Ngram changed back

openassessment/assessment/worker/classy.py

@@ -59,7 +59,7 @@ class ClassyAlgorithm(AIAlgorithm):
         """
         pipeline = FeatureUnion([
             ('tfid', TfidfVectorizer(min_df=1, ngram_range=(1, 2), stop_words='english')),
-            ('pos', CountVectorizer(tokenizer=tokenizer, ngram_range=(2, 3)))
+            ('pos', CountVectorizer(tokenizer=tokenizer, ngram_range=(1, 2)))
         ])
         transformed = pipeline.fit_transform([example.text for example in examples])
         scores = [example.score for example in examples]