import nltk
class FindChunks():
def __init__(self):
self.grammar = r"""
VP: {<ADJ_SIM><V_PRS>}
VP: {<ADJ_INO><V.*>}
VP: {<V_PRS><N_SING><V_SUB>}
NP: {<N_SING><ADJ.*><N_SING>}
NP: {<N.*><PRO>}
VP: {<N_SING><V_.*>}
VP: {<V.*>+}
NP: {<ADJ.*>?<N.*>+ <ADJ.*>?}
DNP: {<DET><NP>}
PP: {<ADJ_CMPR><P>}
PP: {<ADJ_SIM><P>}
PP: {<P><N_SING>}
PP: {<P>*}
DDNP: {<NP><DNP>}
NPP: {<PP><NP>+}
"""
self.cp = nltk.RegexpParser(self.grammar)
def convert_nestedtree2rawstring(self, tree, d=0):
s = ''
for item in tree:
if isinstance(item, tuple):
s += item[0] + ' '
elif d >= 1:
news = self.convert_nestedtree2rawstring(item, d + 1)
s += news + ' '
else:
tag = item._label
news = '[' + self.convert_nestedtree2rawstring(item, d + 1) + ' ' + tag + ']'
s += news + ' '
return s.strip()
def chunk_sentence(self, pos_taged_tuples):
return self.cp.parse(pos_taged_tuples)
