Breaking Down Walls: A Literature Review on the Power of Artificial Intelligence in Enhancing Universal Language Connection
سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 44
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شناسه ملی سند علمی:
JR_MEDIA-16-2_007
تاریخ نمایه سازی: 20 مرداد 1404
چکیده مقاله:
Background: Effective communication across linguistic and cultural boundaries is essential for global collaboration, yet language barriers continue to impede interactions. Artificial intelligence (AI), particularly through advancements in Natural Language Processing (NLP) and machine translation, offers transformative potential to bridge these gaps and foster universal language connections. This literature review examines the transformative role of AI in enhancing universal language connections through advanced machine translation and natural language processing, fostering inclusive global communication.Methods: A literature review was conducted using databases such as PubMed, Google Scholar, Scopus, and Web of Science. The search focused on peer-reviewed articles published in English from January ۲۰۲۰ to June ۲۰۲۴, using keywords like ‘artificial intelligence,’ ‘communication,’ ‘natural language processing,’ and ‘machine translation.’ Studies were selected based on methodological rigor, with data extracted independently by two reviewers and synthesized narratively to identify key themes.Results: AI-driven technologies, including machine translation and NLP tools, significantly enhance multilingual communication across sectors such as business, healthcare, and education. Applications like multilingual chat platforms demonstrate high translation accuracy and user satisfaction, facilitating cross-cultural interactions. AI also improves professional communication efficiency and supports personalized language learning, promoting intercultural competence. However, challenges such as translation inaccuracies, algorithmic biases, and ethical concerns necessitate continuous improvement and human oversight.Conclusion: AI is revolutionizing global communication by overcoming linguistic barriers and fostering inclusive interactions. Addressing challenges like accuracy and bias is critical to maximizing its potential. This review highlights AI’s transformative impact and provides a foundation for future research and responsible implementation.
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نویسندگان
Sheida Jamalnia
Department of E-learning in Medical Sciences, Virtual School and Center of Excellence in E-learning, Shiraz University of Medical Sciences, Shiraz, Iran
Zahra Karimian
Department of E-learning in Medical Sciences, Virtual School and Center of Excellence in E-learning, Shiraz University of Medical Sciences, Shiraz, Iran
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