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Project description

# Spacy wordnet annotator

`spacy-wordnet` creates annotations that easily allow the use of wordnet
and [wordnet domains]( by using
the [nltk wordnet interface](

## Install

pip install spacy-wordnet

## Requirements
Some nltk data must be installed before using this package

python -m nltk.downloader wordnet
python -m nltk.downloader omw


## Usage


import spacy

from spacy_wordnet.wornet_annotator import WordnetAnnotator

# Load an spacy model (supported models are "es" and "en")
nlp = spacy.load('en')
nlp.add_pipe(WordnetAnnotator(nlp.lang), after='tagger')
token = nlp('prices')[0]

# wordnet object link spacy token with nltk wordnet interface by giving acces to
# synsets and lemmas

# And automatically tags with wordnet domains


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