PPT-Chapter 3 REGULAR LANGUAGES AND REGULAR GRAMMARS

Chapter 3 REGULAR LANGUAGES AND REGULAR GRAMMARS Learning Objectives At the conclusion of the chapter the student will be able to Identify the language associated with a regular expression Find a regular expression to describe a given language. And 57375en 57375ere Were None meets the standard for Range of Reading and Level of Text Complexity for grade 8 Its structure pacing and universal appeal make it an appropriate reading choice for reluctant readers 57375e book also o57373ers students Prabhaker. . Mateti. ACK: Assembled from many sources. About Attribute Grammars. Attribute grammars (AGs) add semantic info on parse tree nodes . Used for semantic checking and other compile-time analyses, e.g., type checking in a compiler. Ehsan. . Khoddammohammadi. Recent Advances in Parsing Technology. WS 2012/13. Saarland University. 1. Outline. Definition and motivation behind . u. nsupervised . g. rammar learning. Non-parametric Bayesian statistics. by. Ravi. chandhran . Madhavan. , EPFL. Mikael Mayër, EPFL. Sumit Gulwani, MSR. Viktor Kuncak, EPFL. Overview of the Talk. Proving equivalence of two CFGs. Generation. of words belonging to a CFG. Finding counter-examples for equivalence . A . shorted version from. :. Anastasia . Berdnikova. &. Denis . Miretskiy. ‘Colourless green ideas sleep furiously’.. Chomsky constructed finite formal machines – ‘. grammars. ’.. ‘Does the language contain this sentence?’ (intractable) . 1. Automata and Logic . C. haracterization of Floyd . Languages. Violetta Lonati . DSI - . Universit. à. . degli Studi di Milano. Dino Mandrioli . . DEI - Politecnico di . Milano. Matteo Pradella . Ravichandhran. . Madhavan. , . EPFL. Joint work with. Mikael . Mayër. , EPFL. Sumit. . Gulwani. , MSR. Viktor . Kuncak. , EPFL. Overview. u. nit -> . pkg. ? . i. mp* type*. field -> method | . Cradle. -to-Cradle . Design. . Douglas H. Fisher . Vanderbilt University. douglas.h.fisher@. vanderbilt.edu. Mary Lou Maher . University of Maryland, College Park. marylou.maher@. gmail.com. Presentation to the . Reading: Chapter 4. 2. Topics. How to prove whether a given language is regular or not?. Closure properties of regular languages. Minimization of DFAs. 3. Some languages are . not . regular. When is a language is regular? . Regular Languages. Regular languages are the languages which are accepted by a Finite Automaton.. Not all languages are regular. Non-Regular Languages. L. 0. = {. a. k. b. k. : k≤0} = . {ε}. is a regular language. Modern Programming Languages, 2nd ed.. 1. Syntax And Semantics. Programming language syntax: how programs look, their form and structure. Syntax is defined using a kind of formal grammar. Programming language semantics: what programs do, their behavior and meaning. some languages are not regular!. Sipser. pages 77 - 82. Are all Languages Regular. We have seen many ways. to specify Regular languages. Are all languages Regular languages?. The answer is No, . H. A mother language is spoken by groups of people who become separated by time and distance. Those groups then form new languages based on a common origin.. LANGUAGE FAMILY. : a collection of languages related through a common ancestral language that existed before recorded history. (Indo-European is the world’s most extensive language family.). 2. Regular Expressions vs. Finite Automata. Offers a declarative way to express the pattern of any string we want to accept . E.g., . 01*+ 10*. Automata => more machine-like . < input: string , output: [accept/reject] >.