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  2. Damerau–Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Damerau–Levenshtein_distance

    Presented here are two algorithms: the first, [8] simpler one, computes what is known as the optimal string alignment distance or restricted edit distance, [7] while the second one [9] computes the Damerau–Levenshtein distance with adjacent transpositions. Adding transpositions adds significant complexity.

  3. Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Levenshtein_distance

    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.

  4. Combining Diacritical Marks - Wikipedia

    en.wikipedia.org/wiki/Combining_Diacritical_Marks

    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.

  5. Template:Punctuation marks in Unicode - Wikipedia

    en.wikipedia.org/wiki/Template:Punctuation_marks...

    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 ...

  6. Combining character - Wikipedia

    en.wikipedia.org/wiki/Combining_character

    This leads to a requirement to perform Unicode normalization before comparing two Unicode strings and to carefully design encoding converters to correctly map all of the valid ways to represent a character in Unicode to a legacy encoding to avoid data loss.

  7. Approximate string matching - Wikipedia

    en.wikipedia.org/wiki/Approximate_string_matching

    In the array containing the E(x, y) values, we then choose the minimal value in the last row, let it be E(x 2, y 2), and follow the path of computation backwards, back to the row number 0. If the field we arrived at was E(0, y 1), then T[y 1 + 1] ... T[y 2] is a substring of T with the minimal edit distance to the pattern P.

  8. Concatenation - Wikipedia

    en.wikipedia.org/wiki/Concatenation

    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 ...

  9. Comparison of programming languages (string functions)

    en.wikipedia.org/wiki/Comparison_of_programming...

    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.