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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]
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.
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".
Damerau–Levenshtein distance counts as a single edit a common mistake: transposition of two adjacent characters, formally characterized by an operation that changes u x y v into u y x v. [3] [4] For the task of correcting OCR output, merge and split operations have been used which replace a single character into a pair of them or vice versa. [4]
It operates between two input strings, returning a number equivalent to the number of substitutions and deletions needed in order to transform one input string into another. Simplistic string metrics such as Levenshtein distance have expanded to include phonetic, token , grammatical and character-based methods of statistical comparisons.
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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]
XTools shows prose information, including number of characters (under "Prose" in the "General statistics" section). It may be used for an article currently being looked at by selecting the View History tab for the page, then Page Statistics from the line near the top headed External Tools.
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