how to use spacy lemmatizer to get a word into basic form

Question

I am new to spacy and I want to use its lemmatizer function, but I don't know how to use it, like I into strings of word, which will return the string with the basic form the words.

Examples:

• 'words'=> 'word'
• 'did' => 'do'

Thank you.

Answer 1

Previous answer is convoluted and can't be edited, so here's a more conventional one.

# make sure your downloaded the english model with "python -m spacy download en"

import spacy
nlp = spacy.load('en')

doc = nlp(u"Apples and oranges are similar. Boots and hippos aren't.")

for token in doc:
    print(token, token.lemma, token.lemma_)

Output:

Apples 6617 apples
and 512 and
oranges 7024 orange
are 536 be
similar 1447 similar
. 453 .
Boots 4622 boot
and 512 and
hippos 98365 hippo
are 536 be
n't 538 not
. 453 .

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