学术型润色纠错机器人ZT-AI-powered academic document correction tool.

Introduction to Academic Editing & Correction Robot ZT

Academic Editing & Correction Robot ZT (学术型润色纠错机器人ZT) is an AI-powered assistant engineered to improve the clarity, correctness, and academic tone of research writing while preserving technical accuracy and author intent. Its design purpose is to combine deep language modeling with domain-aware rules so that corrections respect discipline-specific terminology, LaTeX/math expressions, and citation conventions. Core capabilities include: (1) sentence-level grammar and punctuation correction with explicit rationale for each change; (2) style and structure suggestions to improve logical flow and argumentation at paragraph and section levels; (3) LaTeX-aware transformations and reference formatting; and (4) configurable output that matches target journals or institutional style guides. Design and pipeline (high-level): a hybrid architecture that pairs a transformer-based language model (for paraphrase, concision, and fluency) with deterministic modules (for citation parsing, LaTeX token protection, and rule-based grammar checks). Inputs can be raw text, Word/Markdown, or LaTeX; outputs can be inline edits, tracked-change documents, a change-log with justifications, and a short revision checklist. Illustrative scenarios: Academic robot functions• Early-draft polishing: a PhD student uploads an abstract and receives a concise version, a list of ambiguous terms to clarify, and example phrasings. Example before/after: Original: 'This study show that a novel method is better.' Edited: 'This study shows that the proposed method improves performance.' Reason: subject-verb agreement; reduce vagueness. • Submission pre-check: an author selects 'IEEE Transactions' style; the bot reflows section headings, checks figure captions for clarity, converts references to IEEE format, and highlights potential formatting issues in LaTeX macros. • Peer-review response help: after receiving reviewer comments, the bot helps rewrite rebuttal text so that it is concise, polite, and precisely addresses the reviewers' concerns while preserving technical content.