def determiner(person=None, gender=None, number=None, function='S',
kind=None, S=None):
if percent(35):
det = wf.getNominal('article', gender, number)
next = (det.value.index, 'article')
elif percent(50):
det = wf.getAdjectivePronoun(gender, number, 'determiner')
next = (det.value.index, 'adjective_pronoun')
else:
det = wf.getPossessivePronoun(
gender, number, aleatory('person'), aleatory('number'))
next = (det.value.index, 'possessive_pronoun')
return Tree('determiner', [det], {'next': next})
def nounPhrase(person=None, gender=None, number=None, function='S',
kind=None, S=None):
if person is None:
if S and verify_semantics(S, 'PESSOA'):
person = aleatory('person')
else:
person = '3'
if kind is None:
if person != '3' or percent(15):
kind = 'personal_pronoun'
else:
kind = 'noun'
L = []
next = None
if kind == 'noun':
det = determiner(person, gender, number, function, kind, S)
L.append(det)
next = det.info['next']
n = nounBar(person, gender, number, function, kind, S)
if not next:
next = n.info['next']
L.append(n)
return Tree('noun phrase', L, {'head': n.info['head'], 'next': next})
def prepositionalPhrase(preposition=None, person=None, gender=None,
number=None, function='S', kind=None, S=None):
if person is None:
if S and verify_semantics(S, 'PESSOA'):
person = aleatory('person')
else:
person = '3'
if kind is None:
if person != '3' or percent(15):
kind = 'personal_pronoun'
else:
kind = 'noun'
np = nounPhrase(person, gender, number, function, kind, S)
next = np.info['next']
L = [np]
p = wf.getPreposition(preposition, gender, number, next)
L = [Tree("preposition", [p])] + L
return Tree('prepositional phrase', L, {'head': np.info['head']})
