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Pages in category "Random text generation" The following 19 pages are in this category, out of 19 total. This list may not reflect recent changes. A. AI Dungeon; B.
A block of auto-text can contain a few letters, words, sentences or paragraphs. [1] It can be chosen by the document author via menu or be offered automatically after typing specific words or letters (word prediction or text prediction), or be added to the document automatically after typing specific words or letters (word / text completion).
The Character Generator Protocol (CHARGEN) service is an Internet protocol intended for testing, debugging, and measurement purposes. The user receives a stream of bytes . Although the specific format of the output is not prescribed by RFC 864 , the recommended pattern (and a de facto standard ) is shifted lines of 72 ASCII characters repeating.
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.
On Wikipedia and other sites running on MediaWiki, Special:Random can be used to access a random article in the main namespace; this feature is useful as a tool to generate a random article. Depending on your browser, it's also possible to load a random page using a keyboard shortcut (in Firefox , Edge , and Chrome Alt-Shift + X ).
The cut-up technique (or découpé in French) is an aleatory narrative technique in which a written text is cut up and rearranged to create a new text. The concept can be traced to the Dadaists of the 1920s, but it was developed and popularized in the 1950s and early 1960s, especially by writer William Burroughs .
Lorem ipsum is typically a corrupted version of De finibus bonorum et malorum, a 1st-century BC text by the Roman statesman and philosopher Cicero, with words altered, added, and removed to make it nonsensical and improper Latin. The first two words themselves are a truncation of dolorem ipsum ("pain itself").
Some unsupervised summarization approaches are based on finding a "centroid" sentence, which is the mean word vector of all the sentences in the document. Then the sentences can be ranked with regard to their similarity to this centroid sentence. A more principled way to estimate sentence importance is using random walks and eigenvector centrality.