Slavic Hypothesis: Morphological Consistency Analysis

[Kaybo]

Sure — let’s unpack that a bit so it’s clearer.
When you talk about consistency (in a linguistic or morphological sense), you’re looking at whether certain patterns in a text behave systematically — like real grammatical or phonetic rules — or whether they’re just random repetitions.
Here are a few kinds of consistency tests you could apply to something like the Voynich manuscript or any ancient text:

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? 1. Morphological Consistency
Check whether similar word endings or prefixes occur in a rule-like way.

• Example: If words ending in “-dy” always appear after a noun, that suggests a grammatical function (like a case ending or postposition).
  
• But if “-dy” appears randomly after any kind of word, it’s likely not a morphological rule.
  

? Test idea:
Group words by endings and compare the context (words before/after). If the endings appear in specific syntactic positions, that’s morphological consistency.

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? 2. Phonetic/Orthographic Consistency
Look for stable sound-to-symbol relationships.

• Example: If a symbol (say “o”) always represents the same sound or appears in similar phonetic environments, that’s consistent spelling.
  
• If sometimes “o” behaves like a vowel and sometimes like a consonant, the system may be symbolic or artificial.
  

? Test idea:
Check symbol frequency and mutual substitution. If two symbols never appear in the same position in a word, they might represent similar phonemes (like “u” and “v” in old Latin scripts).

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? 3. Syntactic or Positional Consistency
See whether certain words or glyphs appear in structured sequences.

• Example: Some texts have “function words” (like “the”, “and”) that appear frequently and in predictable spots.
  
• If some Voynich “tokens” repeat in similar line or paragraph positions, that suggests syntax rather than random generation.
  

? Test idea:
Tag positions (beginning, middle, end of line/paragraph) and look for statistically significant clusters.

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? 4. Semantic or Contextual Consistency
Even without translation, you can check if certain words cluster near related drawings or themes.

• Example: If certain tokens always appear near plant drawings, they may be “plant names” or share a semantic field.
  

? Test idea:
Use co-occurrence analysis — measure which words appear together across pages.

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Would you like me to show what one of those tests might look like in practice — for example, how to run a morphological consistency check using real data (even simplified)?

Fantastic. How many free agent request you have? Here is the real data, provide me with a morphological consistency check: 
shorodo shy tshy kchol dpchy qopchy otchol cfhol dy
tchor dor daiin qotchol okchy okchor oiin chckhy d
dchy qoky chol dy qokhy d oldy okchor doaiin
shochy qokchy torchy kccky s okchey daiin
oldy shey chol doiin ykoly okchal daldy
sotchy kchy okorory