aiqbench analysis
This study applies self-organized criticality theory to human writing dynamics, revealing how semantic correlations in text evolve toward a critical state during the revision process. By analyzing the KLiCKe keystroke dataset, the research demonstrates that text revisions exhibit restoring dynamics that adhere to specific power laws, offering new insights into the computational mechanics of language generation.
Writing as a Self-Organized Critical Process
arXiv:2610.05466v1 Announce Type: new Abstract: We explain autocorrelation decay power laws omnipresent in texts by self-organized criticality. Specifically, we analyze the recently released KLiCKe keystroke dataset and show that not only the final texts' autocorrelations form a manifold that adheres to a power law with a finite-size scaling, but also the text revisions generate revision-size-dependent restoring dynamics toward that manifold. Thus, human writing appears to dynamically regulate semantic correlations in a text toward a critical state.
Abstract:We explain autocorrelation decay power laws omnipresent in texts by self-organized criticality. Specifically, we analyze the recently released KLiCKe keystroke dataset and show that not only the final texts' autocorrelations form a manifold that adheres to a power law with a finite-size scaling, but also the text revisions generate revision-size-dependent restoring dynamics toward that manifold. Thus, human writing appears to dynamically regulate semantic correlations in a text toward a critical state.
Computation and Language (cs.CL)
arXiv:2610.05466 [cs.CL]
(or arXiv:2610.05466v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2610.05466 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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