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In digital typography, combining characters are characters that are intended to modify other characters. The most common combining characters in the Latin script are the combining diacritical marks (including combining accents).
Pd, dash Common ⸺ TWO-EM DASH U+2E3A: Pd, dash Common ⸻ THREE-EM DASH U+2E3B: Pd, dash Common ⹀ DOUBLE HYPHEN U+2E40: Pd, dash Common 〜 WAVE DASH U+301C: Pd, dash Common 〰 WAVY DASH U+3030: Pd, dash Common ゠ KATAKANA-HIRAGANA DOUBLE HYPHEN U+30A0: Pd, dash Common ︱ PRESENTATION FORM FOR VERTICAL EM DASH U+FE31: Pd, dash Common ...
Combining Diacritical Marks is a Unicode block containing the most common combining characters.It also contains the character "Combining Grapheme Joiner", which prevents canonical reordering of combining characters, and despite the name, actually separates characters that would otherwise be considered a single grapheme in a given context.
String functions are used in computer programming languages to manipulate a string or query information about a string (some do both).. Most programming languages that have a string datatype will have some string functions although there may be other low-level ways within each language to handle strings directly.
In formal language theory and pattern matching (including regular expressions), the concatenation operation on strings is generalised to an operation on sets of strings as follows: For two sets of strings S 1 and S 2, the concatenation S 1 S 2 consists of all strings of the form vw where v is a string from S 1 and w is a string from S 2, or ...
Spaced en dashes are also used to set aside a phrase – like this – in a sentence; when this is done, it is preferred that a non-breaking space be used before the en dash and a normal one after it: – . Em dash (— or —, MOS:EMDASH) are even longer and are used solely to set aside a phrase—like this—in a sentence.
Combine two names that have special meaning — whether it’s the parents’ names, grandparents’ names, or other special people. This concept is similar to technique No. 2.
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.