python正向最大匹配分词和逆向最大匹配分词的实例

yipeiwu_com6年前Python基础

正向最大匹配

# -*- coding:utf-8 -*-
 
CODEC='utf-8'
 
def u(s, encoding):
  'converted other encoding to unicode encoding'
  if isinstance(s, unicode):
    return s
  else:
    return unicode(s, encoding)
 
def fwd_mm_seg(wordDict, maxLen, str):
  'forward max match segment'
  wordList = []
  segStr = str
  segStrLen = len(segStr)
  for word in wordDict:
    print 'word: ', word
  print "\n"
  while segStrLen > 0:
    if segStrLen > maxLen:
      wordLen = maxLen
    else:
      wordLen = segStrLen
    subStr = segStr[0:wordLen]
    print "subStr: ", subStr
    while wordLen > 1:
      if subStr in wordDict:
        print "subStr1: %r" % subStr
        break
      else:
        print "subStr2: %r" % subStr
        wordLen = wordLen - 1
        subStr = subStr[0:wordLen]
#      print "subStr3: ", subStr
    wordList.append(subStr)
    segStr = segStr[wordLen:]
    segStrLen = segStrLen - wordLen
  for wordstr in wordList:
    print "wordstr: ", wordstr
  return wordList
    
      
def main():
  fp_dict = open('words.dic')
  wordDict = {}
  for eachWord in fp_dict:
    wordDict[u(eachWord.strip(), 'utf-8')] = 1
  segStr = u'你好世界hello world'
  print segStr
  wordList = fwd_mm_seg(wordDict, 10, segStr)
  print "==".join(wordList)
  
 
if __name__ == '__main__':
  main()
  

逆向最大匹配

# -*- coding:utf-8 -*-
 
 
def u(s, encoding):
  'converted other encoding to unicode encoding'
  if isinstance(s, unicode):
    return s
  else:
    return unicode(s, encoding)
 
CODEC='utf-8'
 
def bwd_mm_seg(wordDict, maxLen, str):
  'forward max match segment'
  wordList = []
  segStr = str
  segStrLen = len(segStr)
  for word in wordDict:
    print 'word: ', word
  print "\n"
  while segStrLen > 0:
    if segStrLen > maxLen:
      wordLen = maxLen
    else:
      wordLen = segStrLen
    subStr = segStr[-wordLen:None]
    print "subStr: ", subStr
    while wordLen > 1:
      if subStr in wordDict:
        print "subStr1: %r" % subStr
        break
      else:
        print "subStr2: %r" % subStr
        wordLen = wordLen - 1
        subStr = subStr[-wordLen:None]
#      print "subStr3: ", subStr
    wordList.append(subStr)
    segStr = segStr[0: -wordLen]
    segStrLen = segStrLen - wordLen
  wordList.reverse()
  for wordstr in wordList:
    print "wordstr: ", wordstr
  return wordList
    
      
def main():
  fp_dict = open('words.dic')
  wordDict = {}
  for eachWord in fp_dict:
    wordDict[u(eachWord.strip(), 'utf-8')] = 1
  segStr = ur'你好世界hello world'
  print segStr
  wordList = bwd_mm_seg(wordDict, 10, segStr)
  print "==".join(wordList)
 
if __name__ == '__main__':
  main()
  

以上这篇python正向最大匹配分词和逆向最大匹配分词的实例就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持【听图阁-专注于Python设计】。

相关文章

python基础教程之简单入门说明(变量和控制语言使用方法)

简介有兴趣可以看看: 解释性语言+动态类型语言+强类型语言交互模式:(主要拿来试验,可以试试 ipython)复制代码 代码如下:$python>>> print 'h...

Python函数装饰器原理与用法详解

本文实例讲述了Python函数装饰器原理与用法。分享给大家供大家参考,具体如下: 装饰器本质上是一个函数,该函数用来处理其他函数,它可以让其他函数在不需要修改代码的前提下增加额外的功能,...

PyCharm 常用快捷键和设置方法

PyCharm 常用快捷键和设置方法

pycharm常用快捷键 1、编辑(Editing) Ctrl + Space基本的代码完成(类、方法、属性) Ctrl + Alt + Space快速导入任意类 Ctrl + Shif...

在Django中编写模版节点及注册标签的方法

编写模板节点 编写自定义标签的第二步就是定义一个拥有 render() 方法的 Node 子类。 继续前面的例子,我们需要定义 CurrentTimeNode : import da...

用TensorFlow实现戴明回归算法的示例

用TensorFlow实现戴明回归算法的示例

如果最小二乘线性回归算法最小化到回归直线的竖直距离(即,平行于y轴方向),则戴明回归最小化到回归直线的总距离(即,垂直于回归直线)。其最小化x值和y值两个方向的误差,具体的对比图如下图。...