Download PDFOpen PDF in browserReal Time Language Translation Using AI and MLEasyChair Preprint 123364 pages•Date: March 1, 2024AbstractReal-time language translation using artificial intelligence (AI) and machine learning (ML) techniques has emerged as a critical area of research with profound implications for global communication and connectivity. This paper presents a comprehensive overview of recent advancements and challenges in the field of real-time language translation, focusing on the application of AI and ML methods. We survey state-of- the-art approaches to language translation, including neural machine translation (NMT) models, speech-to-speech translation systems, and cross-lingual transfer learning techniques. Keyphrases: 1.Speech-to-Speech, 2. Language Barrier, 3. Translation, 4. Python, 5.Spyder, 6. Voice-to-Voice, 7.Api
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