How to use AI to quickly generate multilingual versions of academic papers?

AI can rapidly generate multilingual versions of academic papers using specialized neural machine translation (NMT) systems designed for scholarly text, significantly expediting the initial translation phase. While not fully autonomous for publication-ready output without human oversight, it substantially reduces the time investment compared to manual translation. This process relies on academic-domain NMT engines trained on scientific corpora, enhancing accuracy in technical terminology and complex syntax. Essential practices include preparing a glossary of key terms and discipline-specific phrases for consistency, ensuring translations align with academic writing conventions like formality and precision, and using software that maintains original document structure, figures, and equations. Crucially, thorough post-editing by subject-matter proficient linguists is non-negotiable to correct errors, refine nuance, and ensure scholarly rigor. Implement this effectively by first curating a glossary and choosing an AI translation platform specializing in academic content. Second, generate the machine translation, preserving source formatting. Third, conduct mandatory expert post-editing focusing on technical accuracy, discipline-appropriate style, and correct interpretation of data presentation. This method accelerates dissemination to a global audience while maintaining research integrity and coherence.