def main(self):
semantics = Semantics()
logParser = irc_logParser()
log_data = logParser.loadLogs("logs/2009-08-1*", limit=200)
for sentences in log_data:
rule_eng = rule_engine()
if not sentences:
continue
if self.options.relex:
r = relex.relex()
sentence = r.process(sentences)
for x in sentence:
y = x.split("\n")
for z in y:
if z:
print z
if self.options.default:
from tagger import braubt_tagger
analogy = analysis.Analogies()
s = linkGrammar.sentence(sentences)
if s:
normal_words = sentences.split(" ")
container = sentence(s, normal_words)
container.atom = semantics.semanticsToAtoms(container)
test_rules(container)
for a in container.diagram:
debug(a)
analogy.similar(container)
def main(self):
semantics = Semantics()
logParser = irc_logParser()
log_data = logParser.loadLogs('logs/2009-08-1*', limit=200)
for sentences in log_data:
rule_eng = rule_engine()
if not sentences:
continue
if self.options.relex:
r = relex.relex()
sentence = r.process(sentences)
for x in sentence:
y = x.split('\n')
for z in y:
if z:
print z
if self.options.default:
from tagger import braubt_tagger
analogy = analysis.Analogies()
s = linkGrammar.sentence(sentences)
if s:
normal_words = sentences.split(' ')
container = sentence(s, normal_words)
container.atom = semantics.semanticsToAtoms(container)
test_rules(container)
for a in container.diagram:
debug(a)
analogy.similar(container)
