CFLs and Regular Languages. CFLs and Regular Languages. CFLs and Regular Languages. Will show that all Regular Languages are CFLs. Union.

Size: px
Start display at page:

Download "CFLs and Regular Languages. CFLs and Regular Languages. CFLs and Regular Languages. Will show that all Regular Languages are CFLs. Union."

Transcription

1 We can show that every RL is also a CFL Since a regular grammar is certainly context free. We can also show by only using Regular Expressions and Context Free Grammars That is what we will do in this half. Note: Much of this lecture is not in the text! Will show that all Regular Languages are CFLs - If L 1 and L 2 are CFLs then - L 1 L 2 is a CFL - L 1 L 2 is a CFL - L * 1 is a CFL - With the above shown, showing every Regular Language is also a CFL can be shown using a basic inductive proof. Formally, Let L 1 and L 2 be CFLs. Then there exists CFGs: G 1 = (V 1, T, S 1, P 1 ) G 2 = (V 2, T, S 2, P 2 ) such that L(G 1 ) = L 1 and L(G 2 ) = L 2 Assume that V 1 V 2 = We will define: G u = (V u, T, S u, P u ) such that L(G u ) = L 1 L 2 G c = (V c, T, S c, P c ) such that L(G c ) = L 1 L 2 G k = (V k, T, S k, P k ) such that L(G c ) = L 1 * Union Basic Idea Define the new CFG so that we can either start with the start variable of G 1 and follow the production rules of G 1 or start with the start variable of G 2 and follow the production rules of G 2 Union Formally G u = (V u, T, S u, P u ) V u = V 1 V 2 {S u } S u = S u P u = P 1 P 2 {S u S 1 S 2 } The first case will derive a string in L 1 The second case will derive a string in L 2 1

2 Concatenation General Idea Define the new CFG so that We force a derivation staring from the start variable of G 1 using the rules of G 1 After that We force a derivation staring from the start variable of G 2 using the rules of G 2 Concatenation Formally G c = (V c, T, S c, P c ) V c = V 1 V 2 {S c } S c = S c P u = P 1 P 2 {S c S 1 S 2 } Kleene Star General Idea Define the new CFG so that We can repeatedly concatenate derivations of strings in L 1 Since L * contains λ, we must be careful to assure that there are productions in our new CFG such that λ can be derived from the start variable Kleene star Formally G k = (V k, T, S k, P k ) V k = V 1 {S k } S k = S k P k = P 1 {S k S 1 S k λ } Now we can complete the proof Use an inductive proof Regular Expression Recursive definition of regular languages / expression over Σ : 1. is a regular language and its regular expression is 2. {λ} is a regular language and λ is its regular expression 3. For each a Σ, {a} is a regular language and its regular expression is a 2

3 Regular Expression 4. If L 1 and L 2 are regular languages with regular expressions r 1 and r 2 then -- L 1 L 2 is a regular language with regular expression (r 1 + r 2 ) -- L 1 L 2 is a regular language with regular expression (r 1 r 2 ) -- L 1 * is a regular language with regular expression (r 1* ) Only languages obtainable by using rules 1-4 are regular languages. RE -> CFG Base cases 1. can be expressed as a CFG with no productions 2. {λ} can be expressed by a CFG with the single production S λ 3. For each a Σ, {a} can be expressed by a CFG with the single production S a RE -> CFG Assume R 1 and R 2 are regular expressions that describe languages L 1 and L 2. Then, by the induction hypothesis, L 1 and L 2 are CFLs and as such there are CFGs that describe L 1 and L 2 Create CFGs that describe the the languages: L 1 L 2 Context Free Languages Regular Languages Finite Languages L 1 L 2 L 1 * Which we just did We are done! What have we learned? CFLs are closed under union, concatenation, and Kleene Star Every Regular Language is also a CFL We now have an algorithm, given a Regular Expression, to construct a CGF that describes the same language Find a CFG for the L = ( ) * (01) * ( ) can be described by the CFG with productions: A ( ) * can be described by the CFG with productions: B AB λ A

4 Find a CFG for the L = ( ) * (01) * (01) can be described by the CFG with productions: D 01 (01) * can be described by the CFG with productions: C DC λ D 01 Find a CFG for the L = ( ) * (01) * Putting it all together ( ) * (01) * can be described by the CFG with productions: S BC B AB λ A C DC λ D 01 Questions? You can use proof of closure properties in building CFLs: : Find a CFL for L = {0 i 1 j 0 k j > i + k} Number of 1s is greater than the combined number of 0s This language can be expressed as L = {0 i 1 i 1 m 1 k 0 k m > 0} : Find a CFL for L = {0 i 1 j 0 k j > i + k} This language can be expressed as L = {0 i 1 i 1 m 1 k 0 k m > 0} This is concatenation of 3 languages L 1 L 2 L 3 where L 1 = {0 i 1 i i 0} L 2 = {1 m m > 0} L 3 = {1 k 0 k k 0} CFG for L 1 = {0 i 1 i i 0} A 0A1 λ CFG for L 2 = {1 m m > 0} B 1B 1 CFG for L 3 = {1 k 0 k k 0} C 1C0 λ CFG for L S ABC A 0A1 λ B 1B 1 C 1C0 λ Formally G = (V, T, S, P) where V = {S, A, B, C} Σ = {0, 1} P = {S ABC A 0A1 λ B 1B 1 C 1C0 λ} 4

