Artificial Intelligence Meet Language as Technology Advances in Translation Tools
AI is a technology emulating the intellectual capabilities of the human brain, including the ability to communicate using specific languages. This study was aimed at exploring how the initial concept and development of AI and language can transform into a tool aiding humans in acquiring extensive knowledge, similar to current technology. To achieve this, the authors conducted a Narrative Review and Literature Study. The results of the study's Google Form survey on Artificial Intelligence showed that 89.5% of the respondents were aware of AI, while 10.5% of them were not. Additionally, 78.9% of the respondents preferred Google Translate as a translation tool, while 21.1% of them preferred UDictionary. Subsequently, 52.6% of the respondents frequently used the Translation Tool, whereas 47.4% of them rarely used it. Moreover, 15.8% of the respondents assumed a supplementary assumption of 50%, while 5.3%of them believed that 60% and 30% constituted the conclusion derived from the writings and surveys about the Artificial Intelligence Meet Language as Technology Advance in Translation Tools. It is concluded that the Translator Tool belongs to the category of AI machines, and AI translation results behave more like human translators than bilingual dictionaries
 Liebling, D. J., Lahav, M., Evans, A., Donsbach, A., Holbrook, J., Smus, B., & Boran, L. (2020, April). Unmet needs and opportunities for mobile translation AI. In Proceedings of the 2020 CHI conference on human factors in computing systems (pp. 1-13).
 Broussard, M., Diakopoulos, N., Guzman, A. L., Abebe, R., Dupagne, M., & Chuan, C. H. (2019). Artificial intelligence and journalism. Journalism & Mass Communication Quarterly, 96(3), 673-695.
 Murad, D. F., Heryadi, Y., Wijanarko, B. D., Isa, S. M., & Budiharto, W. (2018, September). Recommendation system for smart LMS using machine learning: a literature review. In 2018 international conference on computing, engineering, and design (ICCED) (pp. 113-118). IEEE.
 Tata Sutabri, T. S., Pamungkur, P., Ade Kurniawan, A. K., & Raymond Erz Saragih, R. E. S. (2019). Automatic attendance system for university student using face recognition based on deep learning. International Journal of Machine Learning and Computing, 9(5), 668-674.
 Santy, R. D., Habibillah, M. I., Dimyati, Y. R., Nofia, V. S., Luckyardi, S., Gaol, T. V., & Oktafiani, D. (2021). Artificial Intelligence as Human Behavior Detection for Auto Personalization Function in Social Media Marketing. International Journal of Research and Applied Technology (INJURATECH), 1(1), 25-34.
 Harapan, A., Indriani, D., Rizkiya, N. F., & Azbi, R. M. (2021). Artificial Intelligence in Architectural Design. International Journal of Design (INJUDES), 1, 1-6.
 Mariyandi, D. D., Sakti, A. W., & Wulandary, V. (2021). Reading Skill of Elementary School Students and Relationship to Foreign Language (German and Japanese) Contained in The Text. International Journal of Research and Applied Technology (INJURATECH), 1(1), 84-89.
 Tamara, Y., Sakti, A. W., & Wulandary, V. (2021). Analysis of the Level of Interest of Junior High School Students in Learning Basic Japanese Language. International Journal of Research and Applied Technology (INJURATECH), 1(1), 109-114.
 Dewiyanti, D., Puspasari, A. M., Kamil, F. S. A., & Ningtyas, B. K. (2021). Exploratory Study of Visual Enhancement to Display Smart Apps on Android Phones for Selasar Imaji Library. International Journal of Design (INJUDES), 1, 17-26.
 Huang, A., Chao, Y., de la Mora Velasco, E., Bilgihan, A., & Wei, W. (2022). When artificial intelligence meets the hospitality and tourism industry: an assessment framework to inform theory and management. Journal of Hospitality and Tourism Insights, 5(5), 1080-1100.
 Martínez-Plumed, F., Gómez, E., & Hernández-Orallo, J. (2021). Futures of artificial intelligence through technology readiness levels. Telematics and Informatics, 58, 101525.
 Kalyanathaya, K. P., Akila, D., & Rajesh, P. (2019). Advances in natural language processing–a survey of current research trends, development tools and industry applications. International Journal of Recent Technology and Engineering, 7(5C), 199-202.
 Zhang, C., & Lu, Y. (2021). Study on artificial intelligence: The state of the art and future prospects. Journal of Industrial Information Integration, 23, 100224.
 Alam, A. (2020). Possibilities and challenges of compounding artificial intelligence in India’s educational landscape. Alam, A.(2020). Possibilities and Challenges of Compounding Artificial Intelligence in India’s Educational Landscape. International Journal of Advanced Science and Technology, 29(5), 5077-5094.
 Chen, X., Zou, D., Xie, H., & Cheng, G. (2021). Twenty years of personalized language learning. Educational Technology & Society, 24(1), 205-222.
 Thieme, A., Belgrave, D., & Doherty, G. (2020). Machine learning in mental health: A systematic review of the HCI literature to support the development of effective and implementable ML systems. ACM Transactions on Computer-Human Interaction (TOCHI), 27(5), 1-53.
 Dragoni, M., Donadello, I., & Eccher, C. (2020). Explainable AI meets persuasiveness: Translating reasoning results into behavioral change advice. Artificial Intelligence in Medicine, 105, 101840.