This work is licensed under the Creative Commons Attribution 4.0 International License.
Cheng, A. (2021). Indescribable: the construction and enregisterment of korean american ethnolinguistic identity. Amerasia Journal, 47, 387 - 404.Search in Google Scholar
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
Perera K S. (2019). The securitization of language education. Applied Linguistics, 40.Search in Google Scholar
Sultana, S. (2021). Indigenous ethnic languages in bangladesh: paradoxes of the multilingual ecology. Ethnicities(21), 146879682110215.Search in Google Scholar
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
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
Saul, & Schwartz. (2018). The predicament of language and culture: advocacy, anthropology, and dormant language communities. Journal of Linguistic Anthropology.Search in Google Scholar
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
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
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
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
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
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
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
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
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
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
Lasagabaster, D. (2017). Language learning motivation and language attitudes in multilingual spain from an international perspective. Modern Language Journal, 101.Search in Google Scholar
Roche, G., & Suzuki, H. (2018). Tibet’s minority languages: diversity and endangerment. Modern Asian Studies, 1-52.Search in Google Scholar
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
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
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
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
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