5 Questions? Practical uses for grammars How a compiler works Source file lexer Stream parser Parse of tokens codegen Tree Object code Theory Hall of Fame The Bell Labs Gang A real practical example Ken Thompson Regular expressions in UNIX / grep / vi Eric E. Schmidt Mike Lesk lex Stephen C Johnson yacc Grammars for programming languages <> <for-> <if-> <> { <> <> } ε <if-> if ( <expr> ) then <> <for-> for ( <expr>; <expr>; <expr>) <> A real practical example Grammars for programming languages Keywords and punctuation are terminals Program constructs are variables Production rules define the syntax of the language Dangling else <> if (<expr>) <> if (<expr>) <> else <> <some_other_> This is really the second step in building a compiler! To which if does the else belong? 5

6 else else In this derivation, the else belongs to the 1 st if A way to fix this <> <matched> <unmatched> <matched> if (<expr>) <matched> else <matched> <other> <unmatched> if (<expr>) <matched> if (<expr>) <unmatched> if (<expr>) <matched> else <unmatched> <matched> represents if statements with matching else <unmatched> represents if statements with at least 1 unmatched if Note what productions are not defined: <> if (<expr>) <unmatched> else <matched> <> if (<expr>) <unmatched> else <unmatched> <unmatched> can not come between if and else matched if ( expr ) unmatched else unmatched if ( expr ) matched NOT ALLOWED if ( expr ) s1 else s1 In this derivation, the else belongs to the 1 st if 6

7 Summary All Regular Languages are CFLs Use regular language operations in constructing CFGs CFGs in compiler design 7

Context-Free Grammars (and Languages) Lecture 7

Context-Free Grammars (and Languages) Lecture 7 Context-Free Grammars (and Languages) Lecture 7 1 Today Beyond regular expressions: Context-Free Grammars (CFGs) What is a CFG? What is the language associated with a CFG? Creating CFGs. Reasoning about

More information

COMP-330 Theory of Computation. Fall Prof. Claude Crépeau. Lec. 10 : Context-Free Grammars

COMP-330 Theory of Computation. Fall Prof. Claude Crépeau. Lec. 10 : Context-Free Grammars COMP-330 Theory of Computation Fall 2017 -- Prof. Claude Crépeau Lec. 10 : Context-Free Grammars COMP 330 Fall 2017: Lectures Schedule 1-2. Introduction 1.5. Some basic mathematics 2-3. Deterministic finite

More information

Properties of Context-Free Languages. Closure Properties Decision Properties

Properties of Context-Free Languages. Closure Properties Decision Properties Properties of Context-Free Languages Closure Properties Decision Properties 1 Closure Properties of CFL s CFL s are closed under union, concatenation, and Kleene closure. Also, under reversal, homomorphisms

More information

Closure Properties of Context-Free Languages. Foundations of Computer Science Theory

Closure Properties of Context-Free Languages. Foundations of Computer Science Theory Closure Properties of Context-Free Languages Foundations of Computer Science Theory Closure Properties of CFLs CFLs are closed under: Union Concatenation Kleene closure Reversal CFLs are not closed under

More information

Before We Start. The Pumping Lemma. Languages. Context Free Languages. Plan for today. Now our picture looks like. Any questions?

Before We Start. The Pumping Lemma. Languages. Context Free Languages. Plan for today. Now our picture looks like. Any questions? Before We Start The Pumping Lemma Any questions? The Lemma & Decision/ Languages Future Exam Question What is a language? What is a class of languages? Context Free Languages Context Free Languages(CFL)

More information

Tasks of lexer. CISC 5920: Compiler Construction Chapter 2 Lexical Analysis. Tokens and lexemes. Buffering

Tasks of lexer. CISC 5920: Compiler Construction Chapter 2 Lexical Analysis. Tokens and lexemes. Buffering Tasks of lexer CISC 5920: Compiler Construction Chapter 2 Lexical Analysis Arthur G. Werschulz Fordham University Department of Computer and Information Sciences Copyright Arthur G. Werschulz, 2017. All

More information

Properties of Context-Free Languages

Properties of Context-Free Languages Properties of Context-Free Languages Seungjin Choi Department of Computer Science and Engineering Pohang University of Science and Technology 77 Cheongam-ro, Nam-gu, Pohang 37673, Korea seungjin@postech.ac.kr

More information

Context Free Grammars

Context Free Grammars Automata and Formal Languages Context Free Grammars Sipser pages 101-111 Lecture 11 Tim Sheard 1 Formal Languages 1. Context free languages provide a convenient notation for recursive description of languages.

More information

Plan for 2 nd half. Just when you thought it was safe. Just when you thought it was safe. Theory Hall of Fame. Chomsky Normal Form

Plan for 2 nd half. Just when you thought it was safe. Just when you thought it was safe. Theory Hall of Fame. Chomsky Normal Form Plan for 2 nd half Pumping Lemma for CFLs The Return of the Pumping Lemma Just when you thought it was safe Return of the Pumping Lemma Recall: With Regular Languages The Pumping Lemma showed that if a

More information

Languages. Languages. An Example Grammar. Grammars. Suppose we have an alphabet V. Then we can write:

Languages. Languages. An Example Grammar. Grammars. Suppose we have an alphabet V. Then we can write: Languages A language is a set (usually infinite) of strings, also known as sentences Each string consists of a sequence of symbols taken from some alphabet An alphabet, V, is a finite set of symbols, e.g.

