逆向最大匹配（自然语言处理）(机器学习)

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今天学习了一种自然语言匹配中的中文分词方法，逆向最大匹配。

# -*- coding:utf-8 -*-
"""
author: 15025
time: 2021/8/4 7:51
software: PyCharmDescription:逆向最大匹配: Reverse Maximum Match Method(RMM)
"""class RMM:def __init__(self, dict_path):# define a dictionary setself.dictionary = set()# define a variableself.maximum = 0# read dictionarywith open(dict_path, 'r', encoding="utf-8") as f:for line in f:line = line.strip()# jump the blank row in IMM_Dict fileif not line:continue# add reading element in our dictionaryself.dictionary.add(line)# get the maximum length of phrase in our dictionaryif len(line) > self.maximum:self.maximum = len(line)# print the element in dictionary# print(self.dictionary)def cut(self, text):# create a list to save the final resultresult = []index = len(text)# if text is not bland, start matching processwhile index > 0:word = None# start from the index of last word(self.maximum) and end at the index of first word(0)# use the maximum matching phrase to matchfor size in range(self.maximum, 0, -1):if index - size < 0:continue# inverse the oder of textpiece = text[(index - size):index]# print(piece)if piece in self.dictionary:word = pieceresult.append(word)index -= sizebreak# if no matching is find, just decrease the index value by 1if word is None:index -= 1# due to inverse matching, we need to inverse back herereturn result[::-1]if __name__ == '__main__':text_ = "西安市大雁塔"file_path = r"C:/Users/15025/Desktop/NLP/IMM_Dict.txt"NLP = RMM(file_path)print(NLP.cut(text_))
"""
['西安市', '大雁塔']
"""