PreprintCC BY 4.0arXiv
Inferred and Residual Parameter Interactions in Syntax Dynamics
Abstract
What makes natural languages diversify, in their syntactic structure, even when sharing a largely common origin? We refine our simple model, which focuses on the glassy dynamics induced by a network of interactions between syntactic parameters. Distinguishing between symmetric interaction weights that can be inferred from the observed statistics of syntax across many languages, and additional asymmetric weights assigned at random, we show that both components are needed, with similar overall strength, to account for plausible long-term syntactic dynamics. An approximate balance can combine the glassy metastability provided by the inferred weights with the chaotic diversification induced by the residual asymmetric weights.
Related
- Meson-isospectral pair interactions and the residual three-quark force
- Two-Parameter Family of Nonlinear Dirac Equations With Scalar-Scalar plus Vector-Vector Interactions
- Temporal Weight-Position Mapping: time-resolved parameter dominance of electron dynamics in nonlinear Thomson scattering
- Residual dynamics determine dissipation in strongly coupled linear Langevin systems
- Out-of-equilibrium relaxation dynamics of the superconducting order parameter in CsV3Sb5
BibTeX
@misc{yarahmadi2026inferred,
title = {{Inferred and Residual Parameter Interactions in Syntax Dynamics}},
author = {Hediye Yarahmadi and Alessandro Treves},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.15598},
eprint = {2610.15598},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.15598},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Inferred and Residual Parameter Interactions in Syntax Dynamics
AU - Hediye Yarahmadi
AU - Alessandro Treves
PY - 2026
DA - 2026/10/11
PB - arXiv
DO - 10.48550/arxiv.2610.15598
UR - https://arxiv.org/abs/2610.15598
AB - What makes natural languages diversify, in their syntactic structure, even when sharing a largely common origin? We refine our simple model, which focuses on the glassy dynamics induced by a network of interactions between syntactic parameters. Distinguishing between symmetric interaction weights that can be inferred from the observed statistics of syntax across many languages, and additional asymmetric weights assigned at random, we show that both components are needed, with similar overall strength, to account for plausible long-term syntactic dynamics. An approximate balance can combine the glassy metastability provided by the inferred weights with the chaotic diversification induced by the residual asymmetric weights.
ER -