A Corpus-Based Model of the Middle Turkic Language using Weighted Averaging

Abstract

This paper formalizes and extends the classic concept of the "Middle Turkic"language (Karimov–Mutalov, 1992) by applying tools from corpus and computational linguistics. The proposed model frames the selection of an "optimal"form for a linguistic unit as a multi-criteria optimization problem over a set of factors, including frequency, prevalence, simplicity, cultural compatibility, and a matrix of interlingual mutual intelligibility. To ensure stability and interpretability, the model introduces soft (softmax) and "saturating" weights, domain and diachronic modifiers, and inter-language "fairness"constraints. The model achieves up to 89% accuracy in linguistic form selection, a 78% intelligibility level, high grammatical consistency (0.92), and a high assimilation rate (0.85). The paper concludes by discussing the model’s potential applications in machine translation, its limitations, and directions for future validation.