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dc.contributor.authorPhan Thi, Thanh Thuy-
dc.contributor.authorHa Huy, Cuong Nguyen-
dc.date.accessioned2026-01-02T20:09:53Z-
dc.date.available2026-01-02T20:09:53Z-
dc.date.issued2025-10-11-
dc.identifier.urihttp://dspace.azjhpc.org/xmlui/handle/123456789/507-
dc.description.abstractThe history of the Vietnamese language reveals that Vietnam's original inhabitants belonged to the Austroasiatic linguistic group. Successive waves of contact have intricately entwined linguistic strata, making differentiation challenging. To explore this complexity, our focus turns to Quang Nam, a region that offers valuable insights into cultural and linguistic layers predating Vietnam’s expansion. Evident in the nomenclature of places, the coexistence of Mon-Khmer and Austronesian languages reflects a time before Vietnamese annexation. Historical and archaeological investigations in Quang Nam suggest that the initial contact language belonged to the Austronesian family. In our quest to understand the extent of multilingualism within Cham Pa society, we employ comparative linguistics alongside an interdisciplinary approach that integrates archaeology, history, and cultural studies. Furthermore, the application of artificial intelligence in conservation and data management plays a crucial role in preserving and systematically archiving the region’s diverse linguistic and cultural heritage. By leveraging AI-driven tools, we enhance the accessibility and longevity of historical data, ensuring its availability for future research and cultural preservation efforts.en_US
dc.language.isoenen_US
dc.publisherAzerbaijan Journal of High Performance Computingen_US
dc.subjectAI-driven toolsen_US
dc.subjectVietnameseen_US
dc.subjectCham Pa societyen_US
dc.subjectMon-Khmeren_US
dc.subjectQuang Namen_US
dc.subjectAustronesian languagesen_US
dc.titleARTIFICIAL INTELLIGENCE FOR CHAM PA LANGUAGE PRESERVATION: A STUDY IN QUANG NAMen_US
dc.typeArticleen_US
dc.source.journaltitleAzerbaijan Journal of High Performance Computingen_US
dc.source.volumeVolume 7en_US
dc.source.issuee2025.01en_US
dc.source.beginpage1en_US
dc.source.endpage12en_US
dc.source.numberofpages12en_US
Appears in Collections:Azerbaijan Journal of High Performance Computing

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