def read_text(self, text, aux_text=None, reset_context=True):
if self.parser is None:
self.debug_msg('creating parser...')
self.parser = Parser()
self.disamb = Disambiguation(self.hg, self.parser)
nlp_parses = self.parser.parse_text(text)
if reset_context:
self.aux_text = text
if aux_text:
self.aux_text = '%s\n%s' % (text, aux_text)
parses = [(p[0], self.read_sentence(Sentence(p[1])))
for p in nlp_parses]
for p in parses:
self.debug_msg('== extra ==')
for edg in p[1].edges:
self.debug_msg(ed.edge2str(edg))
return parses
def create_parser(lang='en'):
return Parser(lang)
return elem_id, transf
def process_sentence(self, sentence):
self.tree.root_id = self.process_token(sentence.root())[0]
return ParserOutput(sentence, self.tree)
def transform(sentence):
alpha = AlphaForest()
return alpha.process_sentence(sentence)
if __name__ == '__main__':
# learn('cases.csv', 'alpha_forest.model')
test_text = """
Satellites from NASA and other agencies have been tracking sea ice changes since 1979.
"""
# test_text = 'Telmo is going to the gym.'
print('Starting parser...')
parser = Parser()
print('Parsing...')
result = parser.parse_text(test_text)
for r in result:
s = Sentence(r[1])
t = transform(s)
print(t.tree.to_hyperedge_str(with_namespaces=False))