More information

NPDA, CFG equivalence

NPDA, CFG equivalence NPDA, CFG equivalence Theorem A language L is recognized by a NPDA iff L is described by a CFG. Must prove two directions: ( ) L is recognized by a NPDA implies L is described by a CFG. ( ) L is described

More information

UNIT II REGULAR LANGUAGES

UNIT II REGULAR LANGUAGES 1 UNIT II REGULAR LANGUAGES Introduction: A regular expression is a way of describing a regular language. The various operations are closure, union and concatenation. We can also find the equivalent regular

More information

CSC 4181Compiler Construction. Context-Free Grammars Using grammars in parsers. Parsing Process. Context-Free Grammar

CSC 4181Compiler Construction. Context-Free Grammars Using grammars in parsers. Parsing Process. Context-Free Grammar CSC 4181Compiler Construction Context-ree Grammars Using grammars in parsers CG 1 Parsing Process Call the scanner to get tokens Build a parse tree from the stream of tokens A parse tree shows the syntactic

More information

Finite Automata Theory and Formal Languages TMV027/DIT321 LP4 2018

Finite Automata Theory and Formal Languages TMV027/DIT321 LP4 2018 Finite Automata Theory and Formal Languages TMV027/DIT321 LP4 2018 Lecture 14 Ana Bove May 14th 2018 Recap: Context-free Grammars Simplification of grammars: Elimination of ǫ-productions; Elimination of

More information

The Turing Machine. Computability. The Church-Turing Thesis (1936) Theory Hall of Fame. Theory Hall of Fame. Undecidability

The Turing Machine. Computability. The Church-Turing Thesis (1936) Theory Hall of Fame. Theory Hall of Fame. Undecidability The Turing Machine Computability Motivating idea Build a theoretical a human computer Likened to a human with a paper and pencil that can solve problems in an algorithmic way The theoretical provides a

More information

CPS 220 Theory of Computation

CPS 220 Theory of Computation CPS 22 Theory of Computation Review - Regular Languages RL - a simple class of languages that can be represented in two ways: 1 Machine description: Finite Automata are machines with a finite number of

More information

MA/CSSE 474 Theory of Computation

MA/CSSE 474 Theory of Computation MA/CSSE 474 Theory of Computation CFL Hierarchy CFL Decision Problems Your Questions? Previous class days' material Reading Assignments HW 12 or 13 problems Anything else I have included some slides online

More information

CMSC 330: Organization of Programming Languages. Pushdown Automata Parsing

CMSC 330: Organization of Programming Languages. Pushdown Automata Parsing CMSC 330: Organization of Programming Languages Pushdown Automata Parsing Chomsky Hierarchy Categorization of various languages and grammars Each is strictly more restrictive than the previous First described

More information

Einführung in die Computerlinguistik

Einführung in die Computerlinguistik Einführung in die Computerlinguistik Context-Free Grammars formal properties Laura Kallmeyer Heinrich-Heine-Universität Düsseldorf Summer 2018 1 / 20 Normal forms (1) Hopcroft and Ullman (1979) A normal

More information

Lecture 11 Context-Free Languages

Lecture 11 Context-Free Languages Lecture 11 Context-Free Languages COT 4420 Theory of Computation Chapter 5 Context-Free Languages n { a b : n n { ww } 0} R Regular Languages a *b* ( a + b) * Example 1 G = ({S}, {a, b}, S, P) Derivations:

More information

Context-Free and Noncontext-Free Languages

Context-Free and Noncontext-Free Languages Examples: Context-Free and Noncontext-Free Languages a*b* is regular. A n B n = {a n b n : n 0} is context-free but not regular. A n B n C n = {a n b n c n : n 0} is not context-free The Regular and the

More information

Compiling Techniques

Compiling Techniques Lecture 5: Top-Down Parsing 26 September 2017 The Parser Context-Free Grammar (CFG) Lexer Source code Scanner char Tokeniser token Parser AST Semantic Analyser AST IR Generator IR Errors Checks the stream

More information

Ogden s Lemma for CFLs

Ogden s Lemma for CFLs Ogden s Lemma for CFLs Theorem If L is a context-free language, then there exists an integer l such that for any u L with at least l positions marked, u can be written as u = vwxyz such that 1 x and at

More information

Ambiguity, Precedence, Associativity & Top-Down Parsing. Lecture 9-10

Ambiguity, Precedence, Associativity & Top-Down Parsing. Lecture 9-10 Ambiguity, Precedence, Associativity & Top-Down Parsing Lecture 9-10 (From slides by G. Necula & R. Bodik) 2/13/2008 Prof. Hilfinger CS164 Lecture 9 1 Administrivia Team assignments this evening for all

More information

Compiling Techniques

Compiling Techniques Lecture 3: Introduction to 22 September 2017 Reminder Action Create an account and subscribe to the course on piazza. Coursework Starts this afternoon (14.10-16.00) Coursework description is updated regularly;

More information

HKN CS/ECE 374 Midterm 1 Review. Nathan Bleier and Mahir Morshed

HKN CS/ECE 374 Midterm 1 Review. Nathan Bleier and Mahir Morshed HKN CS/ECE 374 Midterm 1 Review Nathan Bleier and Mahir Morshed For the most part, all about strings! String induction (to some extent) Regular languages Regular expressions (regexps) Deterministic finite

