让写作时自动显现文献中的隐性规范，帮作者更好融入学术圈
CorpusStudio: Surfacing Emergent Patterns in a Corpus of Prior Work while Writing
- 用文档和句子级模式重建论文写作的分布规律
- 用户修改结构与内容后，对是否遵循规范更有信心
- 适合想快速掌握领域写作风格的研究者
许多领域（如科学界）存在隐性的写作规范。理解这些规范对有效沟通至关重要。作者通过阅读论文并接受反馈逐渐形成隐性认知，但难以将其外化并应用于自身写作。本文提出两种新写作支持机制：(1) 基于语料库的章节标题有序分布；(2) 根据用户草稿和光标位置，检索上下文相关的句子，并对重复出现的词进行算法高亮，帮助识别潜在写作规范。基于16名参与者的实验显示，参与者在使用这些机制后，主动调整了结构与内容，且在参考大量范例后对是否遵循或突破规范更有把握。结果表明，在写作过程中显式呈现他人写作选择的分布具有显著价值。
原文摘要 · Abstract (English)
Many communities, including the scientific community, develop implicit writing norms. Understanding them is crucial for effective communication with that community. Writers gradually develop an implicit understanding of norms by reading papers and receiving feedback on their writing. However, it is difficult to both externalize this knowledge and apply it to one's own writing. We propose two new writing support concepts that reify document and sentence-level patterns in a given text corpus: (1) an ordered distribution over section titles and (2) given the user's draft and cursor location, many retrieved contextually relevant sentences. Recurring words in the latter are algorithmically highlighted to help users see any emergent norms. Study results (N=16) show that participants revised the structure and content using these concepts, gaining confidence in aligning with or breaking norms after reviewing many examples. These results demonstrate the value of reifying distributions over other authors' writing choices during the writing process.
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