_1711986222 20240401201342000 Rovedar Daryoushbabazadeh@gmail.com Rovedar Journal of Contemporary Language Research J. Contemp. Lang. Res. 2980-8065 03 25 2024 3 1 James Hutson https://orcid.org/0000-0002-0578-6052 Pace Ellsworth https://orcid.org/0009-0008-5926-6571 Matt Ellsworth https://orcid.org/0009-0005-6387-5984 In the face of the rapid erosion of both tangible and intangible cultural heritage globally, the urgency for effective, wide-ranging preservation methods has never been greater. Traditional approaches in cultural preservation often focus narrowly on specific niches, overlooking the broader cultural tapestry, particularly the preservation of everyday cultural elements. This article addresses this critical gap by advocating for a comprehensive, scalable model for cultural preservation that leverages machine learning and big data analytics. This model aims to document and archive a diverse range of cultural artifacts, encompassing both extraordinary and mundane aspects of heritage. A central issue highlighted in the article is the dominance of English, especially in popular culture, and its role in reshaping cognitive patterns, leading to the loss of traditional languages and cultures. This trend, favoring orality over literacy, amplifies the need for the preservation actions proposed. The article underscores the importance of establishing a more meaningful and comprehensive lingua franca as the first step in this endeavor. This approach is not just about safeguarding languages but also about preserving the nuanced ways in which different linguistic paradigms shape our understanding of the world. The paper explores how language evolution, translation nuances, and the unique perspectives inherent in various linguistic paradigms contribute to a rich cultural diversity. It also examines the impact of technology and social media on traditional cultural norms and the critical need for deliberate efforts to reinforce endangered languages and practices. The proposed model aims to bridge the gap between past and present cultural expressions, using technology to reinforce mother-tongue contexts and enhance the appreciation of diverse human identities and worldviews. Through this, the article presents a compelling case for a more inclusive and holistic approach to preserving the global tapestry of cultural heritage. 03 25 2024 10 19 https://creativecommons.org/licenses/by/4.0 10.58803/jclr.v3i1.96 https://jclr.rovedar.com/index.php/JCLR/article/view/96 https://jclr.rovedar.com/index.php/JCLR/article/download/96/119 https://jclr.rovedar.com/index.php/JCLR/article/download/96/119 10.1075/sibil.58 10.1177/13591835221149685 Alemohammad, S., Casco-Rodriguez, J., Luzi, L., Humayun, A. I., Babaei, H., LeJeune, D., Siahkoohi, A., & Baraniuk, R. G. (2023). Self-consuming generative models go mad. 37th Conference on 10.52591/lxai202312101 10.22363/2618-897X-2023-20-3-436-455 10.1177/152574019902100102 10.52131/pjhss.2023.1102.0394 10.1109/ACCESS.2023.3280639 10.4324/9780203994634 10.1080/09500781003678704 10.7551/mitpress/13775.001.0001 Blackledge, A., Creese, A., Arnaut, K., Blommaert, J., Rampton, B., & Spotti, M. (2018). Language and superdiversity. The Routledge handbook 10.4324/9781315696010-22 10.1038/s41559-021-01604-y 10.1055/s-0029-1225951 10.1145/3641289 10.1007/978-3-319-17461-7_5 10.2307/j.ctv360ns3q 10.21125/inted.2024.1489 10.1017/CBO9780511486999 10.1093/cercor/bhad121 Diamond, J. (2010). The benefits of multilingualism. Science, 330(6002), 332-333. 10.1126/science.1195067 Dildora, U., & Tukhtakhodjayeva, Z. T. (2024). The socio-cultural characteristics of formulaic language and Uzbeck languages. Journal of new century innovations, 48(2), 21-23. 