More information

TAFL 1 (ECS-403) Unit- III. 3.1 Definition of CFG (Context Free Grammar) and problems. 3.2 Derivation. 3.3 Ambiguity in Grammar

TAFL 1 (ECS-403) Unit- III. 3.1 Definition of CFG (Context Free Grammar) and problems. 3.2 Derivation. 3.3 Ambiguity in Grammar TAFL 1 (ECS-403) Unit- III 3.1 Definition of CFG (Context Free Grammar) and problems 3.2 Derivation 3.3 Ambiguity in Grammar 3.3.1 Inherent Ambiguity 3.3.2 Ambiguous to Unambiguous CFG 3.4 Simplification

More information

Context Free Languages and Grammars

Context Free Languages and Grammars Algorithms & Models of Computation CS/ECE 374, Fall 2017 Context Free Languages and Grammars Lecture 7 Tuesday, September 19, 2017 Sariel Har-Peled (UIUC) CS374 1 Fall 2017 1 / 36 What stack got to do

More information

CSCI Compiler Construction

CSCI Compiler Construction CSCI 742 - Compiler Construction Lecture 12 Cocke-Younger-Kasami (CYK) Algorithm Instructor: Hossein Hojjat February 20, 2017 Recap: Chomsky Normal Form (CNF) A CFG is in Chomsky Normal Form if each rule

More information

Einführung in die Computerlinguistik Kontextfreie Grammatiken - Formale Eigenschaften

Einführung in die Computerlinguistik Kontextfreie Grammatiken - Formale Eigenschaften Normal forms (1) Einführung in die Computerlinguistik Kontextfreie Grammatiken - Formale Eigenschaften Laura Heinrich-Heine-Universität Düsseldorf Sommersemester 2013 normal form of a grammar formalism

More information

Bottom-Up Syntax Analysis

Bottom-Up Syntax Analysis Bottom-Up Syntax Analysis Mooly Sagiv http://www.cs.tau.ac.il/~msagiv/courses/wcc13.html Textbook:Modern Compiler Design Chapter 2.2.5 (modified) 1 Pushdown automata Deterministic fficient Parsers Report

More information

FLAC Context-Free Grammars

FLAC Context-Free Grammars FLAC Context-Free Grammars Klaus Sutner Carnegie Mellon Universality Fall 2017 1 Generating Languages Properties of CFLs Generation vs. Recognition 3 Turing machines can be used to check membership in

More information

CS5371 Theory of Computation. Lecture 7: Automata Theory V (CFG, CFL, CNF)

CS5371 Theory of Computation. Lecture 7: Automata Theory V (CFG, CFL, CNF) CS5371 Theory of Computation Lecture 7: Automata Theory V (CFG, CFL, CNF) Announcement Homework 2 will be given soon (before Tue) Due date: Oct 31 (Tue), before class Midterm: Nov 3, (Fri), first hour

More information

Context-free Grammars and Languages

Context-free Grammars and Languages Context-free Grammars and Languages COMP 455 002, Spring 2019 Jim Anderson (modified by Nathan Otterness) 1 Context-free Grammars Context-free grammars provide another way to specify languages. Example:

More information

SYLLABUS. Introduction to Finite Automata, Central Concepts of Automata Theory. CHAPTER - 3 : REGULAR EXPRESSIONS AND LANGUAGES

SYLLABUS. Introduction to Finite Automata, Central Concepts of Automata Theory. CHAPTER - 3 : REGULAR EXPRESSIONS AND LANGUAGES Contents i SYLLABUS UNIT - I CHAPTER - 1 : AUT UTOMA OMATA Introduction to Finite Automata, Central Concepts of Automata Theory. CHAPTER - 2 : FINITE AUT UTOMA OMATA An Informal Picture of Finite Automata,

More information

What Is a Language? Grammars, Languages, and Machines. Strings: the Building Blocks of Languages

What Is a Language? Grammars, Languages, and Machines. Strings: the Building Blocks of Languages Do Homework 2. What Is a Language? Grammars, Languages, and Machines L Language Grammar Accepts Machine Strings: the Building Blocks of Languages An alphabet is a finite set of symbols: English alphabet:

More information

Automata & languages. A primer on the Theory of Computation. Laurent Vanbever. ETH Zürich (D-ITET) October,

Automata & languages. A primer on the Theory of Computation. Laurent Vanbever.   ETH Zürich (D-ITET) October, Automata & languages A primer on the Theory of Computation Laurent Vanbever www.vanbever.eu ETH Zürich (D-ITET) October, 5 2017 Part 3 out of 5 Last week, we learned about closure and equivalence of regular

More information

Part 3 out of 5. Automata & languages. A primer on the Theory of Computation. Last week, we learned about closure and equivalence of regular languages

Part 3 out of 5. Automata & languages. A primer on the Theory of Computation. Last week, we learned about closure and equivalence of regular languages Automata & languages A primer on the Theory of Computation Laurent Vanbever www.vanbever.eu Part 3 out of 5 ETH Zürich (D-ITET) October, 5 2017 Last week, we learned about closure and equivalence of regular

More information

Compiler Construction Lent Term 2015 Lectures (of 16)

Compiler Construction Lent Term 2015 Lectures (of 16) Compiler Construction Lent Term 2015 Lectures 13 --- 16 (of 16) 1. Return to lexical analysis : application of Theory of Regular Languages and Finite Automata 2. Generating Recursive descent parsers 3.

