LemmInflect uses a dictionary approach to lemmatize English words and inflect them into forms specified by a user supplied Universal Dependencies or Penn Treebank 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.
import spacy import lemminflect nlp = spacy.load('en_core_web_sm') doc = nlp('I am testing this example.') doc._.lemma() # 'test' doc._.inflect('NNS') # 'examples'
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