Machine Learning-Based Language Models for Effortless Translation

Authors

  • Rohit Gupta University of Indore, India
  • Tanvi Patel University of Indore, India

Abstract

This research marks a significant breakthrough in the domain of multilingual interaction. Leveraging the capabilities of machine learning, it transforms an abstract notion into a tangible catalyst for global connectivity. Formerly daunting language barriers fade away effortlessly as advanced algorithms decipher and reconstruct linguistic subtleties with unmatched precision. Facilitating seamless translation, it cultivates vibrant cultural exchanges, nurturing comprehension and solidarity among varied societies. This pioneering methodology not only disrupts conventional translation practices but also lays the groundwork for a more interconnected globe, where communication transcends limitations.

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Published

2024-05-12

How to Cite

Gupta, R., & Patel, T. (2024). Machine Learning-Based Language Models for Effortless Translation. MZ Journal of Artificial Intelligence, 1(1), 1−7. Retrieved from http://mzjournal.com/index.php/MZJAI/article/view/121