Tutorial 9 - Parse Tree

Generate parse tree for given sentence. 

Reference:

# Import required libraries
import nltk
nltk.download('punkt')
nltk.download('averaged_perceptron_tagger')
import os

from nltk import pos_tag, word_tokenize, RegexpParser
# Example text
sample_text = "The quick brown fox jumps over the lazy dog"
# Find all parts of speech in above sentence
tagged = pos_tag(word_tokenize(sample_text))
#Extract all parts of speech from any text
chunker = RegexpParser("""

NP: {<DT>?<JJ>*<NN>} #To extract Noun Phrases
P: {<IN>} #To extract Prepositions
V: {<V.*>} #To extract Verbs
PP: {<p> <NP>} #To extract Prepositional Phrases
VP: {<V> <NP|PP>*} #To extract Verb Phrases
""")

# Print all parts of speech in above sentence
output = chunker.parse(tagged)
print("After Extracting\n", output)
output.draw()