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===Markov text generators=== Markov processes can also be used to [[natural language generation|generate superficially real-looking text]] given a sample document. Markov processes are used in a variety of recreational "[[parody generator]]" software (see [[dissociated press]], Jeff Harrison,<ref>{{Cite web|url=http://www.fieralingue.it/modules.php?name=Content&pa=list_pages_categories&cid=111|archive-url=https://web.archive.org/web/20101206043430/http://www.fieralingue.it/modules.php?name=Content&pa=list_pages_categories&cid=111|url-status=dead |title=Poet's Corner β Fieralingue|archive-date=December 6, 2010}}</ref> [[Mark V. Shaney]],<ref name="Travesty">{{cite journal |last1= Kenner |first1= Hugh |last2= O'Rourke |first2= Joseph |author-link2= Joseph O'Rourke (professor) |title= A Travesty Generator for Micros |date= November 1984 |journal= BYTE |volume= 9 |issue= 12 |pages= 129β131, 449β469 }} </ref><ref name="Hartman">{{cite book|title=Virtual Muse: Experiments in Computer Poetry|last=Hartman|first=Charles|publisher=Wesleyan University Press|year=1996|isbn=978-0-8195-2239-9|place=Hanover, NH|url-access=registration|url=https://archive.org/details/virtualmuseexper00hart}}</ref> and Academias Neutronium). Several open-source text generation libraries using Markov chains exist.
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