Regular Expression Lazy Matching

Notes:

In regular expression (regex) lazy matching, the matching engine attempts to match the regex pattern to the input string in the most minimal way possible. This is in contrast to greedy matching, where the matching engine tries to match the regex pattern to the maximum extent possible.

Lazy matching is achieved by using the “?” quantifier after a repetition specifier. For example, the regex pattern “a+?” will match one or more “a” characters in the input string, but it will stop at the first “a” character and will not try to match any additional “a” characters.

Here is an example of lazy matching in action:

Input string: “aaaaaaa” Regex pattern: “a+?” Match: “a”

In this example, the regex pattern “a+?” will match the first “a” character in the input string, because that is the minimal match that satisfies the pattern. If the “?” quantifier were not present, the pattern would match all seven “a” characters in the input string, because that is the maximum match that satisfies the pattern.

Lazy match is a minimal match of a regular expression (regex) pattern to an input string. In a lazy match, the matching engine stops at the first point where the pattern is satisfied, rather than continuing to search for a longer or more complete match.
Lazy matching is a technique in regular expression (regex) processing that involves attempting to match a regex pattern to an input string in the most minimal way possible. Lazy matching is achieved by using the “?” quantifier after a repetition specifier, and it is in contrast to greedy matching, which involves trying to match the pattern to the maximum extent possible.
Lazy pattern matching is the process of using regular expression (regex) patterns to match an input string in the most minimal way possible. Lazy pattern matching is achieved by using the “?” quantifier after a repetition specifier, and it is used to fine-tune the behavior of regex patterns and to avoid matching unnecessary or redundant patterns in the input string.
Lazy quantification is a technique in regular expression (regex) processing that involves using the “?” quantifier after a repetition specifier to match a regex pattern to an input string in the most minimal way possible. Lazy quantification is in contrast to greedy quantification, which involves trying to match the pattern to the maximum extent possible.
Lazy Match based on Semantic Analysis (LMSA) is a technique for matching regular expression (regex) patterns to an input string based on the meaning or semantics of the pattern and the input string. LMSA involves analyzing the semantics of the pattern and the input string to identify the most minimal match that satisfies the pattern, and it can be used to fine-tune the behavior of regex patterns and to avoid matching unnecessary or redundant patterns in the input string.

Wikipedia:

References:

Introducing Regular Expressions (2012)
Efficient Lazy Evaluation of Rule-Based Programs (2010)
Programming for Linguists: Perl for Language Researchers (2008)
Regular Expression Recipes for Windows Developers (2005)

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M Sulzmann, ES Lam – Proceeding of Fourth Workshop …, 2007 – chr2007.workshops.free.fr … branches of the tree concurrently. In this section, we present an alternative to the lazy match search of Section 4: concurrent matching searching. … Yet to the best of our knowledge, we are the first to explicitly explore concurrent and lazy match search techniques. … Cited by 7 Related articles All 9 versions Cite Save More

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[BOOK] Programming for linguists: Perl for language researchers
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[BOOK] ActionScript 3.0 Bible
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