PPT-Regular Expressions and Command-line

Text Searching Michael T Goodrich University of California Irvine Regular Expressions Regular expressions are an algebraic way of describing text patterns Regular expressions support powerful searches. They’re way cooler than. If statements!. Regular Expressions – An Overview. Regular expressions. are a way to describe a set of strings based on common characteristics shared by each string in the set. . CS 4705. Some . slides adapted . from Hirschberg, Dorr/. Monz. , . Jurafsky. Some simple problems: . How much is Google worth?. How much is the Empire State Building worth?. How much is Columbia University worth?. analysis. David Kauchak. CS159 – Spring 2011. Administrivia. Assignment 0 due today. article discussion. Assignment 1 out soon. due Wednesday, 2/2 in class. no code submitted, but will require coding. Lecture 18. Recursive Definitions: Regular Expressions,. Context-Free Grammars and Languages. Spring 2013. 1. Announcements. Reading assignments. 7. th. Edition, pp. 878-880 and pp. 851-855. 6. th. Reading: Chapter 3. 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] >. Alexander Fraser & Liane Guillou. {fraser,liane}@cis.uni-muenchen.de. CIS. , . Ludwig-Maximilians-Universität München. Computational . Morphology and Electronic Dictionaries. SoSe 2016. 2016-05-02. Python for Everybody. www.py4e.com. Regular Expressions. http://en.wikipedia.org/wiki/Regular_expression. In computing, a regular expression, also referred to as . “. regex. ”. or . “. regexp. Terry Reese. Gray Family Chair for Innovative Library Resources. Topics . MarcEdit Regular Expression Support Information. Understanding .NET Regular Expressions. Major components of the language. Understanding grouping mechanisms and references. 1 CSC 594 Topics in AI – Natural Language Processing Spring 2018 3. Regular Expressions (Some slides adapted from Jurafsky & Martin) 2 Document Search ‘Information Retrieval (IR)’ implies a query (e.g. search terms) Regular Expressions Pattern Matching in Strings February 13, 2019 Regular Expressions 1 More about strings In a previous lecture, we discussed the String class and its methods Powerful class with many 1 CSC 594 Topics in AI – Natural Language Processing Spring 2018 3. Regular Expressions (Some slides adapted from Jurafsky & Martin) 2 Document Search ‘Information Retrieval (IR)’ implies a query (e.g. search terms) Introduction to Programming. Spring 2019. [Ref: . https. ://. docs.python.org. /3/library/. re.html. ]. Overview. What are regular expressions?. Why and when do we use regular expressions?. How do we define regular expressions?. aho@cs.columbia.edu. JerseySTEM. Math Club. March 5, 2017. Introduction. Regular expressions are a powerful notation for specifying patterns in text strings.. Regular expressions are used routinely in such applications as text editors, language translators, and Internet packet processors.. 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] >.