PP -> P NP
NP -> Det N | Det N PP | 'I'
VP -> V NP | VP PP
Det -> 'an' | 'my'
N -> 'elephant' | 'pajamas'
V -> 'shot'
P -> 'in'
""")
# In[19]:
# ref: http://www.nltk.org/book_1ed/ch08.html
sent = ['I', 'shot', 'an', 'elephant', 'in', 'my', 'pajamas']
parser = nltk.ChartParser(groucho_grammar)
trees = parser.parse(sent)
for tree in trees:
print(tree)
# In[5]:
## part C begins here
# In[20]:
#conda install -c conda-forge spacy=2.2.1
# conda install -c conda-forge spacy-model-en_core_web_sm
#https://www.analyticsvidhya.com/blog/2019/10/how-to-build-knowledge-graph-text-using-spacy/
import spacy
print(spacy.__version__)
