有人能帮忙做mrjob和pymorphy2吗？我是python和hadoop的新手。我有点理解如何执行文本标记化，但我不理解如何使用pymorphy2从形态学上分解生成的标记。也许我做错了什么，但我不明白。这是我的密码：

from mrjob.job import MRJob
import re, pymorphy2
morph = pymorphy2.MorphAnalyzer()
WORD_RE = re.compile(r"[\w']+")

     class MRMorphWord(MRJob):

        def mapper(self, _, line): 
            for word in WORD_RE.findall(line):            
                yield (word.lower(), 1)

        def reducer(self, _, word):
            for i in word:
                p = morph.parse(word)[0] 
                yield p                  

    if __name__ == '__main__':
        MRMorphWord.run()

以下是错误消息：

parse
    word_lower = word.lower()
AttributeError: 'generator' object has no attribute 'lower'