Tokenization and sentence boundary assuming each sentence is in new line

Here I am assuming that our input file has text with each sentence in a new line. We use this file for tokenization.

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#open a file and clean its contents

#!/usr/bin/python
import re

with open('raw_corpus.txt') as fp:
    lines = fp.read().split("n")   #here lines contains entire file contents

#incremental variable
i=1;

#to access file contents line by line
for line in lines:

#if empty break from current iteration
    if line == "":
        break

#convert to lowercase
    line = line.lower()

#leaning
    line = re.sub(r'.', " .", line) #substitute . with space .
    line = re.sub(r',', " ,", line) #substitute , with space ,
    line = re.sub(r'?', " ?", line) #substitute ? with space ?
    line = re.sub(r'!', " !", line)  #substitute ! with space !

#replace multiple spaces into single spaces
    line = re.sub(r's+', " ", line)

#get words in current line
    words = line.split(' ')

    print ("<Sentence Id='",i,"'>",sep='')  #use sep='' to suppress white space while printing

    j=1   #token counter
    for word in words:
        print (j,"t",word)
        j=j+1
        
    
    print ("</Sentence>",sep='')
    
    i = i + 1                 #increment i 

This script will open ‘raw_corpus.txt’ and remove junks.

It will also print sentence boundaries and tokenize a sentence into words

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