diff --git a/spacy/tests/doc/test_noun_chunks.py b/spacy/tests/lang/en/test_noun_chunks.py
similarity index 73%
rename from spacy/tests/doc/test_noun_chunks.py
rename to spacy/tests/lang/en/test_noun_chunks.py
index f046dfa20..2bfe041f9 100644
--- a/spacy/tests/doc/test_noun_chunks.py
+++ b/spacy/tests/lang/en/test_noun_chunks.py
@@ -1,15 +1,15 @@
 # coding: utf-8
 from __future__ import unicode_literals
 
-from ...attrs import HEAD, DEP
-from ...symbols import nsubj, dobj, amod, nmod, conj, cc, root
-from ...syntax.iterators import english_noun_chunks
-from ..util import get_doc
+from ....attrs import HEAD, DEP
+from ....symbols import nsubj, dobj, amod, nmod, conj, cc, root
+from ....lang.en.syntax_iterators import SYNTAX_ITERATORS
+from ...util import get_doc
 
 import numpy
 
 
-def test_doc_noun_chunks_not_nested(en_tokenizer):
+def test_en_noun_chunks_not_nested(en_tokenizer):
     text = "Peter has chronic command and control issues"
     heads = [1, 0, 4, 3, -1, -2, -5]
     deps = ['nsubj', 'ROOT', 'amod', 'nmod', 'cc', 'conj', 'dobj']
@@ -21,7 +21,7 @@ def test_doc_noun_chunks_not_nested(en_tokenizer):
         [HEAD, DEP],
         numpy.asarray([[1, nsubj], [0, root], [4, amod], [3, nmod], [-1, cc],
                        [-2, conj], [-5, dobj]], dtype='uint64'))
-    tokens.noun_chunks_iterator = english_noun_chunks
+    tokens.noun_chunks_iterator = SYNTAX_ITERATORS['noun_chunks']
     word_occurred = {}
     for chunk in tokens.noun_chunks:
         for word in chunk: