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

Project description

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Vecto helps to perform a range of tasks within the 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 number of popular formats of word embeddings and providing unified access to word vectors;

  • perfroming a range of downstream tasks / benchmarks;

  • visualising embeddings.

How do I get set up?

  • pip3 install vecto for stable version

  • pip3 install git+ for latest dev version

  • Python 3.6 or later is required

📖 Documentation


vecto overview and end-to-end examples.

API Reference

The detailed reference for vecto API.


How to contribute to the vecto project and code base.

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