diff --git a/website/docs/tutorials/rule-based-matcher.jade b/website/docs/tutorials/rule-based-matcher.jade
index 8c8949631..53d76e145 100644
--- a/website/docs/tutorials/rule-based-matcher.jade
+++ b/website/docs/tutorials/rule-based-matcher.jade
@@ -32,7 +32,7 @@ p.u-text-large spaCy features a rule-matching engine that operates over tokens.
     doc = nlp(u"I prefer Siri to Google Now.")
     matches = matcher(doc)
     for ent_id, label, start, end in matches:
-        print(nlp.strings[ent_id], nlp.strings[label], doc[start : end].text)
+        print(nlp.vocab.strings[ent_id], nlp.vocab.strings[label], doc[start : end].text)
         entity = matcher.get_entity(ent_id)
         print(entity)