diff --git a/spacy/gold.pyx b/spacy/gold.pyx
index e0ba26a04..569979a5f 100644
--- a/spacy/gold.pyx
+++ b/spacy/gold.pyx
@@ -532,7 +532,7 @@ cdef class GoldParse:
                         self.labels[i] = deps[i2j_multi[i]]
                     # Now set NER...This is annoying because if we've split
                     # got an entity word split into two, we need to adjust the
-                    # BILOU tags. We can't have BB or LL etc.
+                    # BILUO tags. We can't have BB or LL etc.
                     # Case 1: O -- easy.
                     ner_tag = entities[i2j_multi[i]]
                     if ner_tag == "O":
diff --git a/spacy/matcher/phrasematcher.pyx b/spacy/matcher/phrasematcher.pyx
index 22ce8831a..68821a085 100644
--- a/spacy/matcher/phrasematcher.pyx
+++ b/spacy/matcher/phrasematcher.pyx
@@ -127,7 +127,7 @@ cdef class PhraseMatcher:
               and self.attr not in (DEP, POS, TAG, LEMMA):
                 string_attr = self.vocab.strings[self.attr]
                 user_warning(Warnings.W012.format(key=key, attr=string_attr))
-            tags = get_bilou(length)
+            tags = get_biluo(length)
             phrase_key = <attr_t*>mem.alloc(length, sizeof(attr_t))
             for i, tag in enumerate(tags):
                 attr_value = self.get_lex_value(doc, i)
@@ -230,7 +230,7 @@ cdef class PhraseMatcher:
         return "matcher:{}-{}".format(string_attr_name, string_attr_value)
 
 
-def get_bilou(length):
+def get_biluo(length):
     if length == 0:
         raise ValueError(Errors.E127)
     elif length == 1:
diff --git a/website/docs/api/annotation.md b/website/docs/api/annotation.md
index 366e15980..a5bb30b6f 100644
--- a/website/docs/api/annotation.md
+++ b/website/docs/api/annotation.md
@@ -510,7 +510,7 @@ described in any single publication. The model is a greedy transition-based
 parser guided by a linear model whose weights are learned using the averaged
 perceptron loss, via the
 [dynamic oracle](http://www.aclweb.org/anthology/C12-1059) imitation learning
-strategy. The transition system is equivalent to the BILOU tagging scheme.
+strategy. The transition system is equivalent to the BILUO tagging scheme.
 
 ## Models and training data {#training}