dependencygraph.py 文件源码

def from_sentence(sent):
        tokens = nltk.word_tokenize(sent)
        tagged = nltk.pos_tag(tokens)

        dg = DependencyGraph()
        for (index, (word, tag)) in enumerate(tagged):
            dg.nodes[index + 1] = {
                'word': word,
                'lemma': '_',
                'ctag': tag,
                'tag': tag,
                'feats': '_',
                'rel': '_',
                'deps': defaultdict(),
                'head': '_',
                'address': index + 1,
            }
        dg.connect_graph()

        return dg