REGULAR EXPRESSIONS 4 DAY 9 - 9/15/14 LING 3820 & 6820 Natural Language Processing Harry Howard Tulane University.

Regular expressions 4Day 9 - 9/15/14LING 3820 & 6820

Natural Language Processing

Harry Howard

Tulane University

Course organization

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http://www.tulane.edu/~howard/LING3820/

The syllabus is under construction.

http://www.tulane.edu/~howard/CompCultEN/

The quiz was the review.

Review

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4.3.4. Summary table

meta-character

matches name notes

a|b a or bdisjunction

(ab) a and b groupingonly outputs what is in (); (?:ab) for rest of pattern

[ab] a or b range[a-z] lowercase, [A-Z] uppercase, [0-9] digits

[^a] all but a negation  

a{m, n}from m to n of a

repetition

a{n} a number n of a

^aa at start of S

a$a at end of S

a+one or more of a

  a+? lazy +

a*zero or more of a

Kleene star

a*? lazy *

a?with or without a

optionality

a?? lazy ?

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There is a bit more to say.

§4. Regular expressions 4

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Open Spyder

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Sample string

import re

>>> S = '''This above all: to thine own self be true, And it must follow, as the night the day, Thou canst not then be false to any man.'''

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4.4. Character classes

class abbreviates name notes

\w[a-zA-Z0-9_]

alphanumeric

it’s really alphanumeric and underscore, but we are lazy

\W[^a-zA-Z0-9_]

  not alphanumeric

\d [0-9] digit  

\D [^0-9]   not a digit

\s [ tvnrf] whitespace  

\S [^ tvnrf]   not whitespace

\t  horizontal tab

\v  vertical tab

\n   newline  

\r  carriage return

\f   form-feed  

\b  word boundary

\B     not a word boundary

\A ^    

\Z $    

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4.4.2. Raw string notation with r’‘ Python interprets regular expressions just like any other expression. This can lead to unexpected results with class meta-characters, because the backslash that they incorporate is sometimes also used by Python for its own constructs.

For instance, we just met a class meta-character \b, which marks the edge of a word. It will be extremely useful for us, but it happens to overlap with Python’s own backspace operator, \b.

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Raw text

The way to resolve this ambiguity is to prefix an r to a regular expression. The r marks the regular expression as raw text, so Python does not process it for special characters. The previous example is augmented with the raw text notation below:

1. >>> re.findall(r'\b\w\w\b', S)

2. ['to', 'be', 'it', 'as', 'be', 'to']

3. >>> re.findall(r'\b\w{2}\b', S)

4. ['to', 'be', 'it', 'as', 'be', 'to']

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More raw text

As a further illustration, what do you think are the non-alphanumeric characters in the Shakespeare text?:

>>> re.findall(r'\W', S) [' ', ' ', ':', ' ', ' ', ' ', ' ', ' ', ' ', ',', '\n', ' ', ' ', ' ', ',', ' ', ' ', ' ', ' ', ' ', ',', '\n', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', '.']

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Practice

4.3.5. Further practice of variable-length matching

4.6. Further practice Practice with answers on a different page

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There is a bit more to say.

§5. Lists1

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Introduction

In working with re.findall(), you have seen many instances of a collection of strings held within square brackets, such as the one below:

>>> S = '''This above all: to thine own self be true,

... And it must follow, as the night the day,

... Thou canst not then be false to any man.'''

>>> re.findall(r'\b[a-zA-Z]{4}\b', S)

['This', 'self', 'true', 'must', 'Thou', 'then']

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Definition of list

A list in Python is a sequence of objects delimited by square brackets, []. The objects are separated by commas. Consider this sentence from Shakespeare’s A Midsummer Night’s Dream represented as a list:

>>> L = ['Love', 'looks', 'not', 'with', 'the', 'eyes', ',', 'but', 'with', 'the', 'mind', '.'] >>> type(L) >>> type(L[0])

L is a list of strings. You may think that a string is also a list of characters, and you would be correct for ordinary English, but in pythonic English, the word ‘list’ refers exclusively to a sequence of objects delimited by square brackets.

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An example with numerical objects1. >>> i = 2 2. >>> type(i) 3. >>> I = [0,1,i,3] 4. >>> type(I) 5. >>> type(I[0]) 6. >>> n = 2.3 7. >>> type(n) 8. >>> N = [2.0,2.1,2.2,n] 9. >>> type(N) 10. >>> type(N[0])

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Most of the string methods work just as well on lists1. >>> len(L) 2. >>> sorted(L) 3. >>> set(L) 4. >>> sorted(set(L)) 5. >>> len(sorted(set(L))) 6. >>> L+'!' 7. >>> len(L+'!') 8. >>> L*2 9. >>> len(L*2) 10. >>> L.count('the')

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String methods work on lists, cont.1. >>> L.count('Love') 2. >>> L.count('love') 3. >>> L.index('with') 4. >>> L.rindex('with') 5. >>> L[2:] 6. >>> L[:2] 7. >>> L[-2:] 8. >>> L[:-2] 9. >>> L[2:-2] 10. >>> L[-2:2] 11. >>> L[:] 12. >>> L[:-1]+['!']

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Q1

MIN 5.0 AVG 9.5 MAX 10.0

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More on lists

Next time

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