Generates lemma files for vocabsieve
Project description
Overview
Gets a wikipedia dump for a language and creates a lemma table from it for use in vocabsieve. Uses spacy as the lemmatiser but also provides results from simplemma for comparison.
Project is AGPL3+ licensed as it re-uses code from gogadget.
Needs CUDA toolkit installed and an NVIDIA GPU available: https://developer.nvidia.com/cuda-toolkit-archive
On Windows, you will need to install Visual Studio first. I also needed to manually add the following to my PATH: C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.42.34433\bin\Hostx64\x64
Running
Installation instructions assume the use of uv to automatically deal with package isolation but will work equally well with a pip venv (if you prefer).
No need to download any extra files. The script will automatically grab the wikipedia articles for your chosen language.
Install from Pypi
uv tool install lemma-from-wiki
Standard analysis
lemmafromwiki -l "language code" -n "number of articles to process"
Return only differences from simplemma
lemmafromwiki -l "language code" -n "number of articles to process" --diff
Getting help
lemmafromwiki --help
Getting help (short version)
lemmafromwiki
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