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The sentence "The most merciful thing in the world, I think, is the inability of the human mind to correlate all its contents", in Zalgo textZalgo text is generated by excessively adding various diacritical marks in the form of Unicode combining characters to the letters in a string of digital text. [4]
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 ...
As an example, the word mojibake itself ("文字化け") stored as EUC-JP might be incorrectly displayed as "ﾊｸｻ ｽ､ｱ", "ﾊｸｻ嵂ｽ､ｱ" , or "ﾊｸｻ郾ｽ､ｱ" if interpreted as Shift-JIS, or as "ʸ»ú²½¤±" in software that assumes text to be in the Windows-1252 or ISO 8859-1 encodings, usually labelled Western or ...
This article by the BBC is an example of the term being used generically. Doshirak: Instant noodles: Paldo Co. Ltd., previously Korea Yakult: Used in Russia to refer to any kind of instant noodles. [100] Dremel: Rotary Tool: Robert Bosch GmbH: Small handheld rotary tools are often called dremels or dremel clones. [citation needed] Durex
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.
For example, many dictionaries use a different color for headwords, and some religious texts color the words of deities red, commonly referred to as rubric. In Ethiopic script, red is used analogously to italics in Latin text. [17] Post-print emphasis added by a reader is often done with highlighters which add a bright background color to usual ...
Ms Ocasio-Cortez requested that, going forward, members of the committee “elevate to the promise of our duties”. “This is an embarrassment, to the time and people of this country,” she said.
Above: An image classifier, an example of a neural network trained with a discriminative objective. Below: A text-to-image model, an example of a network trained with a generative objective. Since its inception, the field of machine learning used both discriminative models and generative models, to model and predict data.