Comments (1)
Very good question. Any work done by the Argos Translate project towards training models should be considered under the same license as the code (either MIT or CC0). When training models for the package index we avoid some of the data on OPUS that is under non-commercial restrictions, some of the data used is under Creative Commons licenses but a lot of it is created by academics with citation information but no explicit license.
I think training a ML model on publicly available data should be fair use, but I'm not a lawyer. The strategy has been to just list all of the data used in the README with any available citiations/licenses for transparency and then release models with no restrictions.
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Related Issues (20)
- The difficulty of generating a proper LLM for translation from web scraping...
- Feature Request: Allow installing without `nvidia-cuda` packages. HOT 3
- Pipe mode, line-by-line (stdin/stdout)
- Support for tamil language
- no pip install
- Does not support Python 3.12 HOT 1
- How to switch usage to GPU instead of CPU? HOT 1
- BUG: pip install argostranslate does not work on Python 3.12 HOT 3
- Problem in Greek Translation
- How to use custom model?
- Stanza version >=1.1.1 breaks a few langauges HOT 2
- Support for Brazilian Portuguese
- [BUG] SIGSEGV
- Title
- Upgrade SentencePiece for Windows Support on Python 3.12+ HOT 2
- Translation of pre-split and pre-tokenized sentences
- Translation from Spanish -> English missing words
- (feature request) a way to pause and continue a translation process that takes days to execute; plus a progress indicator
- Installation procedure has chronic crashes due to bulky files. Crash recovery fails. Manual procedure needed.
- KeyError: 'ctranslate2' on installation attempt
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