10.1075/lllt.40.09doi 10.1176/jnp.2009.21.1.88 10.1017/S1366728923000317 Gannie, R. R. (2023). Destruction and resiliency: Decolonizing settler knowledge in native ersonaln literature through the peoplehood matrix [Doctoral dissertation, University of Denver, United States]. Gladkoff, S., Erofeev, G., Han, L., & Nenadic, G. (2023). Predicting Perfect Quality Segments in MT Output with Fine-Tuned OpenAI LLM: Is it possible to capture editing distance patterns from historical data?. arXiv preprint arXiv:2308.00158. https://arxiv.org/abs/2308.00158 10.33621/jdsr.v2i3.53 Graddol, D. (1997). The future of English?: A guide to forecasting the popularity of the English language in the 21st century. British Council. 10.1515/psicl-2016-0025 10.1080/07908318.2023.2210287 10.62608/2831-3550.1014 10.1145/2702123.2702346 10.4324/9781410605030-20 10.1177/13670069221132630 Hutson, J., Ellsworth, P., Ellsworth, M., & Ntungirimana, J. B. (2023). Digitizing the Cultural Capital: Harnessing Digital Humanities for Heritage Preservation in Bujumbura, Burundi. Advances in Social Sciences and Management, 1(11). Jerome, C., Perry, E. J., & Ting, S. H. (2022). Malaysian pop music in the minority language: A tool for forging unity and a common identity?. International Journal of Social Science Research, 4(1), 401-413. https://myjms.mohe.gov.my/index.php/ijssr/article/view/17731 10.1007/978-3-031-05946-9_18 10.1002/9781405198431.wbeal1448 Kirk, H. R., Vidgen, B., Röttger, P., & Hale, S. A. (2023). Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with ersonalizedd feedback. arXiv preprint arXiv:2303.05453. 10.1080/01434632.2023.2189262 Konieczny, P., & Lewoniewski, W. (2023). Measuring Americanization: A global quantitative study of interest in American topics on Wikipedia. arXiv preprint arXiv:2307.14401. https://arxiv.org/abs/2307.14401 10.1075/cilt.195.17kro 10.3390/s23063151 10.3389/fpsyg.2019.00445 10.18653/v1/2023.findings-emnlp.878 10.1177/13670069070110030201 Lucia, A. (2023). Flooding the Web: Absence-presence and the media strategies of Nithyananda’s digital empire. Gurus and media: Sound, image, machine, text and the digital, 271-298. https://library.oapen.org/bitstream/handle/20.500.12657/76564/1/9781800085541.pdf#page=290 10.3102/0002831216683935 10.1332/policypress/9781529211740.003.0006 10.51952/9781529211764.ch005 10.15863/TAS.2023.03.119.27 10.1007/s10823-018-9361-9 10.1007/978-3-031-50085-5_8 10.1080/1358684X.2023.2217424 10.21832/9781853596315-014 Ng, B. C., & Wigglesworth, G. (2007). Bilingualism: An advanced resource book. Taylor & Francis. 10.21832/9781847697554-003 10.1177/10567879221076081 10.22425/jul.2023.24.1.77 10.1177/17540739231182680 Phillipson, R. (1992). Linguistic imperialism. Oxford University Press. 10.18653/v1/2023.findings-eacl.157 10.1371/journal.pone.0284801 10.1093/oso/9780190625610.001.0001 10.1007/s10560-021-00786-5 10.17770/eid2023.1.6968 10.1080/01434632.2022.2038614 10.4018/IJCINI.20210701.oa1 10.31235/osf.io/svfdx 10.1126/sciadv.adg6175 10.4324/9781410605191 10.1007/978-3-642-32194-8 10.1080/14790718.2021.1917582 10.5040/9781350400351.ch-28 Van der Worp, K., Cenoz, J., & Gorter, D. (2017). From bilingualism to multilingualism in the workplace: The case of the Basque 10.1007/s10993-016-9412-4 10.21125/inted.2024.0480 10.1080/19463014.2014.893896 10.1162/coli_a_00515 Zhang, J., Ji, X., Zhao, Z., Hei, X., & Choo, K. K. R. (2023). Ethical considerations and policy implications for large language models: guiding responsible development and deployment. arXiv preprint arXiv:2308.02678. 10.4018/IJWLTT.332767