def read_conllx_triples(
corpus_file
): #='/tmp/autocorpus3/autocorpus3/static/Chinese_train_pos.xml.utf8.Chinese_medicine.segmented.conllx'):
triples = []
sents = concat([
DependencyCorpusView(corpus_file,
tagged=False,
group_by_sent=True,
dependencies=True)
])
for sent in sents:
dg = DependencyGraph(sent, top_relation_label='root')
triples += dg.triples()
return triples
def parse(sent):
con_parse, = con_parser.raw_parse(sent)
dep_parse, = dep_parser.raw_parse(sent)
print()
print("Constituency Tree:")
con_parse.pretty_print()
dg = DependencyGraph(dep_parse.to_conll(4))
print()
print("Dependency Tree:")
dg.tree().pprint()
print()
print("Dependencies:")
for governor, dependency, dependent in dg.triples():
print(governor, dependency, dependent)
