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  2. String metric - Wikipedia

    en.wikipedia.org/wiki/String_metric

    The most widely known string metric is a rudimentary one called the Levenshtein distance (also known as edit distance). [2] 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.

  3. Edit distance - Wikipedia

    en.wikipedia.org/wiki/Edit_distance

    One of the simplest sets of edit operations is that defined by Levenshtein in 1966: [2] Insertion of a single symbol. If a = u v, then inserting the symbol x produces u x v. This can also be denoted ε→ x, using ε to denote the empty string. Deletion of a single symbol changes u x v to u v (x →ε).

  4. 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.

  5. Variable-width encoding - Wikipedia

    en.wikipedia.org/wiki/Variable-width_encoding

    A variable-width encoding is a type of character encoding scheme in which codes of differing lengths are used to encode a character set (a repertoire of symbols) for representation, usually in a computer.

  6. Clipping (morphology) - Wikipedia

    en.wikipedia.org/wiki/Clipping_(morphology)

    Clipping is also different from back-formation, which proceeds by (pseudo-)morpheme rather than segment, and where the new word may differ in sense and word class from its source. [2] In English, clipping may extend to contraction , which mostly involves the elision of a vowel that is replaced by an apostrophe in writing.

  7. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    doc2vec, generates distributed representations of variable-length pieces of texts, such as sentences, paragraphs, or entire documents. [14] [15] doc2vec has been implemented in the C, Python and Java/Scala tools (see below), with the Java and Python versions also supporting inference of document embeddings on new, unseen documents.

  8. String literal - Wikipedia

    en.wikipedia.org/wiki/String_literal

    A string literal or anonymous string is a literal for a string value in the source code of a computer program. Modern programming languages commonly use a quoted sequence of characters, formally "bracketed delimiters", as in x = "foo", where , "foo" is a string literal with value foo. Methods such as escape sequences can be used to avoid the ...

  9. Data truncation - Wikipedia

    en.wikipedia.org/wiki/Data_truncation

    In databases and computer networking data truncation occurs when data or a data stream (such as a file) is stored in a location too short to hold its entire length. [1] Data truncation may occur automatically, such as when a long string is written to a smaller buffer , or deliberately, when only a portion of the data is wanted.