def test_parser(self):
tagged_words = camxes.tag('mi klama le zarci')
arcs = {
DependencyArc(child=0, parent=1, label='PLACE_1'),
DependencyArc(child=1, parent=-1, label='MAIN_BRIDI'),
DependencyArc(child=2, parent=3, label='DESCRIPTOR'),
DependencyArc(child=3, parent=1, label='PLACE_2')
}
next_transition = get_oracle_transition_func(arcs)
print decode(sent, next_transition)
def test(sentences_io, model_file):
parser = Parser()
parser.model.load(model_file)
for sentence in sentences_io:
tagged_words = list(camxes.tag(sentence))
words = [word for word, _ in tagged_words]
tags = [tag for _, tag in tagged_words]
pad_tokens(words)
pad_tokens(tags)
print tagged_words
print parser.parse(words, tags)
def parse_sent_str(sent_lines):
words = DefaultList('')
tags = DefaultList('')
heads = [None]
labels = [None]
for line in sent_lines:
fields = line.split()
word, head = fields[1], fields[2]
label = '' if len(fields) < 4 else fields[3]
words.append(intern(word))
heads.append(int(head) + 1 if head != '-1' else len(sent_lines) + 1)
labels.append(label)
sent = ' '.join(words)
tagged_words = list(camxes.tag(sent))
assert len(tagged_words) == len(words)
tags = [tag for _, tag in tagged_words]
pad_tokens(words)
pad_tokens(tags)
return words, tags, heads, labels
def test_camxes(self):
self.assertEquals([('KOhA', 'mi'), ('gismu', 'klama'), ('LE', 'le'), ('gismu', 'zarci')],
list(camxes.tag('mi klama le zarci')))
