diff --git a/gensim/models/phrases.py b/gensim/models/phrases.py
index 973eee9be5..43b93001b3 100644
--- a/gensim/models/phrases.py
+++ b/gensim/models/phrases.py
@@ -104,6 +104,7 @@ def _is_single(obj):
     is a corpus if it is an iterable of documents.
     """
     obj_iter = iter(obj)
+    temp_iter = obj_iter
     try:
         peek = next(obj_iter)
         obj_iter = it.chain([peek], obj_iter)
@@ -113,9 +114,12 @@ def _is_single(obj):
     if isinstance(peek, string_types):
         # It's a document, return the iterator
         return True, obj_iter
+    if temp_iter == obj:
+        # Checking for iterator to the object
+        return False, obj_iter
     else:
         # If the first item isn't a string, assume obj is a corpus
-        return False, obj_iter
+        return False, obj
 
 
 class SentenceAnalyzer(object):
diff --git a/gensim/test/test_phrases.py b/gensim/test/test_phrases.py
index f0e9cea864..58d0cfff93 100644
--- a/gensim/test/test_phrases.py
+++ b/gensim/test/test_phrases.py
@@ -160,6 +160,16 @@ def setUp(self):
         self.bigram_unicode = Phrases(
             self.unicode_sentences, min_count=1, threshold=1, common_terms=self.common_terms)
 
+    def testEmptyPhrasifiedSentencesIterator(self):
+        bigram_phrases = Phrases(self.sentences)
+        bigram_phraser = Phraser(bigram_phrases)
+        trigram_phrases = Phrases(bigram_phraser[self.sentences])
+        trigram_phraser = Phraser(trigram_phrases)
+        trigrams = trigram_phraser[bigram_phraser[self.sentences]]
+        fst, snd = list(trigrams), list(trigrams)
+        self.assertEqual(fst, snd)
+        self.assertNotEqual(snd, [])
+
     def testEmptyInputsOnBigramConstruction(self):
         """Test that empty inputs don't throw errors and return the expected result."""
         # Empty list -> empty list