A Study of the Impact of Internet Technology on Minority Languages and Cultures

[1] Cheng, A. (2021). Indescribable: the construction and enregisterment of korean american ethnolinguistic identity. Amerasia Journal, 47, 387 - 404. Search in Google Scholar

[2] Ai, B., Cui, C., & Wang, L. (2019). Language, identity and transnational communication: chinese business expatriates in africa. IEEE Transactions on Professional Communication, 1-14. Search in Google Scholar

[3] Perera K S. (2019). The securitization of language education. Applied Linguistics, 40. Search in Google Scholar

[4] Sultana, S. (2021). Indigenous ethnic languages in bangladesh: paradoxes of the multilingual ecology. Ethnicities(21), 146879682110215. Search in Google Scholar

[5] Valverde-Moreno, M., Mercedes Torres-Jiménez, Lucia-Casademunt, A. M., & Ana María Pacheco-Martínez. (2021). Do national values of culture and sustainability influence direct employee pdm levels and scope? the search for a european answer. Sustainability, 13. Search in Google Scholar

[6] Kim, H., H., & -S. (2018). Particularized trust, generalized trust, and immigrant self-rated health: cross-national analysis of world values survey. Public health, 158, 93-101. Search in Google Scholar

[7] Saul, & Schwartz. (2018). The predicament of language and culture: advocacy, anthropology, and dormant language communities. Journal of Linguistic Anthropology. Search in Google Scholar

[8] Nol, D. (2024). Culture in a radically usage-based model of language change, with special reference to constructional attrition:. Review of Cognitive Linguistics, 22(1), 100-123. Search in Google Scholar

[9] Sun, Y. (2018). The forging of national conscience in language and culture: on thackeray’s the vanity fair. Foreign Literature Studies, 40(4), 58-68. Search in Google Scholar

[10] Dai, Y. (2022). Study on the performance optimization algorithm strategy of resource and environment audit based on computer network technology. Mobile Information Systems. Search in Google Scholar

[11] Zhu, X., & Luo, S. (2021). The influence of computer network technology on national income distribution under the background of social economy. Computer Communications, 177, 166-175. Search in Google Scholar

[12] Peng, M., Li, S., Liu, X., & Wu, Q. (2017). Research on prediction of development of computer network technology industry based on support vector machines. Revista de la Facultad de Ingenieria, 32(9), 1-7. Search in Google Scholar

[13] Wang, Y., Ma, J., Sharma, A., Singh, P. K., Gaba, G. S., & Masud, M., et al. (2021). An exhaustive research on the application of intrusion detection technology in computer network security in sensor networks. Journal of Sensors. Search in Google Scholar

[14] Boris, G., & Diego, R. (2019). Measuring regional ethnolinguistic diversity in sub-saharan africa: surveys vs. gis. The World Bank Economic Review(Supplement_1), Supplement_1. Search in Google Scholar

[15] Lonardi, S., Martini, U., & Hull, J. S. (2020). Minority languages as sustainable tourism resources: from indigenous groups in british columbia (canada) to cimbrian people in giazza (italy). Annals of Tourism Research, 83. Search in Google Scholar

[16] Angelo, D. (2024). Indigenous language ecologies framework:a tool for inserting indigenous contact languages and their speakers into policy in australia. Journal of Pidgin and Creole Languages, 39(1), 34-70. Search in Google Scholar

[17] Dobrushina, N., Khanina, O., Pakendorf, B., Dobrushina, N., & Moroz, G. (2021). The speakers of minority languages are more multilingual:. International Journal of Bilingualism, 25(4), 921-938. Search in Google Scholar

[18] Lasagabaster, D. (2017). Language learning motivation and language attitudes in multilingual spain from an international perspective. Modern Language Journal, 101. Search in Google Scholar

[19] Roche, G., & Suzuki, H. (2018). Tibet’s minority languages: diversity and endangerment. Modern Asian Studies, 1-52. Search in Google Scholar

[20] Kang, B., & Kang, S. (2022). Construction of chinese language teaching system model based on deep learning under the background of artificial intelligence. Scientific programming(Pt.4), 2022. Search in Google Scholar

[21] S.S. Mohanrasu,K. Janani & R. Rakkiyappan.(2024).A COPRAS-based Approach to Multi-Label Feature Selection for Text Classification.Mathematics and Computers in Simulation3-23. Search in Google Scholar

[22] Hashemi Mahdi.(2023).Geographical visualization of tweets, misinformation, and extremism during the USA 2020 presidential election using LSTM, NLP, and GIS.Journal of Big Data(1), Search in Google Scholar

[23] Tao He & Ziyang Gong.(2024).State of health estimation for lithium-ion batteries using a hybrid neural network model with Multi-scale Convolutional Attention Mechanism.Journal of Power Sources234680-. Search in Google Scholar

[24] Kejian Liu, Yuanyuan Feng, Liying Zhang, Rongju Wang, Wei Wang, Xianzhi Yuan.. & Hailing Li. (2023). An Effective Personality-Based Model for Short Text Sentiment Classification Using BiLSTM and Self-Attention.Electronics(15). Search in Google Scholar