class Execute(object):
def __init__(self):
self.depnn = DepNN()
self.depnn.extendLookUp('../data/depcheck2')
self.depnn.load_wordvector('../data/word-vec.bin')
self.deptree = DependencyTree()
def build_model(self):
self.depnn.build_AutoEncoder(200, '../data/compilation.bin')
def load_model(self):
self.depnn.load_AutoEncoder('../data/compilation.bin')
def train_sentence(self, lines):
w = self.deptree.read_sent(lines[0])
y = self.deptree.read_dependency(lines[1])
#self.depnn.saveRAE('../data/weights.bin')
#self.depnn.loadRAE('../data/weights.bin')
print ' '.join(x[0] for x in w)
self.depnn.build_DepRNN_Tree(y)
def dump_weights(self, db_file):
self.depnn.saveRAE(db_file)
def load_weights(self, db_file):
self.depnn.loadRAE(db_file)
def main():
print 'ok.'
lines = ('[(S (NP (DT Those) (NN space)) (VP (VBZ walks) (SBAR (S (VP (VBP are) (S (VP (TO to) (VP (VB be) (VP (VBN used) (PP (IN for) (S (VP (VBG preparing) (NP (NP (DT the) (NNP ISS)) (PP (IN for) (NP (NP (DT the) (VBN planned) (NN docking)) (NP (JJ next) (NN year)) (PP (IN of) (NP (DT the) (JJ new) (NNP European) (NNP ATV) (NN space) (NN cargo) (NN vessel))))))))))))))))) (. .))]','[det(space-2, Those-1), nsubj(walks-3, space-2), root(ROOT-0, walks-3), ccomp(walks-3, are-4), aux(used-7, to-5), auxpass(used-7, be-6), xcomp(are-4, used-7), prepc_for(used-7,preparing-9), det(ISS-11, the-10), dobj(preparing-9, ISS-11), det(docking-15, the-13), amod(docking-15, planned-14), prep_for(ISS-11, docking-15), amod(year-17, next-16), dep(docking-15, year-17), det(vessel-25, the-19), amod(vessel-25, new-20), nn(vessel-25, European-21), nn(vessel-25, ATV-22), nn(vessel-25, space-23), nn(vessel-25, cargo-24), prep_of(docking-15, vessel-25)]')
D = DependencyTree()
w = D.read_sent(lines[0])
print ' '.join([x[0]+'/'+x[1] for x in w])
y = D.read_dependency(lines[1])
for d in y:
print d
pass
