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