#postags = nlp.postag(words)
#print('postags', postags)
#ners = nlp.ner(text)
#print('ners', ners)
deps = nlp.dep(words, tags)
print("=" * 100)
for x in deps:
print(x)
#print('deps', deps)
return deps
#string1 = "锁定期大于3天、收益率大于5%的产品"
string2 = "锁定期和理财期限小于30天"
r = getParse2(string2)
parser = nn_parser.load_model(name='zh')
#r1 = getParse(string,parser)
#r2 = getParse(string1,parser)
r3 = getParse(string2, parser)
#支持的类型
#万份收益大于1.3或锁定期大于3天的产品
#万份收益大于1.3和锁定期大于3天的产品
#锁定期大于1.3 收益率大于3天的产品
#锁定期大于1.3，收益率大于3天的产品
#不支持的类型（分析错误）
#万份收益大于1.3、锁定期大于3天的产品
#万份收益大于1.3，锁定期大于3天的产品
#万份收益大于1.3 锁定期大于3天的产品
#锁定期大于1.3、收益率大于3天的产品
try:
pos_tagger.load_model("zh_finance")
except Exception as e:
print (e)
from deepnlp import ner_tagger
try:
deepnlp.download("ner", "zh_finance")
except Exception as e:
print (e)
deepnlp.register_model("ner", "zh_finance")
deepnlp.download("ner", "zh_finance")
try:
ner_tagger.load_model("zh_finance")
except Exception as e:
print (e)
from deepnlp import nn_parser
try:
deepnlp.download("parse", "zh_finance")
except Exception as e:
print (e)
deepnlp.register_model("parse", "zh_finance")
deepnlp.download("parse", "zh_finance")
try:
nn_parser.load_model("zh_finance")
except Exception as e:
print (e)