NLP 多列表嵌套合并一个list

读取txt文本并按照空格分词

sentence_list =[]
with open("train_all.txt",'r') as f:
    for line in f:
        sentence_list.append(list(line.strip(' ').split(' ')))

#多个嵌套list合并成一个

def nested_list(list_raw,result):
    for item in list_raw:
        if isinstance(item, list):
            nested_list(item,result)
        else:
            result.append(item)
    return  result

#输出CSV格式

def main():
    list_raw = sentence_list
    result = []
    with open('sentence.csv','w') as out:
        for d in  nested_list(list_raw,result):
            out.write(str(d)+'\n')
main()

先记录一下，代码还有问题，标点符号没有分开。