More information

Compiler Construction Lent Term 2015 Lectures (of 16)

Compiler Construction Lent Term 2015 Lectures (of 16) Compiler Construction Lent Term 2015 Lectures 13 --- 16 (of 16) 1. Return to lexical analysis : application of Theory of Regular Languages and Finite Automata 2. Generating Recursive descent parsers 3.

More information

MTH401A Theory of Computation. Lecture 17

MTH401A Theory of Computation. Lecture 17 MTH401A Theory of Computation Lecture 17 Chomsky Normal Form for CFG s Chomsky Normal Form for CFG s For every context free language, L, the language L {ε} has a grammar in which every production looks

More information

Non-context-Free Languages. CS215, Lecture 5 c

Non-context-Free Languages. CS215, Lecture 5 c Non-context-Free Languages CS215, Lecture 5 c 2007 1 The Pumping Lemma Theorem. (Pumping Lemma) Let be context-free. There exists a positive integer divided into five pieces, Proof for for each, and..

More information

COSE312: Compilers. Lecture 2 Lexical Analysis (1)

COSE312: Compilers. Lecture 2 Lexical Analysis (1) COSE312: Compilers Lecture 2 Lexical Analysis (1) Hakjoo Oh 2017 Spring Hakjoo Oh COSE312 2017 Spring, Lecture 2 March 12, 2017 1 / 15 Lexical Analysis ex) Given a C program float match0 (char *s) /* find

More information

Compiling Techniques

Compiling Techniques Lecture 5: Top-Down Parsing 6 October 2015 The Parser Context-Free Grammar (CFG) Lexer Source code Scanner char Tokeniser token Parser AST Semantic Analyser AST IR Generator IR Errors Checks the stream

More information

Computability and Complexity

Computability and Complexity Computability and Complexity Lecture 10 More examples of problems in P Closure properties of the class P The class NP given by Jiri Srba Lecture 10 Computability and Complexity 1/12 Example: Relatively

More information

Automata Theory CS F-08 Context-Free Grammars

Automata Theory CS F-08 Context-Free Grammars Automata Theory CS411-2015F-08 Context-Free Grammars David Galles Department of Computer Science University of San Francisco 08-0: Context-Free Grammars Set of Terminals (Σ) Set of Non-Terminals Set of

More information

Ogden s Lemma. and Formal Languages. Automata Theory CS 573. The proof is similar but more fussy. than the proof of the PL4CFL.

Ogden s Lemma. and Formal Languages. Automata Theory CS 573. The proof is similar but more fussy. than the proof of the PL4CFL. CS 573 Automata Theory and Formal Languages Professor Leslie Lander Lecture # 24 December 4, 2000 Ogden s Lemma (6.2) Let L be a CFL, then there is a constant n such that if z is a word in L with z > n

More information

Context-Free Languages (Pre Lecture)

Context-Free Languages (Pre Lecture) Context-Free Languages (Pre Lecture) Dr. Neil T. Dantam CSCI-561, Colorado School of Mines Fall 2017 Dantam (Mines CSCI-561) Context-Free Languages (Pre Lecture) Fall 2017 1 / 34 Outline Pumping Lemma

More information

Compiling Techniques

Compiling Techniques Lecture 7: Abstract Syntax 13 October 2015 Table of contents Syntax Tree 1 Syntax Tree Semantic Actions Examples Abstract Grammar 2 Internal Representation AST Builder 3 Visitor Processing Semantic Actions

More information

CS20a: summary (Oct 24, 2002)

CS20a: summary (Oct 24, 2002) CS20a: summary (Oct 24, 2002) Context-free languages Grammars G = (V, T, P, S) Pushdown automata N-PDA = CFG D-PDA < CFG Today What languages are context-free? Pumping lemma (similar to pumping lemma for

More information

Compiling Techniques

Compiling Techniques Lecture 6: 9 October 2015 Announcement New tutorial session: Friday 2pm check ct course webpage to find your allocated group Table of contents 1 2 Ambiguity s Bottom-Up Parser A bottom-up parser builds

More information

Tree Adjoining Grammars

Tree Adjoining Grammars Tree Adjoining Grammars TAG: Parsing and formal properties Laura Kallmeyer & Benjamin Burkhardt HHU Düsseldorf WS 2017/2018 1 / 36 Outline 1 Parsing as deduction 2 CYK for TAG 3 Closure properties of TALs

More information

Context-Free Grammars and Languages. We have seen that many languages cannot be regular. Thus we need to consider larger classes of langs.

Context-Free Grammars and Languages. We have seen that many languages cannot be regular. Thus we need to consider larger classes of langs. Context-Free Grammars and Languages We have seen that many languages cannot be regular. Thus we need to consider larger classes of langs. Contex-Free Languages (CFL s) played a central role natural languages

More information

Introduction and Motivation. Introduction and Motivation. Introduction to Computability. Introduction and Motivation. Theory. Lecture5: Context Free

Introduction and Motivation. Introduction and Motivation. Introduction to Computability. Introduction and Motivation. Theory. Lecture5: Context Free ntroduction to Computability Theory Lecture5: Context Free Languages Prof. Amos sraeli 1 ntroduction and Motivation n our study of RL-s we Covered: 1. Motivation and definition of regular languages. 2.

