toolbox for various tasks in the area of vector space models of computational linguistic
Project description
VSMlibs helps to perform a range of tasks within a framework of vector space models of computational linguistics.
What functionality is included
creating word embeddings by counting and neural-based methods, including sub-word-level models
importing and exporting from a banch of popular formats of word embeddings and providing unified access to word-vectors
perfroming a range of downstream tasks / benchmarks on embeddings
visualising embeddings
How do I get set up?
pip3 install vsmlib for stable version
pip3 install git+https://github.com/undertherain/vsmlib.git for latest dev version
Python 3.5 or later is required
📖 Documentation
vsmlib overview and end-to-end examples. |
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The detailed reference for vsmlib API. |
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How to contribute to the vsmlib project and code base. |
Who do I talk to?
Issue tracker is the way to go
Release history Release notifications | RSS feed
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