In computer science theory – particularly formal language theory – the Glushkov Construction Algorithm, invented by Victor Mikhailovich Glushkov, transforms a given regular expression into an equivalent nondeterministic finite automaton. Thus, it forms a bridge between regular expressions and nondeterministic finite automata: two abstract representations of the same class of formal languages. A regular expression may be used to conveniently describe an advanced search pattern in a "find and replace"–like operation of a text processing utility. Glushkov's algorithm can be used to transform it into an NFA, which furthermore is small by nature, as the number of its states equals the number of symbols of the regular expression, plus one. Subsequently, the NFA can be made deterministic by the powerset construction and then be minimized to get an optimal automaton corresponding to the given regular expression. The latter format is best suited for execution on a computer. From another, more theoretical point of view, Glushkov's algorithm is a part of the proof that NFA and regular expressions both accept exactly the same languages; that is, the regular languages. The converse of Glushkov's algorithm is Kleene's algorithm, which transforms a finite automaton into a regular expression. The automaton obtained by Glushkov's construction is the same as the one obtained by Thompson's construction algorithm, once its ε-transitions are removed.
Construction
Given a regular expression, the Glushkov Construction Algorithm creates a non-deterministic automaton that accepts the language accepted by. The construction uses four steps:
Step 1
Linearisation of the expression. Each letter of the alphabet appearing in the expression is renamed, so that each letter occurs at most once in the new expression. Glushkov's construction essentially relies on the fact that represents a local language. Let be the old alphabet and let be the new one.
Step 2a
Computation of the sets,, and. The first,, is the set of letters which occurs as first letter of a word of. The second,, is the set of letters which can end a letter of. The last one,, is the set of letter pairs that can occur in words of, i.e. it is the set of factors of length two of the words of. Those sets are mathematically defined by They are computed by induction over the structure of the expression, as explained below.
Computation of the local language, as defined by , ,, and. By definition, the local language defined by the sets,, and is the set of words which begin with a letter of, end by a letter of, and whose factors of length 2 belong to ; that is, it is the language: potentially with the empty word. The computation of the automaton for the local language denoted by this linearised expression is formally known as Glushkov's construction. The construction of the automaton can be done using classical construction operations: concatenation, intersection and iterating an automaton.
Step 4
Erasing the delineation, giving to each letter of the letter of it used to be.
Example
Consider the regular expression
Computation of the set of letters
The computation of the sets,,, and is done inductively over the regular expression. One must give the values for , the letters, and the results of the operations. The most costly operations are the products of sets for the computation of.
Properties
The obtained automaton is non-deterministic, and it has as many states as the number of letters of the regular expression, plus one. Furthermore, it has been shown that Glushkov's automaton is the same as Thompson's automaton when the ε-transitions are removed.
Applications and deterministic expressions
The computation of the automaton by the expression occurs often; it has been systematically used in search functions, in particular by the Unixgrep command. Similarly, XML's specification also uses such constructions; for more efficiency, regular expressions of a certain kind, called deterministic expressions, have been studied.
