And this is NOT PROOF but an example of more of what I've tested it on.
I grabbed 4 different texts off of Gutenberg. A Latin (Caesar's Oratio de hominis dignitate) , English (Dracula), Finnish (Seitsemän veljestä) and a generic Esperanto text. I had it perform Levenshtein distance testing on each after verifying it could accurately parse each of those documents and below is the combined chart. I THINK it's pretty accurate but I'll defer to a more knowledgeable opinion.
And, I hadn't tested this on any other AI so I gave it a shot. Grok initially refused to run the python script and then 'simulated' running it, completely failing the sanity check as it refused to run the parser routines. Copilot refused the python file upload, period. Claude (the free version) wouldn't accept the transcription saying it was too large. Gemini however had no issues with it. It ran the sanity check on the python file and then output the heatmap. Looks real close to the one GPT produced, just different styling.
I grabbed 4 different texts off of Gutenberg. A Latin (Caesar's Oratio de hominis dignitate) , English (Dracula), Finnish (Seitsemän veljestä) and a generic Esperanto text. I had it perform Levenshtein distance testing on each after verifying it could accurately parse each of those documents and below is the combined chart. I THINK it's pretty accurate but I'll defer to a more knowledgeable opinion.
And, I hadn't tested this on any other AI so I gave it a shot. Grok initially refused to run the python script and then 'simulated' running it, completely failing the sanity check as it refused to run the parser routines. Copilot refused the python file upload, period. Claude (the free version) wouldn't accept the transcription saying it was too large. Gemini however had no issues with it. It ran the sanity check on the python file and then output the heatmap. Looks real close to the one GPT produced, just different styling.