Exploration of Mongolian Word Stress Research Methods Based on Intonation Synthesis Technology

Mongolian, a member of the Mongolic branch within the Altaic language family, is an agglutinative language characterized by the absence of tonal distinctions. The issue of word stress in Mongolian has been a hotly debated topic within Mongolian linguistics, with many differing views. Building on existing research on Mongolian word stress, this study employs the PENTA (Parallel Encoding and Target Approximation) intonation model to synthesize word stress patterns, aiming to explore a novel approach to studying Mongolian word stress. The experiments revealed that annotations based on underlying phonetic features are more effective in uncovering the fundamental control factors of surface-level fundamental frequency (FO) manifestations of word stress. Additionally, annotation content varies with different word lengths. Moreover, the PENTA model avoids individual variations lacking communicative function, thereby synthesizing highly consistent word stress patterns. Given the agglutinative nature of Mongolian, categorizing word stress patterns into basic and dynamic patterns more effectively represents the stress patterns of derived words formed by adding affixes to word stems.