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Dissociated press is a parody generator (a computer program that generates nonsensical text). The generated text is based on another text using the Markov chain technique. The name is a play on "Associated Press" and the psychological term dissociation (although word salad is more typical of conditions like aphasia and schizophrenia – which is, however, frequently confused with dissociative ...
Mark V. Shaney is a third-order Markov chain program, and a Markov text generator. It ingests the sample text (the Tao Te Ching, or the posts of a Usenet group) and creates a massive list of every sequence of three successive words (triplet) which occurs in the text. It then chooses two words at random, and looks for a word which follows those ...
Many work by using techniques such as Markov chains to reprocess real text examples; alternatively, they may be hand-coded. Generated texts can vary from essay length to paragraphs and tweets. (The term "quote generator" can also be used for software that randomly selects real quotations.)
Download as PDF; Printable version; ... Pages in category "Random text generation" The following 19 pages are in this category, out of 19 total. ... Markov chain; R.
Mark V. Shaney is a synthetic Usenet user whose postings in the net.singles newsgroups were generated by Markov chain techniques, based on text from other postings. The username is a play on the words "Markov chain". Many readers were fooled into thinking that the quirky, sometimes uncannily topical posts were written by a real person.
In mathematics, the term infinitesimal generator may refer to: an element of the Lie algebra, associated to a Lie group; Infinitesimal generator (stochastic processes), of a stochastic process; infinitesimal generator matrix, of a continuous time Markov chain, a class of stochastic processes; Infinitesimal generator of a strongly continuous ...
Markov published his first paper on the topic in 1906, [27] [28] and analyzed the pattern of vowels and consonants in the novel Eugeny Onegin using Markov chains. Once a Markov chain is learned on a text corpus , it can then be used as a probabilistic text generator.
Another discrete-time process that may be derived from a continuous-time Markov chain is a δ-skeleton—the (discrete-time) Markov chain formed by observing X(t) at intervals of δ units of time. The random variables X (0), X (δ), X (2δ), ... give the sequence of states visited by the δ-skeleton.