Application of a Quantum Ensemble Model to Linguistic Analysis
Andrij Rovenchak, Solomija Buk
TL;DR
This paper introduces a quantum ensemble model for linguistic analysis, using a Bose-distribution analogy and a novel 'temperature' parameter to describe word frequency behaviors across multiple languages.
Contribution
It proposes a new quantum-inspired framework for analyzing word frequency distributions and introduces the concept of 'temperature' to quantify language structure.
Findings
Correlation between language analyticity and model parameters
Application to English, Ukrainian, and Maninka languages
Potential for cross-linguistic linguistic analysis
Abstract
A new set of parameters to describe the word frequency behavior of texts is proposed. The analogy between the word frequency distribution and the Bose-distribution is suggested and the notion of "temperature" is introduced for this case. The calculations are made for English, Ukrainian, and the Guinean Maninka languages. The correlation between in-deep language structure (the level of analyticity) and the defined parameters is shown to exist.
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