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Typical values range from 1/5 em to 1/3 em (in digital typography an em is equal to the nominal size of the font, so for a 10-point font the space will probably be between 2 and 3.3 points). Sophisticated fonts may have differently sized spaces for bold, italic, and small-caps faces, and often compositors will manually adjust the width of the ...
The actual, physical height of any given portion of the font depends on the user-defined DPI setting, current element font-size, and the particular font being used. To make style rules that depend only on the default font size, another unit was developed: the rem. The rem «rem unit», or root-em, is the font size of the root element of the ...
Opening such files with a text editor reveals them embedded with various binary characters, either around the formatted text (e.g. in WordPerfect) or separate from it, at the beginning or end of the file (e.g. in Microsoft Word). Formatted text documents in binary files have, however, the disadvantages of formatting scope and secrecy.
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In metal type, the point size of a font describes the height of the metal body on which that font's characters were cast. In digital type, letters of a computer font are designed around an imaginary space called an em square. When a point size of a font is specified, the font is scaled so that its em square has a side length of that particular ...
The PLATO system was launched in 1960 at the University of Illinois and subsequently commercially marketed by Control Data Corporation.It offered early forms of social media features with innovations such as Notes, PLATO's message-forum application; TERM-talk, its instant-messaging feature; Talkomatic, perhaps the first online chat room; News Report, a crowdsourced online newspaper, and blog ...
WebAssembly (Wasm) defines a portable binary-code format and a corresponding text format for executable programs [2] as well as software interfaces for facilitating communication between such programs and their host environment.
The extraction of text from page images is a difficult engineering task. Smudges on the physical books' pages, fancy fonts, old fonts, torn pages, etc. can all lead to errors in the extracted text. Imperfect OCR is only the first challenge in the ultimate goal of moving from collections of page images to extracted-text based books.