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Update universe.json [ci skip]
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@ -1562,7 +1562,7 @@
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},
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{
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"id": "pyInflect",
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"slogan": "A python module for word inflections",
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"slogan": "A Python module for word inflections",
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"description": "This package uses the [spaCy 2.0 extensions](https://spacy.io/usage/processing-pipelines#extensions) to add word inflections to the system.",
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"github": "bjascob/pyInflect",
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"pip": "pyinflect",
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@ -1582,6 +1582,29 @@
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"category": ["pipeline"],
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"tags": ["inflection"]
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},
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{
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"id": "lemminflect",
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"slogan": "A Python module for English lemmatization and inflection",
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"description": "LemmInflect uses a dictionary approach to lemmatize English words and inflect them into forms specified by a user supplied [Universal Dependencies](https://universaldependencies.org/u/pos/) or [Penn Treebank](https://www.ling.upenn.edu/courses/Fall_2003/ling001/penn_treebank_pos.html) tag. The library works with out-of-vocabulary (OOV) words by applying neural network techniques to classify word forms and choose the appropriate morphing rules. The system acts as a standalone module or as an extension to spaCy.",
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"github": "bjascob/LemmInflect",
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"pip": "lemminflect",
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"thumb": "https://raw.githubusercontent.com/bjascob/LemmInflect/master/docs/img/icons8-citrus-80.png",
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"code_example": [
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"import spacy",
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"import lemminflect",
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"",
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"nlp = spacy.load('en_core_web_sm')",
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"doc = nlp('I am testing this example.')",
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"doc[2]._.lemma() # 'test'",
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"doc[4]._.inflect('NNS') # 'examples'"
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],
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"author": "Brad Jascob",
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"author_links": {
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"github": "bjascob"
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},
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"category": ["pipeline"],
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"tags": ["inflection", "lemmatizer"]
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},
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{
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"id": "blackstone",
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"title": "Blackstone",
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