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(The term "quote generator" can also be used for software that randomly selects real quotations.) Further to its esoteric interest, a discussion of parody generation as a useful technique for measuring the success of grammatical inferencing systems is included, along with suggestions for its practical application in areas of language modeling ...
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.
A parody is a creative work designed to imitate, comment on, and/or mock its subject by means of satirical or ironic imitation.Often its subject is an original work or some aspect of it (theme/content, author, style, etc), but a parody can also be about a real-life person (e.g. a politician), event, or movement (e.g. the French Revolution or 1960s counterculture).
So ‘parody generator’ takes on a whole different connotation in the 2020s where text generation is much more common and highly developed. The origins documented in a bunch of these pages and redirects document a much smaller component of the long run history of these technology, computer science, literature and digital culture threads than ...
A statistical machine learning algorithm to detect whether a sentence contained a "That's what she said" double entendre was developed by Kiddon and Brun (2011). [9] There is an open-source Python implementation of Kiddon & Brun's TWSS system. [10] A program to recognize knock-knock jokes was reported by Taylor and Mazlack. [11]
Metafiction is self-conscious about language, literary form, and story-telling, and works of metafiction directly or indirectly draw attention to their status as artifacts. [1] Metafiction is frequently used as a form of parody or a tool to undermine literary conventions and explore the relationship between literature and reality, life and art. [2]
John Clark's Latin Verse Machine (1830–1843) is probably the first example of mechanised generative literature, [1] [2] while Christopher Strachey's love letter generator (1952) is the first digital example. [3] With the large language models (LLMs) of the 2020s, generative literature is becoming increasingly common.
On the other hand, cut-and-paste involves faking the requested sentence from a text-dependent system. [11] Text-dependent speaker verification can be used to defend against replay-based attacks. [29] [31] A current technique that detects end-to-end replay attacks is the use of deep convolutional neural networks. [32]