| ai.viXra.org > Linguistics |
|
 |
| ai.viXra.org > Linguistics |
|
|
Previous months:
2025 - 2505(1)
2026 - 2601(1) - 2605(1)
Any replacements are listed farther down
[3] ai.viXra.org:2605.0052 [pdf] submitted on 2026-05-24 22:49:25
Authors: Marek Koubek
Comments: 3 Pages. The language of the text is Czech.
This article presents a large-scale automated analysis of the phonetic adaptation of English loanwords in Czech, German, Spanish, Korean, and Chinese. Utilizing the ALINE sequence alignment algorithm, a dataset of 52,445 English words with verified translations was processed (comprising 119,206 word—language pairs with attestation dates ranging from 1800 to 2026). The results reveal a typological gradient of average phonetic distance: German (0.322) < Spanish (0.343) < Czech (0.350) < Korean (0.406) < Chinese (0.536). Domain analysis indicates that technological and scientific terminology exhibits a lower phonetic distance than social and political terminology. The temporal trend hypothesis is partially confirmed: German, Korean, and Chinese exhibit a negative trend, whereas Spanish displays a positive trend. The trend of global Anglicization is most pronounced in the period prior to 2000. A Kruskal—Wallis test confirms significant cross-linguistic differences ($H = 37,309$, $p < 0.001$).
Category: Linguistics
[2] ai.viXra.org:2601.0067 [pdf] submitted on 2026-01-17 20:46:40
Authors: Steven Alexander Quevedo Vinueza
Comments: 6 Pages. (Note by ai.viXra.org Admin: Please cite listed scientific references; and the author's name should not be sued to name a formula/discovery)
The Voynich Manuscript (MS 408) has long been considered an indecipherable mystery, but our research shows it is actually a technical logbook produced by a 15th-century mechanical device. We propose that the manuscript records industrial processes for the Medici alum monopoly using the "[a newly proposed] Wheel"—a mechanical cipher tool. By simulating the device’s physical constraints, specifically a mechanism we call the "Gallow Lock," we have replicated the manuscript's unique patterns with high statistical accuracy. Our findings explain why traditional linguistic methods have failed: the text is a mechanical output rather than a natural language. This discovery links the manuscript to the engineering of the Florentine Renaissance and the secretive alum industry at Sancto Lazero, proving that the codex is a byproduct of industrial secrecy rather than mystical or linguistic intent.
Category: Linguistics
[1] ai.viXra.org:2505.0037 [pdf] submitted on 2025-05-05 10:04:56
Authors: Moninder Singh Modgil
Comments: 12 Pages.
This paper presents the framework of textit{Linguistics in the Time Cycle (LTC)}, a temporal-theoretical model that parallels the dynamics of genetic evolution. Drawing from the structure of Genetics in the Time Cycle (GTC), LTC explores how linguistic forms—phonological, morphological, syntactic, and semantic—evolve and are expressed through multiple temporal layers. These include micro-cycles (daily and cognitive rhythms), meso-cycles (developmental and generational changes), and macro-cycles (historical and cultural transformations). By mapping linguistic change to temporal structures, LTC offers an interdisciplinary methodology for understanding how time regulates and reshapes language across individual, societal, and evolutionary scales.
Category: Linguistics
None