Think of such automata as a (possibly elaborate) if. a "machine" that is defined by possible states, and triggering conditions that control transitions between states. Therefore, like all Type-3 grammatical expressions they can be decided by a finite-state machine, i.e. According to the Chomsky hierarchy regular expressions are a Type-3 (regular) grammar, thus their use forms a regular language.This is in contrast to probabilistic pattern matching in which a pattern is more or less similar to an example. Regular expressions are examples of deterministic pattern matching - they either match a particular expression or not. ![]() The syntax of regular expressions is a programming language in its own right, and is a powerful way of concisely and uniquely defining a pattern. Regular expressions have a flexible syntax that allows them to handle a range of tasks - from trivial substring matches to complex nested motifs. The typical use of a regular expression is to find occurrences of the pattern in a string.
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