diff --git a/tests/test_text.py b/tests/test_text.py
index e0ee71e2c..ac1f9c996 100644
--- a/tests/test_text.py
+++ b/tests/test_text.py
@@ -74,6 +74,72 @@ def test_text_models():
     assert len(P3.dictionary) == 3
 
 
+def test_char_models():
+    test_string = 'unigram'
+    wordseq = words(test_string)
+    P1 = NgramCharModel(1, wordseq)
+
+    assert len(P1.dictionary) == len(test_string)
+    for char in test_string:
+        assert tuple(char) in P1.dictionary
+
+    test_string = 'a b c'
+    wordseq = words(test_string)
+    P1 = NgramCharModel(1, wordseq)
+
+    assert len(P1.dictionary) == len(test_string.split())
+    for char in test_string.split():
+        assert tuple(char) in P1.dictionary
+
+    test_string = 'bigram'
+    wordseq = words(test_string)
+    P2 = NgramCharModel(2, wordseq)
+
+    expected_bigrams = {(' ', 'b'): 1, ('b', 'i'): 1, ('i', 'g'): 1, ('g', 'r'): 1, ('r', 'a'): 1, ('a', 'm'): 1}
+
+    assert len(P2.dictionary) == len(expected_bigrams)
+    for bigram, count in expected_bigrams.items():
+        assert bigram in P2.dictionary
+        assert P2.dictionary[bigram] == count
+
+    test_string = 'bigram bigram'
+    wordseq = words(test_string)
+    P2 = NgramCharModel(2, wordseq)
+
+    expected_bigrams = {(' ', 'b'): 2, ('b', 'i'): 2, ('i', 'g'): 2, ('g', 'r'): 2, ('r', 'a'): 2, ('a', 'm'): 2}
+
+    assert len(P2.dictionary) == len(expected_bigrams)
+    for bigram, count in expected_bigrams.items():
+        assert bigram in P2.dictionary
+        assert P2.dictionary[bigram] == count
+
+    test_string = 'trigram'
+    wordseq = words(test_string)
+    P3 = NgramCharModel(3, wordseq)
+
+    expected_trigrams = {(' ', ' ', 't'): 1, (' ', 't', 'r'): 1, ('t', 'r', 'i'): 1,
+                         ('r', 'i', 'g'): 1, ('i', 'g', 'r'): 1, ('g', 'r', 'a'): 1,
+                         ('r', 'a', 'm'): 1}
+
+    assert len(P3.dictionary) == len(expected_trigrams)
+    for bigram, count in expected_trigrams.items():
+        assert bigram in P3.dictionary
+        assert P3.dictionary[bigram] == count
+
+    test_string = 'trigram trigram trigram'
+    wordseq = words(test_string)
+    P3 = NgramCharModel(3, wordseq)
+
+    expected_trigrams = {(' ', ' ', 't'): 3, (' ', 't', 'r'): 3, ('t', 'r', 'i'): 3,
+                         ('r', 'i', 'g'): 3, ('i', 'g', 'r'): 3, ('g', 'r', 'a'): 3,
+                         ('r', 'a', 'm'): 3}
+
+    assert len(P3.dictionary) == len(expected_trigrams)
+    for bigram, count in expected_trigrams.items():
+        assert bigram in P3.dictionary
+        assert P3.dictionary[bigram] == count
+
+
 def test_viterbi_segmentation():
     flatland = DataFile("EN-text/flatland.txt").read()
     wordseq = words(flatland)