How can AI writing tools be used to reduce non-academic language in papers?

AI writing tools can assist in reducing non-academic language through automated detection and refinement suggestions. They analyze text to identify colloquialisms, jargon, or informal phrasing unsuitable for scholarly work. These tools utilize natural language processing (NLP) to recognize patterns associated with non-academic expression against academic corpora. Key functionalities include highlighting overly casual terms, suggesting formal synonyms, and flagging ambiguous constructions. Critical precautions include verifying the context and accuracy of AI suggestions, as replacements must preserve precise meaning. Users must also ensure adherence to specific disciplinary conventions and journal guidelines, as AI may not fully grasp nuanced field-specific requirements. Over-reliance without careful review risks introducing errors or inappropriate terminology. In practice, leverage AI during drafting and editing phases to scan manuscripts systematically. Implement by pasting text sections into the tool, reviewing highlighted issues, and selectively applying contextually appropriate revisions. This process enhances clarity and scholarly tone, saving time on manual proofreading while improving readability and professionalism—provided human judgment governs the final acceptance of edits. Its business value lies in increasing manuscript quality and potential acceptance likelihood.