How to tokenize natural English text in an input file in python?

Question

I want to tokenize input file in python please suggest me i am new user of python .

I read the some thng about the regular expression but still some con

Answer 1

with open ("file.txt", "r") as f1:
         data=str(f1.readlines())
         sent_tokenize(data)

Answer 2

Using NLTK

If your file is small:

• Open the file with the context manager with open(...) as x,
• then do a .read() and tokenize it with word_tokenize()

[code]:

from nltk.tokenize import word_tokenize
with open ('myfile.txt') as fin:
    tokens = word_tokenize(fin.read())

If your file is larger:

• Open the file with the context manager with open(...) as x,
• read the file line by line with a for-loop
• tokenize the line with word_tokenize()
• output to your desired format (with the write flag set)

[code]:

from __future__ import print_function
from nltk.tokenize import word_tokenize
with open ('myfile.txt') as fin, open('tokens.txt','w') as fout:
    for line in fin:
        tokens = word_tokenize(line)
        print(' '.join(tokens), end='\n', file=fout)

---

Using SpaCy

from __future__ import print_function
from spacy.tokenizer import Tokenizer
from spacy.lang.en import English

nlp = English()
tokenizer = Tokenizer(nlp.vocab)

with open ('myfile.txt') as fin, open('tokens.txt') as fout:
    for line in fin:
        tokens = tokenizer.tokenize(line)
        print(' '.join(tokens), end='\n', file=fout)

Answer 3

Try something like this:

import nltk
file_content = open("myfile.txt").read()
tokens = nltk.word_tokenize(file_content)
print tokens

The NLTK tutorial is also full of easy to follow examples: http://nltk.googlecode.com/svn/trunk/doc/book/ch03.html