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import nltk
nltk.download('punkt')
nltk.download('maxent_ne_chunker')
nltk.download('words')

from nltk import pos_tag, RegexpParser
from nltk.tokenize import word_tokenize
from nltk.chunk import ne_chunk

# Get user input for the sentence
sentence = input("Enter a sentence: ")

# Tokenize the input sentence
words = word_tokenize(sentence)

# Perform POS tagging
pos_tags = pos_tag(words)

print("POS Tagging:")
print(pos_tags)

# Define a grammar for chunking noun phrases
grammar = r"""
    NP: {<DT|JJ|NN.*>+} # Noun Phrase
    PP: {<IN><NP>}      # Prepositional Phrase
"""

# Create a chunk parser with the defined grammar
chunk_parser = RegexpParser(grammar)

# Perform chunking
chunks = chunk_parser.parse(pos_tags)

print("\nChunking:")
chunks.pretty_print()