用几十行代码实现python中英文分词

说到分词大家肯定一般认为是很高深的技术，但是今天作者用短短几十行代码就搞定了，感叹python很强大啊！作者也很强大。不过这个只是正向最大匹配，没有机器学习能力

# -*- coding:utf-8 -*-       #写了一个简单的支持中文的正向最大匹配的机械分词,其它不用解释了，就几十行代码  #附：搜狗词库下载地址：http://vdisk.weibo.com/s/7RlE5       import string  __dict = {}       def load_dict(dict_file='words.dic'):      #加载词库，把词库加载成一个key为首字符，value为相关词的列表的字典           words = [unicode(line, 'utf-8').split() for line in open(dict_file)]           for word_len, word in words:          first_char = word[0]          __dict.setdefault(first_char, [])          __dict[first_char].append(word)              #按词的长度倒序排列      for first_char, words in __dict.items():          __dict[first_char] = sorted(words, key=lambda x:len(x), reverse=True)       def __match_ascii(i, input):      #返回连续的英文字母，数字，符号      result = ''      for i in range(i, len(input)):          if not input[i] in string.ascii_letters: break          result += input[i]      return result            def __match_word(first_char, i , input):      #根据当前位置进行分词，ascii的直接读取连续字符，中文的读取词库           if not __dict.has_key(first_char):          if first_char in string.ascii_letters:              return __match_ascii(i, input)          return first_char           words = __dict[first_char]      for word in words:          if input[i:i+len(word)] == word:              return word           return first_char       def tokenize(input):      #对input进行分词，input必须是uncode编码           if not input: return []           tokens = []      i = 0      while i < len(input):          first_char = input[i]          matched_word = __match_word(first_char, i, input)          tokens.append(matched_word)          i += len(matched_word)           return tokens            if __name__ == '__main__':      def get_test_text():          import urllib2          url = "http://news.baidu.com/n?cmd=4&class=rolling&pn=1&from=tab&sub=0"          text = urllib2.urlopen(url).read()          return unicode(text, 'gbk')           def load_dict_test():          load_dict()          for first_char, words in __dict.items():              print '%s:%s' % (first_char, ' '.join(words))           def tokenize_test(text):          load_dict()          tokens = tokenize(text)          for token in tokens:              print token           tokenize_test(unicode(u'美丽的花园里有各种各样的小动物'))      tokenize_test(get_test_text())