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Metasyntactic variables used commonly across all programming languages include foobar, foo, bar, baz, qux, quux, corge, grault, garply, waldo, fred, plugh, xyzzy, and thud. [1] [3] Two of these words, plugh and xyzzy, are taken from the game Colossal Cave Adventure. [4] A fuller reference can be found in The Hacker's Dictionary from MIT Press.
The terms foobar (/ ˈ f uː b ɑːr /), foo, bar, baz, qux, quux, [1] and others are used as metasyntactic variables and placeholder names in computer programming or computer-related documentation. [2] They have been used to name entities such as variables, functions, and commands whose exact identity is unimportant and serve only to ...
Grawlix in a speech bubble. Grawlix (/ ˈ ɡ r ɔː l ɪ k s /) or obscenicon is the use of typographical symbols to replace profanity.Mainly used in cartoons and comics, [1] [2] it is used to get around language restrictions or censorship in publishing.
Regular languages are a category of languages (sometimes termed Chomsky Type 3) which can be matched by a state machine (more specifically, by a deterministic finite automaton or a nondeterministic finite automaton) constructed from a regular expression.
WordNet is a lexical database of semantic relations between words that links words into semantic relations including synonyms, hyponyms, and meronyms. The synonyms are grouped into synsets with short definitions and usage examples. It can thus be seen as a combination and extension of a dictionary and thesaurus.
In computer-based language recognition, ANTLR (pronounced antler), or ANother Tool for Language Recognition, is a parser generator that uses a LL(*) algorithm for parsing. ANTLR is the successor to the Purdue Compiler Construction Tool Set ( PCCTS ), first developed in 1989, and is under active development.
A lookahead LR parser (LALR) generator is a software tool that reads a context-free grammar (CFG) and creates an LALR parser which is capable of parsing files written in the context-free language defined by the CFG. LALR parsers are desirable because they are very fast and small in comparison to other types of parsers.
Text Python Any 2013 1.0.1 (2021) Unlicense (PD) perldoc: Larry Wall: Text Perl Any 1994 5.16.3 Artistic, GPL phpDocumentor: Joshua Eichorn Text PHP Any 2000 3.0.0 LGPL for 1.x, MIT for 2+ pydoc: Ka-Ping Yee [1] Text Python Any 2000 in Python core Python: RDoc: Dave Thomas Text C, C++, Ruby Any 2001/12/14 in Ruby core Ruby: ROBODoc: Frans ...