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  2. VSdocman - Wikipedia

    en.wikipedia.org/wiki/VSdocman

    VSdocman can read XML comments from the source code. Editing the comments manually may be a difficult task. Therefore, it contains WYSIWYG comment editor which helps writing XML comments and custom topics. It is possible to insert tables, lists, pictures, class diagrams, links and other formatting directly into the source code.

  3. Comparison of documentation generators - Wikipedia

    en.wikipedia.org/wiki/Comparison_of...

    Customisable for all type of comments 'as-is' in comments all general documentation; references, manual, organigrams, ... Including the binary codes included in the comments. all coded comments MkDocs: Natural Docs: NDoc: perldoc: Extend the generator classes through Perl programming. Only linking pdoc: overridable Jinja2 templates

  4. Blob Tree - Wikipedia

    en.wikipedia.org/wiki/Blob_Tree

    The original Blob Tree was created in the early 1980s [2] by Pip Wilson and Ian Long as a way of communicating with young people and adults who found reading difficult. [ 3 ] The Blob Tree collection consists of a set of illustrations of blob figures in various poses and expressions, each representing a different emotion or feeling . [ 4 ]

  5. AOL

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    Sign in to your AOL account to access your email and manage your account information.

  6. Sora (text-to-video model) - Wikipedia

    en.wikipedia.org/wiki/Sora_(text-to-video_model)

    Several other text-to-video generating models had been created prior to Sora, including Meta's Make-A-Video, Runway's Gen-2, and Google's Lumiere, the last of which, as of February 2024, is also still in its research phase. [3]

  7. Today's Wordle Hint, Answer for #1274 on Saturday, December ...

    www.aol.com/todays-wordle-hint-answer-1274...

    Today's Wordle Answer for #1274 on Saturday, December 14, 2024. Today's Wordle answer on Saturday, December 14, 2024, is DROOL. How'd you do? Next: Catch up on other Wordle answers from this week.

  8. AOL

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  9. Topic-prominent language - Wikipedia

    en.wikipedia.org/wiki/Topic-prominent_language

    A topic-prominent language is a language that organizes its syntax to emphasize the topic–comment structure of the sentence. The term is best known in American linguistics from Charles N. Li and Sandra Thompson, who distinguished topic-prominent languages, such as Korean and Japanese, from subject-prominent languages, such as English.