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This research quantifies meaning constraints in language, suggesting a structured approach to understanding word associations.
Sci - Seven-Channel Form-Meaning Mapping: Quantifying the Constraints of the Saussurean Sign Armstrong Knight — intent-tensor-theory.com Seven independent channels through which word form constrains word meaning are identified and formalized mathematically: morphological type filtering, phonesthemic field vectors, Bouba/Kiki spectral mapping, articulatory effort integral, selectional restrictions, metaphor frame coherence, and information density. The combined system delivers 6.8 bits toward correct meaning versus 0.9 bits toward incorrect alternatives. The anagram wall theorem is proved: words sharing identical character sets produce identical outputs from all character-level functions. Running implementation: intent-tensor-theory.com/applied-itt
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Armstrong Knight (2026) studied this question.
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