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2. Online rich-text editor - Wikipedia

   en.wikipedia.org/wiki/Online_rich-text_editor

   An online rich-text editor is the interface for editing rich text within web browsers, which presents the user with a "what-you-see-is-what-you-get" (WYSIWYG) editing area. The aim is to reduce the effort for users trying to express their formatting directly as valid HTML markup . Though very early browsers could display rich text, user data ...

3. Lorem ipsum - Wikipedia

   en.wikipedia.org/wiki/Lorem_ipsum

   Using Lorem ipsum to focus attention on graphic elements in a webpage design proposal One of the earliest examples of the Lorem ipsum placeholder text on 1960s advertising. In publishing and graphic design, Lorem ipsum (/ ˌ l ɔː. r ə m ˈ ɪ p. s ə m /) is a placeholder text commonly used to demonstrate the visual form of a document or a typeface without relying on meaningful content.

4. Postmodernism Generator - Wikipedia

   en.wikipedia.org/wiki/Postmodernism_Generator

   The Postmodernism Generator is a computer program that automatically produces "close imitations" of postmodernist writing. It was written in 1996 by Andrew C. Bulhak of Monash University using the Dada Engine, a system for generating random text from recursive grammars. [ 1] A free version is also hosted online.

5. Zalgo text - Wikipedia

   en.wikipedia.org/wiki/Zalgo_text

   Zalgo text. Zalgo text, also known as cursed text or glitch text due to the nature of its use, is digital text that has been modified with numerous combining characters, Unicode symbols used to add diacritics above or below letters, to appear frightening or glitchy . Named for a 2004 Internet creepypasta story that ascribes it to the influence ...

6. Text-to-image model - Wikipedia

   en.wikipedia.org/wiki/Text-to-image_model

   Text-to-image model. An image conditioned on the prompt "an astronaut riding a horse, by Hiroshige ", generated by Stable Diffusion, a large-scale text-to-image model released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.

7. Comparison of parser generators - Wikipedia

   en.wikipedia.org/.../Comparison_of_parser_generators

   To do so technically would require a more sophisticated grammar, like a Chomsky Type 1 grammar, also termed a context-sensitive grammar. However, parser generators for context-free grammars often support the ability for user-written code to introduce limited amounts of context-sensitivity. (For example, upon encountering a variable declaration ...

8. Filler text - Wikipedia

   en.wikipedia.org/wiki/Filler_text

   Filler text (also placeholder text or dummy text) is text that shares some characteristics of a real written text, but is random or otherwise generated. It may be used to display a sample of fonts, generate text for testing, or to spoof an e-mail spam filter. The process of using filler text is sometimes called greeking, although the text ...

9. Textile (markup language) - Wikipedia

   en.wikipedia.org/wiki/Textile_(markup_language)

   Website. textile-lang .com. Textile is a lightweight markup language that uses a text formatting syntax to convert plain text into structured HTML markup. Textile is used for writing articles, forum posts, readme documentation, and any other type of written content published online.