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pattern match for nlp

Project description






from pmnlp.word import build_sentence_word_dict
from pmnlp.sentence import SentenceTplTrie

# 初始化,用于记录用户配置的词槽,以及语句的模版匹配。
user_word_dict = {'num': ['一杯', '两杯'], 'coffee': [
    '拿铁', '拿铁咖啡'], 'common': [], 'phone': ['re\d+']}
sentent_intent_tpl = {
    'coffee': '[common:0-4][num][common:0-10][coffee]'

# 建立模型
sentence_word_dict = build_sentence_word_dict(word_dict=user_word_dict)
test_tree = SentenceTplTrie(word_dict=sentence_word_dict), common_key='common')

# 理解用户输入
_, intent, result = test_tree.sep('我要一杯热啊啊啊啊啊啊拿铁咖啡',common_key='common')
if isinstance(intent, str):
    print(intent, result)
    print(intent, result)

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