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docs: Use actual constants from parts_of_speech

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* It turns out `ADVERB` is not in `parts_of_speech`

Signed-off-by: mr.Shu <mr@shu.io>
This commit is contained in:
mr.Shu 2015-01-25 18:10:28 +01:00
parent 48447d7355
commit 202f74aeff
1 changed files with 4 additions and 4 deletions
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docs/source/index.rst
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@ -184,14 +184,14 @@ adverbs to. Recall that our previous adverb highlighting function looked like
this:
>>> import spacy.en
>>> from spacy.parts_of_speech import ADVERB
>>> from spacy.parts_of_speech import ADV
>>> # Load the pipeline, and call it with some text.
>>> nlp = spacy.en.English()
>>> tokens = nlp("‘Give it back,’ he pleaded abjectly, ‘it’s mine.’",
tag=True, parse=True)
>>> output = ''
>>> for tok in tokens:
... output += tok.string.upper() if tok.pos == ADVERB else tok.string
... output += tok.string.upper() if tok.pos == ADV else tok.string
... output += tok.whitespace
>>> print(output)
‘Give it BACK,’ he pleaded ABJECTLY, ‘it’s mine.’
@ -206,9 +206,9 @@ problematic, given our starting assumptions:
>>> from numpy import dot
>>> from numpy.linalg import norm
>>> import spacy.en
>>> from spacy.parts_of_speech import ADVERB, VERB
>>> from spacy.parts_of_speech import ADV, VERB
>>> def is_bad_adverb(token, target_verb, tol):
... if token.pos != ADVERB
... if token.pos != ADV
... return False
... elif toke.head.pos != VERB:
... return False