from nltk.chunk.util import tagstr2tree
from nltk import word_tokenize, pos_tag
text = "John Rose Center is very beautiful place and i want to go there with Barbara Palvin. Also there are stores like Adidas ,Nike ,Reebok Center."
tagged_text = pos_tag(text.split())
grammar = "NP:{<NNP>+}"
cp = nltk.RegexpParser(grammar)
result = cp.parse(tagged_text)
print(result)
Output:
(S
(NP John/NNP Rose/NNP Center/NNP)
is/VBZ
very/RB
beautiful/JJ
place/NN
and/CC
i/NN
want/VBP
to/TO
go/VB
there/RB
with/IN
(NP Barbara/NNP Palvin./NNP)
Also/RB
there/EX
are/VBP
stores/NNS
like/IN
(NP Adidas/NNP ,Nike/NNP ,Reebok/NNP Center./NNP))
The grammar i use for chunking only works on nnp tags but if words are sequential with commas they will still on the same line.I want my chunk like this:
(S
(NP John/NNP Rose/NNP Center/NNP)
is/VBZ
very/RB
beautiful/JJ
place/NN
and/CC
i/NN
want/VBP
to/TO
go/VB
there/RB
with/IN
(NP Barbara/NNP Palvin./NNP)
Also/RB
there/EX
are/VBP
stores/NNS
like/IN
(NP Adidas,/NNP)
(NP Nike,/NNP)
(NP Reebok/NNP Center./NNP))
What should i write in the "grammar=" or can i edit the output like i wrote above?As you can see i only parse proper nouns for my named entity project pls help me out.
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