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toolbox for various tasks in the area of vector space models of computational linguistic

Project description

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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

Tutorial vsmlib overview and end-to-end examples.
API Reference The detailed reference for vsmlib API.
Contribute How to contribute to the vsmlib project and code base.

Who do I talk to?

  • Issue tracker is the way to go

Project details


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