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C++ also has complex language features, such as classes, templates, namespaces, and operator overloading, that alter the meaning of specific symbols based on context or usage. Meta-data about these features can be disambiguated by mangling (decorating) the name of a symbol. Because the name-mangling systems for such features are not ...
A rule-based program, performing lexical tokenization, is called tokenizer, [1] or scanner, although scanner is also a term for the first stage of a lexer. A lexer forms the first phase of a compiler frontend in processing. Analysis generally occurs in one pass.
The second is a link to the article that details that symbol, using its Unicode standard name or common alias. (Holding the mouse pointer on the hyperlink will pop up a summary of the symbol's function.); The third gives symbols listed elsewhere in the table that are similar to it in meaning or appearance, or that may be confused with it;
Named after the public official who announced the titles of visiting dignitaries, this cipher uses a small code sheet containing letter, syllable and word substitution tables, sometimes homophonic, that typically converted symbols into numbers. Originally the code portion was restricted to the names of important people, hence the name of the ...
4 Line feed is used for "end of line" in text files on Unix / Linux systems. 5 Carriage Return (accompanied by line feed) is used as "end of line" character by Windows, DOS, and most minicomputers other than Unix- / Linux-based systems 6 Control-O has been the "discard output" key. Output is not sent to the terminal, but discarded, until ...
Lisp programs can generate new symbols at runtime. When Lisp reads data that contains textual represented symbols, existing symbols are referenced. If a symbol is unknown, the Lisp reader creates a new symbol. In Common Lisp, symbols have the following attributes: a name, a value, a function, a list of properties and a package. [6]
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First, it converts raw text containing symbols like numbers and abbreviations into the equivalent of written-out words. This process is often called text normalization, pre-processing, or tokenization. The front-end then assigns phonetic transcriptions to each word, and divides and marks the text into prosodic units, like phrases, clauses, and ...