Python如何实现对中文文本分段分句

import redef cut_sent(para):    para = re.sub('([。！？?])([^”'])', r"1
2", para)    para = re.sub('(.{6})([^”'])', r"1
2", para)    para = re.sub('(…{2})([^”'])', r"1
2", para)    para = re.sub('([。！？?][”'])([^，。！？?])', r'1
2', para)    para = para.rstrip()    return para.split("
")# 这一段文字分句后应该有的结果s = '今天天气好啊！'     '温度高吗？你好，很高兴遇见你，真不错。'     '小明遇见小红说："你的衣服这好看！"'     '小红说："什么？衣服真好看？真的吗？"'     '小明回答到："嗯，真的！我也想买。"'for i in cut_sent(s):    print(i)    #结果将人物语句也分开"""今天天气好啊！温度高吗？你好，很高兴遇见你，真不错。小明遇见小红说："你的衣服这好看！"小红说："什么？衣服真好看？真的吗？"小明回答到："嗯，真的！我也想买。""""

def connect(paragraph):    sentence_before = []    sentence_after = []    for each_para in paragraph:        sentence_before.append(cut(each_para))    # 核心代码！（将被错分的语句进行连接）    for each in sentence_before:        list = []        sentence = ""        FLAG = True # 非常关键！判断有'：“'的符号后面的语句是否继续拼接        for i in each:            if i.find('：“') * i.find('”') >= 0 and FLAG:                list.append(i + sentence)            else:                FLAG = False                sentence = sentence + i                if i.find('”') > 0:                    list.append(sentence)                    sentence = ""                    FLAG = True        sentence_after.append(list)    return sentence_after

import reimport pandas as pd# 将整篇文章进行分段def segments(url):    raw = pd.read_csv(url,names=['txt'], sep='aaa', encoding="GBK" ,engine='python')    def m_head(tem_str):        return tem_str[:1]    def m_mid(tmp_str):        return tmp_str.find("回 ")    raw['head'] = raw.txt.apply(m_head)    raw['mid'] = raw.txt.apply(m_mid)    raw['len'] = raw.txt.apply(len)    chap_num = 0    for i in range(len(raw)):        if raw['head'][i] == "第" and raw['mid'][i] > 0 and raw['len'][i] < 30:            chap_num += 1        if chap_num >= 40 and raw['txt'][i] == "附录一：成吉思汗家族":            chap_num = 0        raw.loc[i, 'chap'] = chap_num    del raw['head']    del raw['mid']    del raw['len']    tmp_chap = raw[raw['chap'] == 7].copy()    tmp_chap.reset_index(drop=True, inplace=True)    tmp_chap['paraidx'] = tmp_chap.index    paragraph = tmp_chap['txt'].values.tolist()    return paragraph# 将每段进行分句def cut(para):    # 相关规则    pattern = ['([。！？?])([^”'])','(.{6})([^”'])','(…{2})([^”'])','([。！？?][”'])([^，。！？?])']    for i in pattern:        para = re.sub(i, r"1
2", para)    para = para.rstrip()    return para.split("
")# 将其中被错分的语句进行连接(主要是针对话语)def connect(paragraph):    sentence_before = []    sentence_after = []    for each_para in paragraph:        sentence_before.append(cut(each_para))    # 核心代码！（将被错分的语句进行连接）    for each in sentence_before:        list = []        sentence = ""        FLAG = True # 非常关键！判断有'：“'的符号后面的语句是否继续拼接        for i in each:            if i.find('：“') * i.find('”') >= 0 and FLAG:                list.append(i + sentence)            else:                FLAG = False                sentence = sentence + i                if i.find('”') > 0:                    list.append(sentence)                    sentence = ""                    FLAG = True        sentence_after.append(list)    return sentence_after# 将最后的结果保存到DataFramedef toDataFrame(list3):    df = pd.DataFrame(columns=["content","paragraph","sentence"])    for para_num,i in enumerate(list3):       for sentence_num,j in enumerate(i):            df_ = pd.DataFrame({"content": j, "paragraph": para_num,"sentence":sentence_num+1},index=[para_num])            df = df.append(df_,ignore_index=True)    for i in df['content'].values.tolist():        print(i)def main():    # URL = "/Users/dengzhao/Downloads/金庸-射雕英雄传txt精校版.txt"    URL = input("请输入文件地址：")    para = segments(URL)    result = connect(para)    print(result)    flag = input("以DataFrame形式输出数据(Y,N)：")    if flag == 'Y':        toDataFrame(result)    elif flag == 'N':        print("Thanks！！！！")    else:        print("程序结束！请检查的你的输入！")if __name__ == '__main__':    main()