More information

Intro to Theory of Computation

Intro to Theory of Computation Intro to Theory of Computation LECTURE 7 Last time: Proving a language is not regular Pushdown automata (PDAs) Today: Context-free grammars (CFG) Equivalence of CFGs and PDAs Sofya Raskhodnikova 1/31/2016

More information

Pushdown Automata: Introduction (2)

Pushdown Automata: Introduction (2) Pushdown Automata: Introduction Pushdown automaton (PDA) M = (K, Σ, Γ,, s, A) where K is a set of states Σ is an input alphabet Γ is a set of stack symbols s K is the start state A K is a set of accepting

More information

Problem Session 5 (CFGs) Talk about the building blocks of CFGs: S 0S 1S ε - everything. S 0S0 1S1 A - waw R. S 0S0 0S1 1S0 1S1 A - xay, where x = y.

Problem Session 5 (CFGs) Talk about the building blocks of CFGs: S 0S 1S ε - everything. S 0S0 1S1 A - waw R. S 0S0 0S1 1S0 1S1 A - xay, where x = y. CSE2001, Fall 2006 1 Problem Session 5 (CFGs) Talk about the building blocks of CFGs: S 0S 1S ε - everything. S 0S0 1S1 A - waw R. S 0S0 0S1 1S0 1S1 A - xay, where x = y. S 00S1 A - xay, where x = 2 y.

More information

CSCI 1010 Models of Computa3on. Lecture 17 Parsing Context-Free Languages

CSCI 1010 Models of Computa3on. Lecture 17 Parsing Context-Free Languages CSCI 1010 Models of Computa3on Lecture 17 Parsing Context-Free Languages Overview BoCom-up parsing of CFLs. BoCom-up parsing via the CKY algorithm An O(n 3 ) algorithm John E. Savage CSCI 1010 Lect 17

More information

Syntax Analysis Part I

Syntax Analysis Part I 1 Syntax Analysis Part I Chapter 4 COP5621 Compiler Construction Copyright Robert van Engelen, Florida State University, 2007-2013 2 Position of a Parser in the Compiler Model Source Program Lexical Analyzer

More information

Chap. 7 Properties of Context-free Languages

Chap. 7 Properties of Context-free Languages Chap. 7 Properties of Context-free Languages 7.1 Normal Forms for Context-free Grammars Context-free grammars A where A N, (N T). 0. Chomsky Normal Form A BC or A a except S where A, B, C N, a T. 1. Eliminating

More information

Section 1 (closed-book) Total points 30

Section 1 (closed-book) Total points 30 CS 454 Theory of Computation Fall 2011 Section 1 (closed-book) Total points 30 1. Which of the following are true? (a) a PDA can always be converted to an equivalent PDA that at each step pops or pushes

More information

Properties of Context-free Languages. Reading: Chapter 7

Properties of Context-free Languages. Reading: Chapter 7 Properties of Context-free Languages Reading: Chapter 7 1 Topics 1) Simplifying CFGs, Normal forms 2) Pumping lemma for CFLs 3) Closure and decision properties of CFLs 2 How to simplify CFGs? 3 Three ways

More information

Simplification and Normalization of Context-Free Grammars

Simplification and Normalization of Context-Free Grammars implification and Normalization, of Context-Free Grammars 20100927 Slide 1 of 23 Simplification and Normalization of Context-Free Grammars 5DV037 Fundamentals of Computer Science Umeå University Department

More information

Functions on languages:

Functions on languages: MA/CSSE 474 Final Exam Notation and Formulas page Name (turn this in with your exam) Unless specified otherwise, r,s,t,u,v,w,x,y,z are strings over alphabet Σ; while a, b, c, d are individual alphabet

More information

Miscellaneous. Closure Properties Decision Properties

Miscellaneous. Closure Properties Decision Properties Miscellaneous Closure Properties Decision Properties 1 Closure Properties of CFL s CFL s are closed under union, concatenation, and Kleene closure. Also, under reversal, homomorphisms and inverse homomorphisms.

More information

Foundations of Informatics: a Bridging Course

Foundations of Informatics: a Bridging Course Foundations of Informatics: a Bridging Course Week 3: Formal Languages and Semantics Thomas Noll Lehrstuhl für Informatik 2 RWTH Aachen University noll@cs.rwth-aachen.de http://www.b-it-center.de/wob/en/view/class211_id948.html

More information

Syntax Analysis Part I. Position of a Parser in the Compiler Model. The Parser. Chapter 4

Syntax Analysis Part I. Position of a Parser in the Compiler Model. The Parser. Chapter 4 1 Syntax Analysis Part I Chapter 4 COP5621 Compiler Construction Copyright Robert van ngelen, Flora State University, 2007 Position of a Parser in the Compiler Model 2 Source Program Lexical Analyzer Lexical

More information

Parsing. Context-Free Grammars (CFG) Laura Kallmeyer. Winter 2017/18. Heinrich-Heine-Universität Düsseldorf 1 / 26

Parsing. Context-Free Grammars (CFG) Laura Kallmeyer. Winter 2017/18. Heinrich-Heine-Universität Düsseldorf 1 / 26 Parsing Context-Free Grammars (CFG) Laura Kallmeyer Heinrich-Heine-Universität Düsseldorf Winter 2017/18 1 / 26 Table of contents 1 Context-Free Grammars 2 Simplifying CFGs Removing useless symbols Eliminating

More information

Harvard CS 121 and CSCI E-207 Lecture 10: CFLs: PDAs, Closure Properties, and Non-CFLs

Harvard CS 121 and CSCI E-207 Lecture 10: CFLs: PDAs, Closure Properties, and Non-CFLs Harvard CS 121 and CSCI E-207 Lecture 10: CFLs: PDAs, Closure Properties, and Non-CFLs Harry Lewis October 8, 2013 Reading: Sipser, pp. 119-128. Pushdown Automata (review) Pushdown Automata = Finite automaton

More information

Note: In any grammar here, the meaning and usage of P (productions) is equivalent to R (rules).

