Distribution of Motifs in Mongolian Word Length

Word length is a crucial metric in text quantification. Investigations into Mongolian word length motifs have profound implications for broadening Mongolian lexical studies and quantitative linguistics. The present study adopts a linear sequence perspective, amalgamating the concept of Mongolian word length with motifs. It explores the distribution characteristics of Mongolian word length motifs across five genres—prose, poetry, news, political, and legal. The findings reveal that the distribution of Mongolian word length motifs aligns with the Zipf-Mandelbrot model, and that the distribution of the lengths of Mongolian word length motifs conforms to the Hyperpascal model. These results indicate a regularity in Mongolian word length motifs. Parametric differences are observed in genre distribution, and the fitting results reveal discrepancies among the parameters of the Zipf-Mandelbrot and Hyperpascal models across various genres. It reveals that word length motifs may be employed as indicators for genre classification.