matildarose > 3 hours ago
tavie > 3 hours ago
matildarose > 3 hours ago
(3 hours ago)tavie Wrote: You are not allowed to view links. Register or Login to view.Which chatbot did you use to develop this?
Rafal > 3 hours ago
Quote:The extremely high IC (0.12) indicates the symbols represent SYLLABLES or common letter combinations, not individual letters.
Quote:In the meantime, go ahead and ask ChatGPT to build you a 12,000-entry dictionary with 99.67% corpus coverage.
Jorge_Stolfi > 3 hours ago
(3 hours ago)matildarose Wrote: You are not allowed to view links. Register or Login to view.The script is not random.
- Systematic morpheme composition
- Zipf's Law R²: 0.973 (STRONGLY LINGUISTIC)
- RULED OUT (High Confidence):
• Simple Substitution Cipher
• Vigenère/Polyalphabetic Cipher
• Random/Gibberish Text
• Book Cipher
- The text exhibits NATURAL LANGUAGE properties throughout
- Word structure shows clear morphological rules
- Entropy patterns match natural language exactly
- Written in a SYLLABIC or LOGOGRAPHIC notation
- Numerical prefixes with semantic meaning
- All sections use the SAME encoding system
- Covering BOTANICAL/MEDICAL subject matter
Quote:I doubt very much that you have good evidence for any of these. They are just guesses, aren't they?
- Latin-like patterns emerge from frequency-based substitution
- ABBREVIATED MEDIEVAL LATIN/ROMANCE TEXT
- Using systematic abbreviation conventions
- At least three grammatical cases
- Numerical prefixes with semantic meaning
- medieval Latin botanical terms written phonetically
- integrated with Arabic medicine and Neoplatonic philosophy.
tavie > 3 hours ago
(3 hours ago)matildarose Wrote: You are not allowed to view links. Register or Login to view.I built the analysis pipelines myself... 171 phases of corpus linguistics, morphological parsers, n-gram frequency analysis, Zipf validation, entropy calculation, and cross-reference engines. The statistical framework includes binomial probability testing, Fisher's method for combined p-values, and control corpus comparison. The interpretation was mine. If you'd like to challenge the methodology, I'm happy to go line by line.
o ahead—ask ChatGPT to build you a 12,000-entry dictionary with 99.67% corpus coverage. Let me know how that goes.
matildarose > 3 hours ago
(3 hours ago)Rafal Wrote: You are not allowed to view links. Register or Login to view.Quote:The extremely high IC (0.12) indicates the symbols represent SYLLABLES or common letter combinations, not individual letters.
So you say that one symbol = one syllable. How do you imagine a language which has only about 20-30 syllables?
Quote:In the meantime, go ahead and ask ChatGPT to build you a 12,000-entry dictionary with 99.67% corpus coverage.
What are your entries? Words? That makes some problem because Voynich manuscript has only about 8000 unique words.
Jorge_Stolfi > 3 hours ago
(3 hours ago)Rafal Wrote: You are not allowed to view links. Register or Login to view.And many of those are hapaxes (words that occur only once). How could you have deduced their meaning, since it seems that you still don't know precisely what the language is? (Romance and Latin are very different things. For one thing, Romance has no cases...)Quote:In the meantime, go ahead and ask ChatGPT to build you a 12,000-entry dictionary with 99.67% corpus coverage.What are your entries? Words? That makes some problem because Voynich manuscript has only about 8000 unique words.
matildarose > 2 hours ago
(3 hours ago)tavie Wrote: You are not allowed to view links. Register or Login to view.(3 hours ago)matildarose Wrote: You are not allowed to view links. Register or Login to view.I built the analysis pipelines myself... 171 phases of corpus linguistics, morphological parsers, n-gram frequency analysis, Zipf validation, entropy calculation, and cross-reference engines. The statistical framework includes binomial probability testing, Fisher's method for combined p-values, and control corpus comparison. The interpretation was mine. If you'd like to challenge the methodology, I'm happy to go line by line.
o ahead—ask ChatGPT to build you a 12,000-entry dictionary with 99.67% corpus coverage. Let me know how that goes.
How is anyone supposed to challenge your methodology? In your attachment, you're just listing basic figures like the total number of words, unique words, the conditional character entropy score. There's nothing there that shows how you reached the conclusions you claim.
And are you truly not using an LLM to write your posts here?
Rafal > 2 hours ago