1. CONTROL 3 DAY 15 - 9/29/14 LING 3820 & 6820 Natural Language Processing Harry Howard Tulane University

2. Course organization 29-Sept-2014NLP, Prof. Howard, Tulane University 2  http://www.tulane.edu/~howard/LING3820/ http://www.tulane.edu/~howard/LING3820/  The syllabus is under construction.  http://www.tulane.edu/~howard/CompCultEN/ http://www.tulane.edu/~howard/CompCultEN/  Chapter numbering  3.7. How to deal with non-English characters 3.7. How to deal with non-English characters  4.5. How to create a pattern with Unicode characters 4.5. How to create a pattern with Unicode characters  6. Control 6. Control

3. The quiz was the review. Review of control 29-Sept-2014 3 NLP, Prof. Howard, Tulane University

4. Open Spyder 29-Sept-2014 4 NLP, Prof. Howard, Tulane University

5. 6.2.1. Chained conditionals 29-Sept-2014 5 NLP, Prof. Howard, Tulane University

6. Chained conditions  Imagine that you wanted to check whether a character is lowercase.  You would test for two conditions: whether it is lowercase or whether it is uppercase.  But there are a lot of leftovers which are neither one – the punctuation.  These three conditions are mutually exclusive, so they cannot be stated as three ifs. 29-Sept-2014NLP, Prof. Howard, Tulane University 6

7. A chained conditional expression 1. >>> char = 'Y' 2. >>> if char.islower(): 3.... print 'yes' 4.... elif char.isupper(): 5.... print 'no' 6.... else: 7.... print 'whoops!' 8.... 9. no 29-Sept-2014NLP, Prof. Howard, Tulane University 7

8. In computer science, the programming construct for examining every item of a collection is called a loop. This could be every character in a string or every word in a list. 6.3. Iterating over the items of a collection with a loop 29-Sept-2014 8 NLP, Prof. Howard, Tulane University

9. 6.3.1. How to examine every item with for  As a simple example, consider printing every letter of a word: 1. >>> greeting = 'Yo!' 2. >>> for char in greeting: 3.... print char 4.... 5. Y 6. o 7. ! 29-Sept-2014NLP, Prof. Howard, Tulane University 9

10. Iteration over a list 1. >>> fruit = ['apple', 'cherry', 'mango', 'pear', 'watermelon'] 2. >>> for word in fruit: 3.... print word 4.... 5. apple 6. cherry 7. mango 8. pear 9. watermelon 29-Sept-2014NLP, Prof. Howard, Tulane University 10

11. A trick for printing  To save space in your Python console, adding a comma after the variable to be printed puts the output on the same line: 1. >>> for char in greeting: 2.... print char, 3.... 4. Y o ! 5. >>> for word in fruit: 6.... print word, 7.... 8. apple cherry mango pear watermelon 29-Sept-2014NLP, Prof. Howard, Tulane University 11

12. 6.3.2. How to make a list during a loop with append() 1. >>> charlist = [] 2. >>> for char in greeting: 3.... charlist.append(char) 4.... 5. >>> charlist 6. ['Y', 'o', '!'] 29-Sept-2014NLP, Prof. Howard, Tulane University 12

13. Doing the same with a list, redundantly 1. >>> wordlist = [] 2. >>> for word in fruit: 3.... wordlist.append(word) 4.... 5. >>> wordlist 6. ['apple', 'cherry', 'mango', 'pear', 'watermelon'] 29-Sept-2014NLP, Prof. Howard, Tulane University 13

14. 6.3.3. How to pack a loop into a list with a list comprehension  Creating a list from a loop is such a frequent task that Python has a breathtakingly elegant idiom for accomplishing it, the list comprehension.  It consists of putting the whole for statement within square brackets, with the appending signaled by the brackets themselves. 29-Sept-2014NLP, Prof. Howard, Tulane University 14

15. List comprehension with string example 1. >>> charlist = [] 2. >>> for char in greeting: 3.... charlist.append(char) 4.... 5. >>> charlist 6. ['Y', 'o', '!'] 7. >>> charlist = [char for char in greeting] 8. charlist 9. ['Y', 'o', '!'] 29-Sept-2014NLP, Prof. Howard, Tulane University 15

16. List comprehension with list example 1. >>> wordlist = [] 2. >>> for word in fruit: 3.... wordlist.append(word) 4.... 5. >>> wordlist 6. ['apple', 'cherry', 'mango', 'pear', 'watermelon'] 7. >>> wordlist = [word for word in fruit] 8. >>> wordlist 9. ['apple', 'cherry', 'mango', 'pear', 'watermelon'] 29-Sept-2014NLP, Prof. Howard, Tulane University 16

17. 6.3.4. The list comprehension in set theory  The format of the list comprehension is inspired on a similar expression in set theory:  {e | e ∈ F & P(e)}  This is read as “the set of e’s such that e is an element of F and P of e (e has the property P)”. 29-Sept-2014NLP, Prof. Howard, Tulane University 17

18. 6.3.5. How to check a condition in a loop  The ultimate step in making a decision about a collection of items is to make membership in the output contingent on a condition: 1. >>> lowchar = [] 2. >>> for char in greeting: 3.... if char.islower(): 4.... lowchar.append(char) 5.... 6. >>> lowchar 7. ['o'] 8. >>> lowchar = [char for char in greeting if char.islower()] 9. >>> lowchar 10. ['o'] 29-Sept-2014NLP, Prof. Howard, Tulane University 18

19. List example 1. >>> melonlist = [] 2. >>> for word in fruit: 3.... if word.endswith('melon'): 4.... melonlist.append(word) 5.... 6. >>> melonlist 7. ['watermelon'] 8. >>> melonlist = [word for word in fruit if word.endswith('melon')] 9. ['watermelon'] 29-Sept-2014NLP, Prof. Howard, Tulane University 19

20. Chained conditions in a loop 1. >>> for char in greeting: 2.... if char.islower(): 3.... print 'yes' 4.... elif char.isupper(): 5.... print 'no' 6.... else: 7.... print 'whoops!'' 8.... 9. no 10. yes 11. whoops! 29-Sept-2014NLP, Prof. Howard, Tulane University 20

21. Finish control Next time 29-Sept-2014NLP, Prof. Howard, Tulane University 21