fix bug with spell check fallback option and add modifier ratio for grammar/spelling

feature_extractor.py

@@ -180,15 +180,16 @@ class FeatureExtractor(object):
         in order to get off topic feedback.
         Returns a list of lists (one list per essay in e_set)
         """
+        modifier_ratio=1.1
         set_grammar=self._get_grammar_errors(e_set._pos,e_set._text,e_set._tokens)
         set_grammar_per_character=[set_grammar[m]/float(len(e_set._text[m])) for m in xrange(0,len(e_set._text))]
         set_spell_errors_per_character=[e_set._spelling_errors[m]/float(len(e_set._text[m])) for m in xrange(0,len(e_set._text))]
         all_feedback=[]
         for m in xrange(0,len(e_set._text)):
             individual_feedback=[]
-            if set_grammar_per_character[m]>(self._grammar_errors_per_character):
+            if set_grammar_per_character[m]>(self._grammar_errors_per_character*modifier_ratio):
                 individual_feedback.append("Potential grammar errors.")
-            if set_spell_errors_per_character[m]>(self._spell_errors_per_character):
+            if set_spell_errors_per_character[m]>(self._spell_errors_per_character*modifier_ratio):
                 individual_feedback.append("Potential spelling errors.")
             if features is not None:
                 f_row_sum=numpy.sum(features[m,12:])

tests/tmpfile

- in order to replicate this experiment , we would need to know the temperature of the vinegar as well as how much vinegar to put in . both of these could vary and therefore change the result of the experiment . 
\ No newline at end of file
+ you would need many more pieces of information to replicate the experiment . you would need the type of samples to begin with in the procedure . you would also need to know the amount of vinegar used in each container . you would also need to know exactly how to mass the samples and what types of container to use plastic for example , might alter the results . 
\ No newline at end of file

util_functions.py

@@ -62,7 +62,7 @@ def spell_correct(string):
     try:
         p = os.popen(aspell_path + " -a < " + f_path + " --sug-mode=ultra")
     except:
-        return string
+        return string,0
     incorrect = p.readlines()
     p.close()
     incorrect_words = list()