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The measure is the number of characters per line in a column of text. Using CSS to set the width of a box to 66ch fixes the measure to about 66 characters per line regardless of the text size as the ch unit is defined as the width of the glyph 0 (zero, the Unicode character U+0030) in the element's font. [10]
With various margins – usually from 1–1.5 inches (25–38 mm) for each side, but there is no strict standard – these numbers may shrink to 55–78 CPL. Typometer with the characters per line scales A Fortran coding form (paper). Source code has 72 CPL, but a form is 80-characters wide. Last 8 positions are "identification sequence"
95 characters; the 52 alphabet characters belong to the Latin script. The remaining 43 belong to the common script. The 33 characters classified as ASCII Punctuation & Symbols are also sometimes referred to as ASCII special characters. Often only these characters (and not other Unicode punctuation) are what is meant when an organization says a ...
The Coleman–Liau index is a readability test designed by Meri Coleman and T. L. Liau to gauge the understandability of a text. Like the Flesch–Kincaid Grade Level, Gunning fog index, SMOG index, and Automated Readability Index, its output approximates the U.S. grade level thought necessary to comprehend the text.
Word count is commonly used by translators to determine the price of a translation job. Word counts may also be used to calculate measures of readability and to measure typing and reading speeds (usually in words per minute). When converting character counts to words, a measure of 5 or 6 characters to a word is generally used for English. [1]
The 160-character limit was adopted by Twitter when the site launched in 2006, 20 characters were reserved for the username, with 140 characters for the tweet. [4] The original limit was seen as an iconic fixture of the platform, [5] [6] [7] encouraging "speed and brevity".
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In information theory, linguistics, and computer science, the Levenshtein distance is a string metric for measuring the difference between two sequences. The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other.