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Fix indentation errors
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@ -9,51 +9,53 @@
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p A full example can be found #[a(href="https://github.com/" + SOCIAL.github + "/spaCy/blob/master/examples/matcher_example.py") here].
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+table(["Usage", "Description"])
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+row
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+cell #[code.lang-python nlp(doc)]
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+cell As part of annotation pipeline.
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+row
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+cell #[code.lang-python nlp(doc)]
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+cell As part of annotation pipeline.
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+row
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+cell #[code.lang-python nlp.matcher(doc)]
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+cell Explicit invocation.
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+row
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+cell #[code.lang-python nlp.matcher(doc)]
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+cell Explicit invocation.
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+row
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+cell #[code.lang-python nlp.matcher.add(u'FooCorp', u'ORG', {}, [[{u'ORTH': u'Foo'}]])]
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+cell Add a pattern to match.
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+row
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+cell #[code.lang-python nlp.matcher.add(u'FooCorp', u'ORG', {}, [[{u'ORTH': u'Foo'}]])]
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+cell Add a pattern to match.
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+section("matcher-init")
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+h(3, "matcher-init") __init__(self, vocab, patterns)
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+table(["Name", "Type", "Description"])
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+row
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+cell vocab
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+cell #[code.lang-python spacy.vocab.Vocab]
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+cell Reference to the shared vocabulary object.
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+row
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+cell patterns
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+cell #[code {entity_key: (etype, attrs, specs)}]
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+cell.
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Initial patterns to match. See #[code Matcher.add]
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+table(["Name", "Type", "Description"])
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+row
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+cell vocab
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+cell #[code.lang-python spacy.vocab.Vocab]
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+cell Reference to the shared vocabulary object.
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+row
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+cell patterns
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+cell #[code {entity_key: (etype, attrs, specs)}]
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+cell.
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Initial patterns to match. See #[code Matcher.add]
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+section("matcher-add")
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+h(3, "matcher-add") add(self, entity_key, etype, attrs, specs)
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+table(["Name", "Type", "Description"])
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+row
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+cell entity_key
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+cell unicode or int
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+cell Your arbitrary ID string (or its integer encoding)
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+row
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+cell etype
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+cell unicode or int
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+cell A pre-registered entity type, e.g. u'PERSON', u'ORG', etc.
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+row
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+cell attrs
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+cell #[code dict]
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+cell Placeholder for future support of entity attributes.
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+row
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+cell specs
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+cell #[code [[{int: unicode}]]]
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+cell A list of surface forms, where each surface form is defined as a list of token definitions, and each token definition is a dictionary mapping attribute IDs to attribute values.
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+table(["Name", "Type", "Description"])
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+row
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+cell entity_key
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+cell unicode or int
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+cell Your arbitrary ID string (or its integer encoding)
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+row
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+cell etype
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+cell unicode or int
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+cell A pre-registered entity type, e.g. u'PERSON', u'ORG', etc.
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+row
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+cell attrs
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+cell #[code dict]
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+cell Placeholder for future support of entity attributes.
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+row
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+cell specs
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+cell #[code [[{int: unicode}]]]
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+cell A list of surface forms, where each surface form is defined as a list of token definitions, and each token definition is a dictionary mapping attribute IDs to attribute values.
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+section("matcher-saveload")
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+h(3, "matcher-saveload")
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