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A normal acronym is a word derived from the initial letters of the words of a phrase, [2] such as radar from "radio detection and ranging". [3] By contrast, a backronym is "an acronym deliberately formed from a phrase whose initial letters spell out a particular word or words, either to create a memorable name or as a fanciful explanation of a ...
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.
This Book Is the Longest Sentence Ever Written and Then Published (2020), by humor writer Dave Cowen, consists of one sentence that runs for 111,111 words, and is a stream of consciousness memoir [9] [10] [11]
Image credits: bexxyboo #2. I was on the clinical dev team for the phase 3 moderna vaccine. Countless people, almost always men, would explain how the vaccine does/doesn’t work after I’ve ...
Reed–Kellogg diagram of the sentence. The sentence is unpunctuated and uses three different readings of the word "buffalo". In order of their first use, these are: a. a city named Buffalo. This is used as a noun adjunct in the sentence; n. the noun buffalo, an animal, in the plural (equivalent to "buffaloes" or "buffalos"), in order to avoid ...
A palindrome is a word, number, phrase, or other sequence of symbols that reads the same backwards as forwards, such as the sentence: "A man, a plan, a canal – Panama". Following is a list of palindromic phrases of two or more words in the English language , found in multiple independent collections of palindromic phrases.
However, parser generators for context-free grammars often support the ability for user-written code to introduce limited amounts of context-sensitivity. (For example, upon encountering a variable declaration, user-written code could save the name and type of the variable into an external data structure, so that these could be checked against ...
GPT-2 was pre-trained on a dataset of 8 million web pages. [2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. [3] [4] [5] GPT-2 was created as a "direct scale-up" of GPT-1 [6] with a ten-fold increase in both its parameter count and the size of its training dataset. [5]