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 2020 to June 2024, 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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