LUXVAR: A Constructed Language with Distinctive Morphemic Structure and AI-Recoverable Morpheme Families

LUXVAR is a constructed symbolic language developed within the VARZIN research framework. This study presents a computational analysis of LUXVAR morphology, phonotactics, semantic structure tests, and AI-based clustering benchmarks. Main findings include: • Non-random morphological structure (z = 4.36) • Distinctive phonotactic fingerprint relative to multiple reference languages • Strong convergence of independent language models on morpheme families (inter-model ARI = 0.718) • No evidence for reliable recovery of the designed semantic axes from word forms alone The results indicate that the computationally recoverable structure of LUXVAR is morphemic rather than axial. This work is presented as a computational linguistics study. It does not claim empirical validation of cognitive, psychological, or physical effects associated with the language. The remaining open question is whether human observers recover the same morpheme-family organization identified by independent language models, a question reserved for the proposed VPE-001A human study.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-26
DOI
https://doi.org/10.5281/zenodo.20691857
Primary Topic
Language and cultural evolution
Type
preprint
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preprint

LUXVAR: A Constructed Language with Distinctive Morphemic Structure and AI-Recoverable Morpheme Families

Nirouyar Reza
Zenodo (CERN European Organization for Nuclear Research)
Language and cultural evolution
preprint

LUXVAR: A Constructed Language with Distinctive Morphemic Structure and AI-Recoverable Morpheme Families

Nirouyar Reza
preprint en

Abstract

LUXVAR is a constructed symbolic language developed within the VARZIN research framework. This study presents a computational analysis of LUXVAR morphology, phonotactics, semantic structure tests, and AI-based clustering benchmarks. Main findings include: • Non-random morphological structure (z = 4.36) • Distinctive phonotactic fingerprint relative to multiple reference languages • Strong convergence of independent language models on morpheme families (inter-model ARI = 0.718) • No evidence for reliable recovery of the designed semantic axes from word forms alone The results indicate that the computationally recoverable structure of LUXVAR is morphemic rather than axial. This work is presented as a computational linguistics study. It does not claim empirical validation of cognitive, psychological, or physical effects associated with the language. The remaining open question is whether human observers recover the same morpheme-family organization identified by independent language models, a question reserved for the proposed VPE-001A human study.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Language and cultural evolution
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