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README.md

Hungarian models for spaCy

This repository contains the building blocks and the releases of Hungarian models for spaCy.

Releases

Date Model Version spaCy Features Size Memory License Info
2019-01-04 hu_core_ud_lg 0.1.0 >2.0.0, <2.1.0 Word vectors, Brown clusters, Token frequencies, Sentencizer, PoS Tagger, Lemmatizer, Dependency parser 1.3G 2.5G Creative Commons License
2019-06-02 hu_core_ud_lg 0.2.0 >=2.1.0, <2.2.0 Word vectors, Brown clusters, Token frequencies, Sentencizer, PoS Tagger, Lemmatizer, Dependency parser 1.3G 2.5G Creative Commons License
2019-09-26 hu_core_ud_lg 0.3.0 >=2.1.8, <2.2.0 Word vectors, Brown clusters, Token frequencies, Sentencizer, PoS Tagger, Lemmatizer, Dependency parser, NER 1.3G 2.5G Creative Commons License
2019-10-03 hu_core_ud_lg 0.3.1 >=2.2.0, <2.3.0 Word vectors, Brown clusters, Token frequencies, Sentencizer, PoS Tagger, Lemmatizer, Dependency parser, NER 1.3G 2.5G Creative Commons License

Install

pip install https://github.com/oroszgy/spacy-hungarian-models/releases/download/hu_core_ud_lg-0.3.1/hu_core_ud_lg-0.3.1-py3-none-any.whl  

Usage

To load a model, import the model's package directly and call its load() method with no arguments.

import hu_core_ud_lg

nlp = hu_core_ud_lg.load()
doc = nlp('Csiribiri csiribiri zabszalma - négy csillag közt alszom ma.')

For detailed documentation and tutorials, check spaCy docs.

Development

Issuing make all fetches all the resources needed and builds a release.

Changelog

  • 2019-10-03 Fixing compatibility issue with spaCy 2.2
  • 2019-09-26 Added named entity recognition
  • 2019-06-02 Made the pipeline compatible with spaCy 2.1, minor sentence segmentation improvements
  • 2019-01-04 UD corpus based core pipeline release for spaCy 2.x
  • 2017-06-11 Experimental model releases for spaCy 1.x
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