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It is specifically focused on providing tools and techniques that are useful for processing languages that are very resource-poor. The library is also useful as a foundation for building more advanced language processing techniques. The library currently only provides a basic set of algorithms, but the goal is to include many more in the future.\n\n## Installation\n\nMachine is available as a pip package:\n\n```\npip install sil-machine\n```\n\n## Tutorials\n\nIf you would like to find out more about how to use Machine, check out the tutorial Jupyter notebooks:\n\n- [Tokenization](https://githubtocolab.com/sillsdev/machine.py/blob/main/samples/tokenization.ipynb)\n- [Text Corpora](https://githubtocolab.com/sillsdev/machine.py/blob/main/samples/corpora.ipynb)\n- [Word Alignment](https://githubtocolab.com/sillsdev/machine.py/blob/main/samples/word_alignment.ipynb)\n- [Machine Translation](https://githubtocolab.com/sillsdev/machine.py/blob/main/samples/machine_translation.ipynb)\n- [Paratext/USFM Processing](https://githubtocolab.com/sillsdev/machine.py/blob/main/samples/paratext_usfm.ipynb)","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsillsdev%2Fmachine.py","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsillsdev%2Fmachine.py","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsillsdev%2Fmachine.py/lists"}