问题描述：

已知句子按行存放在.txt记事本中，现在想要实现对句子进行解析（获取词性，依存关系分析，头节点），按照下图格式存放在json文件中。

 其中，postag中存放的是对sentence进行词性标注之后的结果，head存放的是依存关系解析，当前token对应的头， deprel存放的是依存关系解析标签。

问题解决：

import json
import stanza

file_txt = "/data/qtxu/EMCGCN-ASTE-main/data_COQE/Camera-COQE/test_only_sentence.txt"
file_json = "/data/qtxu/EMCGCN-ASTE-main/data_COQE/Camera-COQE/test_vocab.json"

def get_tags2(tags1):
    '''
    将通过staza进行词性标注的结果,进行重新排序标注
    '''
    count_dict = {}
    tags2 = []
    for tag in tags1:
        if tag not in count_dict:
            count_dict[tag] = 0
        tags2.append(f"{count_dict[tag]}-{tag}")
        count_dict[tag] += 1 if tag not in {'PART', 'PUNCT','ADV','DET', 'SYM', 'SPACE'} else 0 # 扣除一些不常见的词语，不参与计数
    return tags2

stanza.download('en')
nlp_en = stanza.Pipeline('en')
def get_params(sentence, nlp):
    en_doc = nlp(sentence)
    postag = []
    head = []
    deprel = []
    for i, sent in enumerate(en_doc.sentences):
        # print("[Sentence {}]".format(i+1))
        for word in sent.words:
            postag.append(word.pos)
            head.append(word.head)
            deprel.append(word.deprel)
    return postag, head, deprel
    

with open(file_txt, "r") as fr:
    sentences = [line.strip() for line in fr.readlines()] # 存放在list中

# Function one ： format[{……}，{……}]
data = []
for num in range(len(sentences)):
    dict_ = {}
    dict_['id'] = str(num)
    dict_['sentence'] = sentences[num]
    # pos, dep = get_pos_and_dep(sentences[num], nlp_en)
    pos, head, deprel = get_params(sentences[num], nlp_en)
    dict_['postag'] = get_tags2(pos)
    dict_['head'] = head
    dict_['deprel'] = deprel
    
    data.append(dict_)

with open(file_json, 'w+') as fw:
    json.dump(data, fw, separators=(',', ':'))


# Fucntion two: format：{
   
   {}，{}，{}}
# dict_ = {}
# for num in range(len(sentences)):
#     dict_params = {}
#     pos, head, deprel = get_params(sentences[num], nlp_en)
#     dict_params['postag'] = get_tags2(pos)
#     dict_params['head'] = head
#     dict_params['deprel'] = deprel
    
#     dict_[str(sentences[num])] = dict_params


# with open(file_json, 'w+') as fw:
#     json.dump(dict_, fw, separators=(',', ':'))

print("task ending!!!")