EstNLTK neural -- EstNLTK's linguistic analysis based on neural models

This package contains EstNLTK's linguistic analysis tools that use neural models:

• neural morphological tagger (disambiguator);
• bert embeddings tagger;
• stanza syntax tagger and stanza ensemble syntax tagger;

The EstNLTK project is funded by EKT (Eesti Keeletehnoloogia Riiklik Programm).

Installation

EstNLTK-neural is available as a PyPI wheel:

pip install estnltk_neural==1.7.0rc0

And as an Anaconda package:

conda install -c estnltk -c conda-forge estnltk_neural=1.7.0rc0

Supported Python versions: 3.7+

Neural models

Neural models are not distributed with the package, and must be downloaded separately from the repository https://entu.keeleressursid.ee/entity/folder/7510. Neural models for syntactic parsing can be downloaded from https://entu.keeleressursid.ee/entity/folder/9785 (see also the tutorial of syntactic parsers).

Documentation

Updating tutorials is currently work-in-progress. You can find old tutorials here.

Source

The source of the package can be found at branch devel_1.6_split. The main repository is https://github.com/estnltk/estnltk

License: GNU General Public License v2.0

(C) University of Tartu