Must generate word counts

[izahn]

On the step

I can just write clean text files (with suffix clean.txt)
or I can also write tab-separated files that count the words
in each file after correction.
1) Text only or 2) text-plus-wordcounts? (1 or 2): 1) Text only or 2) text-plus-wordcounts? (1 or 2): 1

the OCRnormalizer.py script only works if I select 2. If I select 1 I get

Traceback (most recent call last):
  File "OCRnormalizer.py", line 351, in <module>
    main()
  File "OCRnormalizer.py", line 313, in main
    metatuple = (outfilename, str(totalwordsinvol), str(pre_matched), str(pre_english), str(post_matched),
UnboundLocalError: local variable 'totalwordsinvol' referenced before assignment

[tedunderwood]

Thanks for the notification.

Ted

Ted Underwood
Professor of English
Liberal Arts and Sciences Centennial Scholar
University of Illinois, Urbana-Champaign

On Tue, Feb 24, 2015 at 10:44 AM, Ista Zahn notifications@github.com
wrote:

On the step

I can just write clean text files (with suffix clean.txt)
or I can also write tab-separated files that count the words
in each file after correction.

1. Text only or 2) text-plus-wordcounts? (1 or 2): 1) Text only or 2) text-plus-wordcounts? (1 or 2): 1

the OCRnormalizer.py script only works if I select 2. If I select 1 I get

Traceback (most recent call last):
File "OCRnormalizer.py", line 351, in
main()
File "OCRnormalizer.py", line 313, in main
metatuple = (outfilename, str(totalwordsinvol), str(pre_matched), str(pre_english), str(post_matched),
UnboundLocalError: local variable 'totalwordsinvol' referenced before assignment

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