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Source: https://writers.stackexchange.com/a/32241
License name: CC BY-SA 3.0
License URL: https://creativecommons.org/licenses/by-sa/3.0/

I'm not sure about using Git commit. I don't use it much.

How about tokenizing your text in Python? Then calculate the entropy per sentence. This would show difference between sentences. Alternatively, you could do this for words or ngrams. The output can be stored to list and txt file.

    # py3 algo for calculating entropy
    # import math
    from collections import Counter
    p, lns = Counter(s), float(len(s))
    return -sum( count/lns * math.log(count/lns, 2) for count in p.values())

Or perhaps use one of the fuzzy search algorithms to find sentences that are not an exact but are a fuzzy match (e.g. one substituted character).

Perhaps even easier, but not as powerful, Google Docs has a version history where you can view all edits for each day you have edited the file. It is also possible to export to Markdown.

Let us know your solution.

Original score: 1