POS Challenge - OPTIONAL

In [4]:

    

# Perform standard imports
import spacy
nlp = spacy.load('en_core_web_sm')

# Import the game script
import game


    

In [5]:

    

# Enter your text here:
text = u"The quick brown fox jumped over the lazy dog's back."


    

In [6]:

    

# Make your Doc object and pass it into the scorer:
doc = nlp(text)
print(game.scorer(doc))


    

    




Unique tags: 7
Tokens used: 12
SCORE: 9
CONGRATULATIONS!

In [7]:

    

# For practice, visualize your fine-grained POS tags (shown in the third column):
print(f"{'TOKEN':{10}} {'COARSE':{8}} {'FINE':{6}} {'DESCRIPTION'}")
print(f"{'-----':{10}} {'------':{8}} {'----':{6}} {'-----------'}")

for token in doc:
    print(f'{token.text:{10}} {token.pos_:{8}} {token.tag_:{6}} {spacy.explain(token.tag_)}')


    

    




TOKEN      COARSE   FINE   DESCRIPTION
-----      ------   ----   -----------
The        DET      DT     determiner
quick      ADJ      JJ     adjective
brown      ADJ      JJ     adjective
fox        NOUN     NN     noun, singular or mass
jumped     VERB     VBD    verb, past tense
over       ADP      IN     conjunction, subordinating or preposition
the        DET      DT     determiner
lazy       ADJ      JJ     adjective
dog        NOUN     NN     noun, singular or mass
's         PART     POS    possessive ending
back       NOUN     NN     noun, singular or mass
.          PUNCT    .      punctuation mark, sentence closer