Package: estnltk
EstNLTK -- Open source tools for Estonian natural language processingEstNLTK provides common natural language processing functionality such as paragraph, sentence and word tokenization,
morphological analysis, named entity recognition, etc. for the Estonian language.The project is funded by EKT (Eesti Keeletehnoloogia Riiklik Programm).This package contains EstNLTK's basic linguistic analysis, system and database tools:Textclass with the Estonian NLP pipeline;tokenization tools: word, sentence and paragraph tokenization; clause segmentation;morphology tools: morphological analysis and disambiguation, spelling correction, morphological synthesis and syllabification, HFST based analyser, GT and UD converters;information extraction tools: addresses tagger, named entity recognizer, temporal expression tagger; tools for rule based and grammar based fact extraction;experimental taggers: verb chain detector, noun phrase chunker, adjective phrase tagger;syntactic analysis tools: preprocessing for syntactic analysis, VislCG3 and Maltparser based syntactic parsers;Estonian Wordnet and Collocation-Net;web taggers -- such as bert embeddings web tagger, neural named entity recognition web tagger, stanza syntax web tagger and stanza ensemble syntax web tagger;corpus importing tools -- tools for importing data from large Estonian corpora, such as the Reference Corpus or the National Corpus of Estonia;system taggers -- regex tagger, disambiguator, atomizer, merge tagger etc;utils for downloading additional resources (e.g. model files required by taggers);Postgres database tools;Version 1.7InstallationEstNLTK is available for osx, windows-64, and linux-64, and for python versions 3.8 to 3.11.
You can install the latest version via PyPI:pip install estnltk==1.7.2Alternatively, you can install EstNLTK viaAnaconda. Installation steps with conda:create a conda environmentwith python 3.9, for instance:conda create -n py39 python=3.9activate the environment, for instance:conda activate py39install EstNLTK with the command:conda install -c estnltk -c conda-forge estnltk=1.7.2Note: for using some of the tools in estnltk, you also need to have Java installed in your system. We recommend using Oracle Javahttp://www.oracle.com/technetwork/java/javase/downloads/index.html, although alternatives such as OpenJDK (http://openjdk.java.net/) should also work.Using on Google ColabYou can install EstNLTK onGoogle Colabenvironment via command:!pip install estnltk==1.7.2DocumentationEstNLTK's tutorials come in the form ofjupyter notebooks.Starting point of tutorialsAdditional educational materials on EstNLTK are available on web pages of an NLP course taught at the University of Tartu:https://github.com/d009/EstNLP(in Estonian)Note: if you have trouble viewing jupyter notebooks in github (you get an error messageSorry, something went wrong. Reload?at loading a notebook), then try to open notebooks with the help ofhttps://nbviewer.jupyter.orgSourceThe source of the last release is available at themain branch.Changelog is availablehere.CitationIn case you use EstNLTK in your work, please cite us as follows:@InProceedings{laur-EtAl:2020:LREC,
  author    = {Laur, Sven  and  Orasmaa, Siim  and  Särg, Dage  and  Tammo, Paul},
  title     = {EstNLTK 1.6: Remastered Estonian NLP Pipeline},
  booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference},
  month     = {May},
  year      = {2020},
  address   = {Marseille, France},
  publisher = {European Language Resources Association},
  pages     = {7154--7162},
  url       = {https://www.aclweb.org/anthology/2020.lrec-1.884}
}License: GNU General Public License v2.0(C) University of Tartu