Note: In any grammar here, the meaning and usage of P (productions) is equivalent to R (rules). Note: In any grammar here, the meaning and usage of P (productions) is equivalent to R (rules). 1a) G = ({R, S, T}, {0,1}, P, S) where P is: S R0R R R0R1R R1R0R T T 0T ε (S generates the first 0. R generates

More information

Context-free grammars and languages

Context-free grammars and languages Context-free grammars and languages The next class of languages we will study in the course is the class of context-free languages. They are defined by the notion of a context-free grammar, or a CFG for

More information

CS481F01 Solutions 8

CS481F01 Solutions 8 CS481F01 Solutions 8 A. Demers 7 Dec 2001 1. Prob. 111 from p. 344 of the text. One of the following sets is r.e. and the other is not. Which is which? (a) { i L(M i ) contains at least 481 elements }

More information

From EBNF to PEG. Roman R. Redziejowski. Giraf s Research

From EBNF to PEG. Roman R. Redziejowski. Giraf s Research From EBNF to PEG Roman R. Redziejowski Giraf s Research roman.redz@swipnet.se Abstract. Parsing Expression Grammar (PEG) is a way to define a recursive-descent parser with limited backtracking. Its properties

More information

Harvard CS 121 and CSCI E-207 Lecture 12: General Context-Free Recognition

Harvard CS 121 and CSCI E-207 Lecture 12: General Context-Free Recognition Harvard CS 121 and CSCI E-207 Lecture 12: General Context-Free Recognition Salil Vadhan October 11, 2012 Reading: Sipser, Section 2.3 and Section 2.1 (material on Chomsky Normal Form). Pumping Lemma for

More information

CA Compiler Construction

CA Compiler Construction CA4003 - Compiler Construction Bottom Up Parsing David Sinclair Bottom Up Parsing LL(1) parsers have enjoyed a bit of a revival thanks to JavaCC. LL(k) parsers must predict which production rule to use

More information

This Lecture will Cover...

This Lecture will Cover... Last Lecture Covered... DFAs, NFAs, -NFAs and the equivalence of the language classes they accept Last Lecture Covered... This Lecture will Cover... Introduction to regular expressions and regular languages

More information

CSE 105 THEORY OF COMPUTATION

CSE 105 THEORY OF COMPUTATION CSE 105 THEORY OF COMPUTATION Spring 2016 http://cseweb.ucsd.edu/classes/sp16/cse105-ab/ Today's learning goals Sipser Ch 2 Define push down automata Trace the computation of a push down automaton Design

More information

The Pumping Lemma for Context Free Grammars

The Pumping Lemma for Context Free Grammars The Pumping Lemma for Context Free Grammars Chomsky Normal Form Chomsky Normal Form (CNF) is a simple and useful form of a CFG Every rule of a CNF grammar is in the form A BC A a Where a is any terminal

More information

60-354, Theory of Computation Fall Asish Mukhopadhyay School of Computer Science University of Windsor

60-354, Theory of Computation Fall Asish Mukhopadhyay School of Computer Science University of Windsor 60-354, Theory of Computation Fall 2013 Asish Mukhopadhyay School of Computer Science University of Windsor Pushdown Automata (PDA) PDA = ε-nfa + stack Acceptance ε-nfa enters a final state or Stack is

More information

Theory of Computation - Module 3

Theory of Computation - Module 3 Theory of Computation - Module 3 Syllabus Context Free Grammar Simplification of CFG- Normal forms-chomsky Normal form and Greibach Normal formpumping lemma for Context free languages- Applications of

More information

Lecture 17: Language Recognition

Lecture 17: Language Recognition Lecture 17: Language Recognition Finite State Automata Deterministic and Non-Deterministic Finite Automata Regular Expressions Push-Down Automata Turing Machines Modeling Computation When attempting to

More information

MA/CSSE 474 Theory of Computation

MA/CSSE 474 Theory of Computation MA/CSSE 474 Theory of Computation Bottom-up parsing Pumping Theorem for CFLs Recap: Going One Way Lemma: Each context-free language is accepted by some PDA. Proof (by construction): The idea: Let the stack

More information

Finite Automata and Formal Languages TMV026/DIT321 LP4 2012

Finite Automata and Formal Languages TMV026/DIT321 LP4 2012 Finite Automata and Formal Languages TMV26/DIT32 LP4 22 Lecture 7 Ana Bove March 27th 22 Overview of today s lecture: Regular Expressions From FA to RE Regular Expressions Regular expressions (RE) are

More information

Structural Induction

Structural Induction Structural Induction In this lecture we ll extend the applicability of induction to many universes, ones where we can define certain kinds of objects by induction, in addition to proving their properties

More information

Syntax Analysis Part I

Syntax Analysis Part I 1 Syntax Analysis Part I Chapter 4 COP5621 Compiler Construction Copyright Robert van Engelen, Florida State University, 2007-2013 2 Position of a Parser in the Compiler Model Source Program Lexical Analyzer

