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  2. Comparison of regular expression engines - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_regular...

    Fuzzy Regular Expressions for Java: Java: LGPL GLib/GRegex [Note 3] GLib reference manual: C: LGPL GNU regex Gnulib reference manual: C LGPL GNU libc, GNU programs GRETA Microsoft Research: C++ Proprietary Gregex: Grovf Inc. RTL, HLS Proprietary: FPGA accelerated >100 Gbit/s regex engine for cybersecurity, financial, e-commerce industries ...

  3. Comparison of programming languages (string functions)

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

    For function that manipulate strings, modern object-oriented languages, like C# and Java have immutable strings and return a copy (in newly allocated dynamic memory), while others, like C manipulate the original string unless the programmer copies data to a new string.

  4. Regular expression - Wikipedia

    en.wikipedia.org/wiki/Regular_expression

    Every regular expression can be written solely in terms of the Kleene star and set unions over finite words. This is a surprisingly difficult problem. As simple as the regular expressions are, there is no method to systematically rewrite them to some normal form. The lack of axiom in the past led to the star height problem.

  5. Thompson's construction - Wikipedia

    en.wikipedia.org/wiki/Thompson's_construction

    In computer science, Thompson's construction algorithm, also called the McNaughton–Yamada–Thompson algorithm, [1] is a method of transforming a regular expression into an equivalent nondeterministic finite automaton (NFA). [2] This NFA can be used to match strings against the regular expression.

  6. re2c - Wikipedia

    en.wikipedia.org/wiki/Re2c

    Self-validation: [19] re2c has a special mode in which it ignores all used-defined interface code and generates a self-contained skeleton program. Additionally, re2c generates two files: one with the input strings derived from the regular grammar, and one with compressed match results that are used to verify lexer behavior on all inputs.

  7. Approximate string matching - Wikipedia

    en.wikipedia.org/wiki/Approximate_string_matching

    Among them are suffix trees, [5] metric trees [6] and n-gram methods. [ 7 ] [ 8 ] A detailed survey of indexing techniques that allows one to find an arbitrary substring in a text is given by Navarro et al. [ 7 ] A computational survey of dictionary methods (i.e., methods that permit finding all dictionary words that approximately match a ...

  8. Syntax (programming languages) - Wikipedia

    en.wikipedia.org/wiki/Syntax_(programming_languages)

    Below is a simple grammar, defined using the notation of regular expressions and Extended Backus–Naur form. It describes the syntax of S-expressions, a data syntax of the programming language Lisp, which defines productions for the syntactic categories expression, atom, number, symbol, and list:

  9. 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 ...