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2. Automatic summarization - Wikipedia

   en.wikipedia.org/wiki/Automatic_summarization

   An example of a summarization problem is document summarization, which attempts to automatically produce an abstract from a given document. Sometimes one might be interested in generating a summary from a single source document, while others can use multiple source documents (for example, a cluster of articles on the

3. Help:Edit summary - Wikipedia

   en.wikipedia.org/wiki/Help:Edit_summary

   An edit summary is a brief explanation of an edit to a Wikipedia page. Summaries help other editors by (a) providing a reason for the edit, (b) saving the time to open up the edit to find out what it's all about, and (c) providing information about the edit on diff pages and lists of changes (such as page histories and watchlists).

4. Grammarly - Wikipedia

   en.wikipedia.org/wiki/Grammarly

   Grammarly is an English language writing assistant software tool. It reviews the spelling, grammar, and tone of a piece of writing as well as identifying possible instances of plagiarism . It can also suggest style and tonal recommendations to users and produce writing from prompts with its generative AI capabilities.

5. Wikipedia:Basic copyediting - Wikipedia

   en.wikipedia.org/wiki/Wikipedia:Basic_copyediting

   Edit the page by clicking the "Edit" or "Edit source" tab near the top of it or one of the section [edit source] links. Step three Make your changes and fill out an edit summary. Be helpful to the editors who follow you by giving a summary of what you have done. Simple "Copy edit" is fine, but "Edited for tone" is even better.

6. Copy editing - Wikipedia

   en.wikipedia.org/wiki/Copy_editing

   Also, if there is a digital version of a text that the copy editor is editing, the latter can more easily search words, run spell checkers, and generate clean copies of messy pages. The first thing copy editors must do when editing on screen is to copy the author's files, as the original document must be preserved.

7. Multi-document summarization - Wikipedia

   en.wikipedia.org/wiki/Multi-document_summarization

   Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.