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Bug fix on the documentation
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@ -78,7 +78,7 @@ particularly egregious:
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>>> nlp = spacy.en.English()
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>>> nlp = spacy.en.English()
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>>> tokens = nlp("‘Give it back,’ he pleaded abjectly, ‘it’s mine.’",
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>>> tokens = nlp("‘Give it back,’ he pleaded abjectly, ‘it’s mine.’",
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tag=True, parse=False)
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tag=True, parse=False)
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>>> print(''.join(tok.string.upper() if tok.pos == ADV else tok.string) for t in tokens)
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>>> print(''.join(tok.string.upper() if tok.pos == ADV else tok.string for tok in tokens))
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‘Give it BACK,’ he pleaded ABJECTLY, ‘it’s mine.’
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‘Give it BACK,’ he pleaded ABJECTLY, ‘it’s mine.’
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@ -144,7 +144,7 @@ cosine metric:
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>>> from numpy import dot
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>>> from numpy import dot
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>>> from numpy.linalg import norm
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>>> from numpy.linalg import norm
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>>> cosine = lambda v1, v2: dot(v1, v2) / (norm(v1), norm(v2))
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>>> cosine = lambda v1, v2: dot(v1, v2) / (norm(v1), norm(v2))
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>>> words = [w for w in nlp.vocab if w.is_lower]
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>>> words = [w for w in nlp.vocab if w.lower]
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>>> words.sort(key=lambda w: cosine(w, pleaded))
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>>> words.sort(key=lambda w: cosine(w, pleaded))
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>>> words.reverse()
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>>> words.reverse()
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>>> print('1-20', ', '.join(w.orth_ for w in words[0:20]))
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>>> print('1-20', ', '.join(w.orth_ for w in words[0:20]))
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