How to use AI to improve multilingual expression in papers?

Employing AI can enhance multilingual expression in academic papers through advanced translation, style refinement, and terminology management tools. These systems facilitate drafting and polishing content across languages while striving to maintain academic rigor and coherence. Key principles involve using AI for initial translations and subsequent refinement, requiring high-quality source text input and careful post-editing by the author. Essential conditions include selecting domain-appropriate tools, such as academic writing assistants or specialized translation engines. Precautions are crucial: AI outputs demand meticulous human verification for linguistic accuracy, contextual nuance, and technical correctness to avoid misinterpretations and unoriginal phrasing. Users must be mindful of institutional policies regarding AI assistance and plagiarism detection risks. The practical implementation involves first drafting core ideas clearly in the native language. Next, utilize AI translation tools (e.g., DeepL, specialized academic AI interfaces) to produce an initial multilingual draft. Finally, critically review and extensively edit the AI-generated text, focusing on academic tone, precise terminology, grammatical integrity, and logical flow, comparing the output against reputable multilingual sources. Integrating this workflow improves language accessibility and global reach of research findings.