facebookresearch / stopes
A library for preparing data for machine translation research (monolingual preprocessing, bitext mining, etc.) built by the FAIR NLLB team.
Why this job: works in the areas we cover, but does not say which job it does
What it does
As part of the FAIR No Language Left Behind (NLLB) (Paper, Website, Blog) project to drive inclusion through machine translation, a large amount of data was processed to create training data. We provide the libraries and tools we used to:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 315
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 65% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 40% closed
- 26 still open
- Pull requests
- 65 merged
- 64 waiting
- Releases
- None
- Never published
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More: languages, topics and project record
Languages
- Python 65%
- Jupyter Notebook 32%
- TypeScript 1%
- JavaScript 1%
Topics
- dataset
- dataset-generation
- machine-learning
- nmt
- translation
- machine-translation
- machine-translation-data-processing
Project record
- JobOther AI tools
- StatusListed
- Commits93
- Forks48
- Watching17
- Stars in 28 days0
- CreatedJun 2, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026