mirror of https://github.com/explosion/spaCy.git
Fix typos in PhraseMatcher docs
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@ -15,7 +15,7 @@ p Create the rule-based #[code PhraseMatcher].
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+aside-code("Example").
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from spacy.matcher import PhraseMatcher
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matcher = Matcher(nlp.vocab, max_length=6)
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matcher = PhraseMatcher(nlp.vocab, max_length=6)
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+table(["Name", "Type", "Description"])
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+row
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@ -41,9 +41,9 @@ p Create the rule-based #[code PhraseMatcher].
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p Find all token sequences matching the supplied patterns on the #[code Doc].
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+aside-code("Example").
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from spacy.matcher import Matcher
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from spacy.matcher import PhraseMatcher
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matcher = Matcher(nlp.vocab)
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matcher = PhraseMatcher(nlp.vocab)
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matcher.add('OBAMA', None, nlp(u"Barack Obama"))
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doc = nlp(u"Barack Obama lifts America one last time in emotional farewell")
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matches = matcher(doc)
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