NLTK Tokenize: Tokenize words, sentence wise

Last update on December 21 2024 07:35:50 (UTC/GMT +8 hours)

Write a Python NLTK program to tokenize words, sentence wise.

Sample Solution:

Python Code :

from nltk.tokenize import sent_tokenize, word_tokenize
text = "Joe waited for the train. The train was late. Mary and Samantha took the bus. I looked for Mary and Samantha at the bus station."
print("\nOriginal string:")
print(text)
print("\nTokenize words sentence wise:")
result = [word_tokenize(t) for t in sent_tokenize(text)]
print("\nRead the list:")
for s in result:
    print(s)

Sample Output:

Original string:
Joe waited for the train. The train was late. Mary and Samantha took the bus. I looked for Mary and Samantha at the bus station.

Tokenize words sentence wise:

Read the list:
['Joe', 'waited', 'for', 'the', 'train', '.']
['The', 'train', 'was', 'late', '.']
['Mary', 'and', 'Samantha', 'took', 'the', 'bus', '.']
['I', 'looked', 'for', 'Mary', 'and', 'Samantha', 'at', 'the', 'bus', 'station', '.']

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