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This page was last edited on 9 December 2016, at 21:47 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.
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 ).
Random pages tests by various editors can be found in Category:Random pages tests, although the category is not comprehensive. The concept of random sampling is not exactly original to Wikipedia; indeed, various editors seem to have independently conceived the idea in Wikipedia's context several times over. The earliest tests date back to 2003.
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 ]
In 1995, the generator had "282 sentence skeletons, 170 independent clauses, 183 adjectives, and 123 nouns". The combination of these elements can form more than one billion sentences. [ 7 ] As of September 2009, the generator has expanded to 3379 independent clauses, 618 adjectives, and 497 nouns. [ 8 ]
Credit - Getty Images. I research and write about happiness, so every year before Jan. 1, I ask people, “What resolutions will you make this year?” With reliable frequency, people tell me ...
Molly Bloom's soliloquy in the James Joyce novel Ulysses (1922) contains a sentence of 3,687 words [6] William Faulkner's Absalom, Absalom! (1936) contains a sentence composed of 1,288 words (in the 1951 Random House version) [6] Jonathan Coe's 2001 novel The Rotters' Club has a sentence with 13,955 words. [6]
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. LexRank [19] is an algorithm essentially identical to TextRank, and both use this approach for document summarization. The two methods were developed ...
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