algorithm.py 文件源码

def findtags(self, tag_prefix, tagged_text):
        '''
        Find all words that match a 'tag' (word type) prefix

        :param tag_prefix: The tag prefix
        :type  tag_prefix: ``str``

        :param tagged_text: The text to search
        :type  tagged_text: ``list`` of ``dict``
        '''
        cfd = nltk.ConditionalFreqDist((tag, word) for (word, tag) in tagged_text
            if tag.startswith(tag_prefix))
        return dict((tag, cfd[tag].most_common(50)) for tag in cfd.conditions())