Automatic Lexical Generator Last Updated : 23 Jul, 2025 Comments Improve Suggest changes 2 Likes Like Report In this article, we are going to understand automatic lexical generators but before that, we have to understand what is Lexical analysis so let's understand Lexical Analysis. Lexical AnalysisLexical Analysis is the first phase of the compiler, it takes the stream of characters as input and converts that input into tokens also known as tokenization. The token can be classified into various types such as Identifier, Separator, Keyword, Operator, Constant, and Special Character, and further, these tokens will get stored in the symbol table. Lexical Analysis has three phases: Tokenization: It is the process of converting a stream of characters into tokens.Error Messages: The stream of characters we are taking as input is also called lexemes. In this phase we will get error messages related to lexical analysis, It will generate error messages while scanning the input such as illegal characters, unmatched strings, and exceeding length.Comments Elimination: It will eliminate the spaces, tab, and blank spaces and then generates the tokens.Automatic Lexical GeneratorThe Automatic Lexical Generator is a tool that generates a code so that we can perform lexical analysis on that to get the output as tokens. This process is used in compiler design and in the field of computer science. As we have discussed above the process of lexical analysis is to take the stream of characters and later convert it into tokens. The Lexical Generator includes the following steps: In the first step, we give Lex source program as input to the lexical compiler and it will generate the Lex.yy.c files as output.In the second step, we take Lex.yy.c as input to the C compiler and it will generate the file a.out.And now the output file a.out will take the stream of characters and generates a sequence of tokens as an output.Advantages of Automatic Lexical GeneratorsLexical Generators help overcome many problems such as: The main usage of Automatica Lexical Generators is to make Lexical analyzers for any language that too in an easy and efficient manner. Making a Lexical analyzer for any programming language is require the same level of design, coding, and practice to generate the output. In that case, Lexical Generator works efficiently.It is very difficult to make Lexical analyzers for every programming language as it is a very sophisticated process and with the help of Lexical generators we can solve that problem. Create Quiz Comment D dixitaditya2001 Follow 2 Improve D dixitaditya2001 Follow 2 Improve Article Tags : GATE CS Theory of Computation Explore Automata _ IntroductionIntroduction to Theory of Computation5 min readChomsky Hierarchy in Theory of Computation2 min readApplications of various Automata4 min readRegular Expression and Finite AutomataIntroduction of Finite Automata3 min readArden's Theorem in Theory of Computation6 min readSolving Automata Using Arden's Theorem6 min readL-graphs and what they represent in TOC4 min readHypothesis (language regularity) and algorithm (L-graph to NFA) in TOC7 min readRegular Expressions, Regular Grammar and Regular Languages7 min readHow to identify if a language is regular or not8 min readDesigning Finite Automata from Regular Expression (Set 1)4 min readStar Height of Regular Expression and Regular Language3 min readGenerating regular expression from Finite Automata3 min readCode Implementation of Deterministic Finite Automata (Set 1)8 min readProgram for Deterministic Finite Automata7 min readDFA for Strings not ending with "THE"12 min readDFA of a string with at least two 0âs and at least two 1âs3 min readDFA for accepting the language L = { anbm | n+m =even }14 min readDFA machines accepting odd number of 0âs or/and even number of 1âs3 min readDFA of a string in which 2nd symbol from RHS is 'a'10 min readUnion Process in DFA4 min readConcatenation Process in DFA3 min readDFA in LEX code which accepts even number of zeros and even number of ones6 min readConversion from NFA to DFA5 min readMinimization of DFA7 min readReversing Deterministic Finite Automata4 min readComplementation process in DFA2 min readKleene's Theorem in TOC | Part-13 min readMealy and Moore Machines in TOC3 min readDifference Between Mealy Machine and Moore Machine4 min readCFGRelationship between grammar and language in Theory of Computation4 min readSimplifying Context Free Grammars6 min readClosure Properties of Context Free Languages11 min readUnion and Intersection of Regular languages with CFL3 min readConverting Context Free Grammar to Chomsky Normal Form5 min readConverting Context Free Grammar to Greibach Normal Form6 min readPumping Lemma in Theory of Computation4 min readCheck if the language is Context Free or Not4 min readAmbiguity in Context free Grammar and Languages3 min readOperator grammar and precedence parser in TOC6 min readContext-sensitive Grammar (CSG) and Language (CSL)2 min readPDA (Pushdown Automata)Introduction of Pushdown Automata5 min readPushdown Automata Acceptance by Final State4 min readConstruct Pushdown Automata for given languages4 min readConstruct Pushdown Automata for all length palindrome6 min readDetailed Study of PushDown Automata3 min readNPDA for accepting the language L = {anbm cn | m,n>=1}2 min readNPDA for accepting the language L = {an bn cm | m,n>=1}2 min readNPDA for accepting the language L = {anbn | n>=1}2 min readNPDA for accepting the language L = {amb2m| m>=1}2 min readNPDA for accepting the language L = {am bn cp dq | m+n=p+q ; m,n,p,q>=1}2 min readConstruct Pushdown automata for L = {0n1m2m3n | m,n ⥠0}3 min readConstruct Pushdown automata for L = {0n1m2n+m | m, n ⥠0}2 min readNPDA for accepting the language L = {ambncm+n | m,n ⥠1}2 min readNPDA for accepting the language L = {amb(m+n)cn| m,n ⥠1}3 min readNPDA for accepting the language L = {a2mb3m|m>=1}2 min readNPDA for accepting the language L = {amb2m+1 | m ⥠1}2 min readNPDA for accepting the language L = {aibjckdl | i==k or j==l,i>=1,j>=1}3 min readConstruct Pushdown automata for L = {a2mc4ndnbm | m,n ⥠0}3 min readNPDA for L = {0i1j2k | i==j or j==k ; i , j , k >= 1}2 min readNPDA for accepting the language L = {anb2n| n>=1} U {anbn| n>=1}2 min readNPDA for the language L ={wÐ{a,b}* | w contains equal no. of a's and b's}3 min readTuring MachineTuring Machine in TOC7 min readTuring Machine for addition3 min readTuring machine for subtraction | Set 12 min readTuring machine for multiplication2 min readTuring machine for copying data2 min readConstruct a Turing Machine for language L = {0n1n2n | nâ¥1}3 min readConstruct a Turing Machine for language L = {wwr | w ∈ {0, 1}}5 min readConstruct a Turing Machine for language L = {ww | w ∈ {0,1}}7 min readConstruct Turing machine for L = {an bm a(n+m) | n,mâ¥1}3 min readConstruct a Turing machine for L = {aibjck | i*j = k; i, j, k ⥠1}2 min readTuring machine for 1's and 2âs complement3 min readRecursive and Recursive Enumerable Languages in TOC6 min readTuring Machine for subtraction | Set 22 min readHalting Problem in Theory of Computation4 min readTuring Machine as Comparator3 min readDecidabilityDecidable and Undecidable Problems in Theory of Computation6 min readUndecidability and Reducibility in TOC5 min readComputable and non-computable problems in TOC6 min readTOC Interview preparationLast Minute Notes - Theory of Computation13 min readTOC Quiz and PYQ's in TOCTheory of Computation - GATE CSE Previous Year Questions2 min read Like