New Research: Quantitative analysis of lexical independence in MS 408 (DIS Model)

[guidoperez]

Thank you all for the feedback, especially to Jorge Stolfi for the detailed technical critique.

To address the main points:

1) On Methodology:

• Segment definition: I used individual lines as a first approximation. While shorter segments tend towards lower J-scores due to sampling noise, the gap between VMS (J≈0.08) and Latin baselines (J≈0.30) remains massive (d=2.45). If the VMS followed natural language cohesion, even at the line level, we would expect a higher overlap in function words or core thematic vocabulary, which is statistically absent.
  
• Column C: I used the transcription layer that normalizes certain glyphs to reduce orthographic noise while keeping the token structure intact.
  
• Hapax legomena: I included all tokens. Potential noise from transcription errors actually works against my hypothesis by lowering J across the board. If I filtered rare tokens, the J-index for natural language would rise faster than for the VMS, making the divergence even more striking.
  
• Control texts: I segmented Latin texts by sentence. Even when truncating Latin strings to match VMS line lengths, the J-index remains significantly higher. I will include a more detailed sensitivity analysis on segment length in the next iteration.
  

2) On the DIS hypothesis: The core claim is empirical: The VMS text behaves as if there was a "reset" at almost every line break. Whether we call it DIS or "modular architecture," the J≈0.08 signature is a hurdle that any linguistic theory must explain. My work focuses on the architectural constraints of the data, not semantic decipherment.

3) Regarding the writing style and format: I am an independent researcher and I use modern computational tools to assist in data processing and formalizing my findings. I appreciate the observation regarding the bibliography; the missing in-text citations for the numbered references will be corrected in a new version.
I don’t claim to have "solved" the manuscript. I am presenting a reproducible statistical constraint. I invite anyone to download the transcription, run a Jaccard analysis with different segmentations, and share if they find a cohesion level comparable to natural language.