Commons are replicated in multiple datacenters around the world (links to learn more?), and we also periodically copy and compile the recordings into datasets. These datasets are made available to everyone and are notably used by scientists and developers working on natural language processing, e.g. speech-to-text software.
