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Hello, and thank you for writing this fantastic program!
Do you think there could be a way for this program to output parts of the input that are gibberish, while leaving out the parts of the strings that "make sense" based on its model, instead of simply answering "True" or "False"? Or simply highlight the gibberish parts in some way?
If this was made possible, any string could be parsed to have gibberish parts deleted out. Would be a good way to sanitize a lot of file content that's meant for human reading but has junk strings in it for whatever reason.
Thanks again for writing this in the first place. I think you could expand this project to become something majorly useful. Who wouldn't want to be able to detect gibberish in their strings! I would love to contribute to this project, and I have recently started learning Python so hopefully I can someday, but I tried to understand your code and am too much for a noob yet to do it unfortunately.
The text was updated successfully, but these errors were encountered:
Hello, and thank you for writing this fantastic program!
Do you think there could be a way for this program to output parts of the input that are gibberish, while leaving out the parts of the strings that "make sense" based on its model, instead of simply answering "True" or "False"? Or simply highlight the gibberish parts in some way?
If this was made possible, any string could be parsed to have gibberish parts deleted out. Would be a good way to sanitize a lot of file content that's meant for human reading but has junk strings in it for whatever reason.
Thanks again for writing this in the first place. I think you could expand this project to become something majorly useful. Who wouldn't want to be able to detect gibberish in their strings! I would love to contribute to this project, and I have recently started learning Python so hopefully I can someday, but I tried to understand your code and am too much for a noob yet to do it unfortunately.
The text was updated successfully, but these errors were encountered: