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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.

  3. Gap buffer - Wikipedia

    en.wikipedia.org/wiki/Gap_buffer

    Below are some examples of operations with buffer gaps. The gap is represented by the empty space between the square brackets. This representation is a bit misleading: in a typical implementation, the endpoints of the gap are tracked using pointers or array indices, and the contents of the gap are ignored; this allows, for example, deletions to be done by adjusting a pointer without changing ...

  4. Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Levenshtein_distance

    A more efficient method would never repeat the same distance calculation. For example, the Levenshtein distance of all possible suffixes might be stored in an array , where [] [] is the distance between the last characters of string s and the last characters of string t. The table is easy to construct one row at a time starting with row 0.

  5. Edit distance - Wikipedia

    en.wikipedia.org/wiki/Edit_distance

    Ukkonen's 1985 algorithm takes a string p, called the pattern, and a constant k; it then builds a deterministic finite state automaton that finds, in an arbitrary string s, a substring whose edit distance to p is at most k [13] (cf. the Aho–Corasick algorithm, which similarly constructs an automaton to search for any of a number of patterns ...

  6. FM-index - Wikipedia

    en.wikipedia.org/wiki/FM-index

    In computer science, an FM-index is a compressed full-text substring index based on the Burrows–Wheeler transform, with some similarities to the suffix array.It was created by Paolo Ferragina and Giovanni Manzini, [1] who describe it as an opportunistic data structure as it allows compression of the input text while still permitting fast substring queries.

  7. String metric - Wikipedia

    en.wikipedia.org/wiki/String_metric

    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.

  8. Use filters to sort and organize messages in AOL Mail

    help.aol.com/articles/use-filters-to-sort-and...

    1. Click the Settings icon | select More Settings. 2. Click Filters. 3. Click the the filter you want to edit. 4. Edit the filter name, rules, or folder. 5. Click Save.

  9. Whitespace character - Wikipedia

    en.wikipedia.org/wiki/Whitespace_character

    A whitespace character is a character data element that represents white space when text is rendered for display by a computer. For example, a space character (U+0020 SPACE, ASCII 32) represents blank space such as a word divider in a Western script. A printable character results in output when rendered, but a whitespace character does not ...