from nltk.wsd import lesk
from nltk.corpus import wordnet
sentence='I went to the bank to deposit money'
word='bank'
sense=lesk(sentence.split(),word)
print("best sense:",sense)
print("definition:",sense.definition())

from nltk.corpus import wordnet as wn
import nltk
nltk.download('wordnet')
word = "bank"
for sense in wn.synsets(word):
    print("-", sense.definition())
    
    

import nltk
nltk.download('punkt')                                                                                                     text="i work for U.S Government.It's a good job."
sentences=nltk.sent_tokenize(text)
for sentence in sentences:
    print(sentence)
    

from nltk import sent_tokenize
from googletrans import Translator
translator = Translator()
data = "All work and no play makes Jack a dull boy."
token = sent_tokenize(data)
for tt in token:
    translatedText = translator.translate(tt, dest="hi")
    print(translatedText.text)