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May 21, 2026Open Access

ITU Tier 1+ #33: Linguistics (Kₗang)

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Authors

MTMunehiro Terada

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Overview

Randomized trial explores linguistic structures and predictions in language models, indicating future trends.

Key Points

  • The research aims to define and analyze the K_lang framework, connecting various linguistic theories and computational models.
  • Utilized operator-algebraic modular Hamiltonian on phoneme, morpheme, syntax, semantics, and pragmatics.
  • Fitted numerical models using Zipf's law and tested against linguistic datasets.
  • Incorporated computational language models like GPT-4 and evaluated their performance.
  • Achieved a numerical fit with Zipf's law showing alpha=1.0787 and a deviation of 0.8%.
  • Produced Shannon entropy of H=5.70 nats.
  • Outlined ten falsifiable predictions, including the pace of AI translation and language preservation strategies.

Cite This Study

Munehiro Terada (2026) studied this question.

synapsesocial.com/papers/6a0ea188be05d6e3efb603f6https://doi.org/10.5281/zenodo.20281314
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