Mathematical modeling reveals links between vocal tract physics and linguistic properties, suggesting new insights into language structure.
Sci - Articulatory Field Equations for Language: Deriving Character Mass from Vocal Tract Physics Armstrong Knight — intent-tensor-theory.com A mathematical mass function for written characters is derived from the physics of the human vocal tract using a 9-dimensional articulatory feature space. The word molecular weight MW correlates with word frequency at Spearman rho=0.88, age of acquisition at rho=0.92, and syllable count at rho=0.97, proving that articulatory physics encodes genuine linguistic structure without training data or corpus statistics. Running implementation: intent-tensor-theory.com/applied-itt
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Armstrong Knight (2026) studied this question.
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