More information

This lecture covers Chapter 5 of HMU: Context-free Grammars

This lecture covers Chapter 5 of HMU: Context-free Grammars This lecture covers Chapter 5 of HMU: Context-free rammars (Context-free) rammars (Leftmost and Rightmost) Derivations Parse Trees An quivalence between Derivations and Parse Trees Ambiguity in rammars

More information

CS5371 Theory of Computation. Lecture 9: Automata Theory VII (Pumping Lemma, Non-CFL)

CS5371 Theory of Computation. Lecture 9: Automata Theory VII (Pumping Lemma, Non-CFL) CS5371 Theory of Computation Lecture 9: Automata Theory VII (Pumping Lemma, Non-CFL) Objectives Introduce Pumping Lemma for CFL Apply Pumping Lemma to show that some languages are non-cfl Pumping Lemma

More information

THEORY OF COMPUTATION (AUBER) EXAM CRIB SHEET

THEORY OF COMPUTATION (AUBER) EXAM CRIB SHEET THEORY OF COMPUTATION (AUBER) EXAM CRIB SHEET Regular Languages and FA A language is a set of strings over a finite alphabet Σ. All languages are finite or countably infinite. The set of all languages

More information

SCHEME FOR INTERNAL ASSESSMENT TEST 3

SCHEME FOR INTERNAL ASSESSMENT TEST 3 SCHEME FOR INTERNAL ASSESSMENT TEST 3 Max Marks: 40 Subject& Code: Automata Theory & Computability (15CS54) Sem: V ISE (A & B) Note: Answer any FIVE full questions, choosing one full question from each

More information

Introduction to Language Theory and Compilation: Exercises. Session 2: Regular expressions

Introduction to Language Theory and Compilation: Exercises. Session 2: Regular expressions Introduction to Language Theory and Compilation: Exercises Session 2: Regular expressions Regular expressions (RE) Finite automata are an equivalent formalism to regular languages (for each regular language,

More information

CS415 Compilers Syntax Analysis Bottom-up Parsing

CS415 Compilers Syntax Analysis Bottom-up Parsing CS415 Compilers Syntax Analysis Bottom-up Parsing These slides are based on slides copyrighted by Keith Cooper, Ken Kennedy & Linda Torczon at Rice University Review: LR(k) Shift-reduce Parsing Shift reduce

More information

An Efficient Context-Free Parsing Algorithm. Speakers: Morad Ankri Yaniv Elia

An Efficient Context-Free Parsing Algorithm. Speakers: Morad Ankri Yaniv Elia An Efficient Context-Free Parsing Algorithm Speakers: Morad Ankri Yaniv Elia Yaniv: Introduction Terminology Informal Explanation The Recognizer Morad: Example Time and Space Bounds Empirical results Practical

More information

Computational Models - Lecture 3

Computational Models - Lecture 3 Slides modified by Benny Chor, based on original slides by Maurice Herlihy, Brown University. p. 1 Computational Models - Lecture 3 Equivalence of regular expressions and regular languages (lukewarm leftover

More information

Lecture 12 Simplification of Context-Free Grammars and Normal Forms

Lecture 12 Simplification of Context-Free Grammars and Normal Forms Lecture 12 Simplification of Context-Free Grammars and Normal Forms COT 4420 Theory of Computation Chapter 6 Normal Forms for CFGs 1. Chomsky Normal Form CNF Productions of form A BC A, B, C V A a a T

More information

Even More on Dynamic Programming

Even More on Dynamic Programming Algorithms & Models of Computation CS/ECE 374, Fall 2017 Even More on Dynamic Programming Lecture 15 Thursday, October 19, 2017 Sariel Har-Peled (UIUC) CS374 1 Fall 2017 1 / 26 Part I Longest Common Subsequence

More information

Theory of Computation (II) Yijia Chen Fudan University

Theory of Computation (II) Yijia Chen Fudan University Theory of Computation (II) Yijia Chen Fudan University Review A language L is a subset of strings over an alphabet Σ. Our goal is to identify those languages that can be recognized by one of the simplest

More information

Context-Free Grammars and Languages. Reading: Chapter 5

Context-Free Grammars and Languages. Reading: Chapter 5 Context-Free Grammars and Languages Reading: Chapter 5 1 Context-Free Languages The class of context-free languages generalizes the class of regular languages, i.e., every regular language is a context-free

More information

(NB. Pages are intended for those who need repeated study in formal languages) Length of a string. Formal languages. Substrings: Prefix, suffix.

(NB. Pages are intended for those who need repeated study in formal languages) Length of a string. Formal languages. Substrings: Prefix, suffix. (NB. Pages 22-40 are intended for those who need repeated study in formal languages) Length of a string Number of symbols in the string. Formal languages Basic concepts for symbols, strings and languages:

More information

Pumping Lemma for CFLs

Pumping Lemma for CFLs Pumping Lemma for CFLs v y s Here we go again! Intuition: If L is CF, then some CFG G produces strings in L If some string in L is very long, it will have a very tall parse tree If a parse tree is taller

More information

FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY

FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY 15-453 FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY REVIEW for MIDTERM 1 THURSDAY Feb 6 Midterm 1 will cover everything we have seen so far The PROBLEMS will be from Sipser, Chapters 1, 2, 3 It will be

More information