IndexError: list index out of range

[nmntz]

IndexError Traceback (most recent call last)
in ()
7 }
8
----> 9 pprint(normalise(cleaned_corpus))

7 frames
/usr/local/lib/python3.6/dist-packages/normalise/normalisation.py in normalise(text, tokenizer, verbose, variety, user_abbrevs)
155 return insert(tokenizer(text), verbose=verbose, variety=variety, user_abbrevs=user_abbrevs)
156 else:
--> 157 return insert(text, verbose=verbose, variety=variety, user_abbrevs=user_abbrevs)
158
159

/usr/local/lib/python3.6/dist-packages/normalise/normalisation.py in insert(text, verbose, variety, user_abbrevs)
161 (expanded_ALPHA,
162 expanded_NUMB,
--> 163 expanded_MISC) = list_NSWs(text, verbose=verbose, variety=variety, user_abbrevs=user_abbrevs)
164 out = text[:]
165 split_dict = {}

/usr/local/lib/python3.6/dist-packages/normalise/normalisation.py in list_NSWs(text, verbose, variety, user_abbrevs)
69 print("CLASSIFYING ALPHABETIC NSWs")
70 print("---------------------------\n")
---> 71 tagged_ALPHA = run_clfALPHA(ALPHA_dict, text, verbose=verbose, user_abbrevs=user_abbrevs)
72 if verbose:
73 print("CLASSIFYING NUMERIC NSWs")

/usr/local/lib/python3.6/dist-packages/normalise/class_ALPHA.py in run_clfALPHA(dic, text, verbose, user_abbrevs)
96 out.update({ind: (nsw, 'ALPHA', 'EXPN')})
97 else:
---> 98 pred_int = int(clf.predict(gen_featuresetsALPHA({ind: (nsw, tag)}, text)))
99 ntag = int_tag_dict[pred_int]
100 out.update({ind: (nsw, tag, ntag)})

/usr/local/lib/python3.6/dist-packages/normalise/class_ALPHA.py in gen_featuresetsALPHA(tagged_dict, text)
109 """Return an array for features for each item in the input dict."""
110 return np.array([give_featuresALPHA(item, text)
--> 111 for item in tagged_dict.items()],
112 dtype=float)
113

/usr/local/lib/python3.6/dist-packages/normalise/class_ALPHA.py in (.0)
109 """Return an array for features for each item in the input dict."""
110 return np.array([give_featuresALPHA(item, text)
--> 111 for item in tagged_dict.items()],
112 dtype=float)
113

/usr/local/lib/python3.6/dist-packages/normalise/class_ALPHA.py in give_featuresALPHA(item, text)
116 """Return a list of features for a dictionary item."""
117 ind, nsw, tag = item[0], item[1][0], item[1][1]
--> 118 context = gen_frame(item, text)
119 out = [
120

/usr/local/lib/python3.6/dist-packages/normalise/class_NUMB.py in gen_frame(dict_tup, text)
387 else:
388 rind = round(ind)
--> 389 full = text[rind]
390 start = ''
391 end = ''