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Update first matcher example and match_id (resolves #1989)

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ines 2018-02-17 11:57:38 +01:00
parent 7d5c720fc3
commit 612c79a4f5
1 changed files with 15 additions and 4 deletions
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19
website/usage/_linguistic-features/_rule-based-matching.jade
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@ -54,10 +54,21 @@ p
p p
| The matcher returns a list of #[code (match_id, start, end)] tuples – in | The matcher returns a list of #[code (match_id, start, end)] tuples – in
| this case, #[code [('HelloWorld', 0, 2)]], which maps to the span | this case, #[code [('15578876784678163569', 0, 2)]], which maps to the
| #[code doc[0:2]] of our original document. Optionally, we could also | span #[code doc[0:2]] of our original document. The #[code match_id]
| choose to add more than one pattern, for example to also match sequences | is the #[+a("/usage/spacy-101#vocab") hash value] of the string ID
| without punctuation between "hello" and "world": | "HelloWorld". To get the string value, you can look up the ID
| in the #[+api("stringstore") #[code StringStore]].
+code.
for match_id, start, end in matches:
string_id = nlp.vocab.strings[match_id] # 'HelloWorld'
span = doc[start:end] # the matched span
p
| Optionally, we could also choose to add more than one pattern, for
| example to also match sequences without punctuation between "hello" and
| "world":
+code. +code.
matcher.add('HelloWorld', None, matcher.add('HelloWorld', None,