def NL2ResultA(sentence): # natural language to internal language
''' Принимает объект предложения и возвращает его уже, но с анализами '''
GrammarNazi = {}
# Анализируем предложение
#BS.FWrite("- "*10 + BS.getTime() + " -"*10 + "\n\n")
sentence, GrammarNazi['getMorphA'] = getMorphA(sentence)
#BS.safeResults(sentence, u"Морфологический анализ")
#BS.safeUnknown(list_res)
sentence, GrammarNazi['getPostMorphA'] = getPostMorphA(sentence)
#BS.safeResults(list_res, u"Промежуточный анализ")
sentence, GrammarNazi['getSyntA'] = getSyntA(sentence)
#BS.safeResults(list_res, u"Синтаксический анализ")
print GrammarNazi
return sentence, GrammarNazi
index, GN = _getPostMorphA(index, sentence)
GrammarNazi.extend(GN)
index += 1
# удаляем служебные части речи
sentence.delByCharacteristic('POSpeech', 'preposition')
pr(sentence)
return sentence, GrammarNazi
if __name__ == '__main__':
from MorphologicalAnalysis import getMorphA
import BeautySafe as BS
#sentence = 'montru miajn kursojn de rusia dolaro'
sentence = ''
BS.FWrite('----'+BS.getTime()+'\n')
list_res = getMorphA(sentence)
BS.safeResults(list_res, 'MorphA')
BS.safeUnknown(list_res)
tree = getPostMorphA(list_res)
BS.FWrite('\n '+sentence+'\n')
sentence = ''
for k, v in tree.items():
sentence += v['word'] + ' '
BS.FWrite(' '+sentence+'\n\n')
BS.safeResults(tree, 'PostMorphA')
print 'Ready! :)'
