A text has to be broken into sentences for further processing.
We can always write a bunch of rules, or we can use nltk.tokenize.sent_tokenize.
# nlp3.py
from __future__ import print_function, division
from nltk.tokenize import sent_tokenize
lines = """This is the first sentence. Dr. Brown gave a speech.
Finally, he praised Python! At 8 o'clock, he went home."""
A = sent_tokenize(lines)
print('type(A)=',type(A))
for i,j in enumerate(A):
print(i,': ',j)
# type(A)= <type 'list'>
# 0 : This is the first sentence.
# 1 : Dr. Brown gave a speech.
# 2 : Finally, he praised Python!
# 3 : At 8 o'clock, he went home.
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