This research investigates the marginalizing effects of global digitalization and urbanization on local dialects through the metaphor of "Lost Frequencies." Focusing on the Maraş dialect, the study explores the intersection between the rupture in generational cultural transmission and the failure of digital systems (ASR) to recognize local linguistic codes. Theoretically, the paper argues that language is a primary vehicle for cultural identity, and its loss implies a weakening of social status and defense mechanisms (Arslan et al. 2024). Urbanization processes further demonstrate how language use shifts according to changing behavioral norms and rituals (Heinrich and Smakman 2018, 2), while younger generations increasingly perceive dialects as barriers to social mobility within urban spaces (Nortier and Svendsen 2015, 1). Additionally, the rise of social media fosters new linguistic forms that further disconnect traditional speech from formal digital recognition (Rianto and Juliarta 2024, 1).

Methodologically, the study proposes a framework leveraging the YouTube archives of Aksu TV (specifically the Hayat Ağacı and Maraş Konuşuyor series) as an unstructured data pool. The core output is a "Linguistic Error Taxonomy" that identifies phonetic, morphological, and semantic disconnections where algorithms fail to process non-standard variants. The study concludes that transforming these archives into a structured Digital Corpus is essential for the digital sustainability of local memory. By bridging the gap between traditional narratives and algorithmic recognition, this research provides a roadmap for preserving intangible cultural heritage in the digital era.