python - 重新排列文本 block ，使每个文本 block 都以完整的句子结尾

Question

我有三组文本 block (实际上还有更多...)，它们显示了完整文本的一部分。然而，原始文本的分割没有正确完成，因为一些句子被分成两个文本 block 。

text1 = {"We will talk about data about model specification parameter \
estimation and model application and the context where we will apply \
the simple example.Is an application where we would like to analyze \
the market for electric cars because"};

text2 = {"we are interested in the market of electric cars.The choice \
that we are interested in is the choice of each individual to \
purchase an electric car or not And we will see how"};

text3 = {"to address this question. Furthermore, it needs to be noted that this is only a model text and there is no content associated with it. "};

例如 text2 以“我们对电动汽车市场感兴趣”开头。这是一个不完整的第一句话，实际上是从文本 block 1 开始的(请参阅那里的最后一句话)。

我想确保每个文本 block 都以一个完整的句子结尾。所以我想把不完整的第一句话移到最后一个文本 block 。例如这里，结果将是:

 text1corr = {"We will talk about data about model specification parameter \
    estimation and model application and the context where we will apply \
    the simple example.Is an application where we would like to analyze \
    the market for electric cars because we are interested in the market of electric cars."};

text2corr = {"The choice that we are interested in is the choice of each individual to purchase an electric car or not And we will see how to address this question."};

text3corr = {"Furthermore, it needs to be noted that this is only a model text and there is no content associated with it. "};

我如何在 Python 中完成它？这甚至可能吗？

Answer 1

您可以使用函数 zip_longest() 来迭代字符串对:

from itertools import zip_longest
import re

l = [text1, text2, text3]
new_l = []

for i, j in zip_longest(l, l[1:], fillvalue=''):
    # remove leading and trailing spaces
    i, j = i.strip(), j.strip()
    # remove leading half sentence
    if i[0].islower():
        i = re.split(r'[.?!]', i, 1)[-1].lstrip()
    # append half sentence from next string
    if i[-1].isalpha():
        j = re.split(r'[.?!]', j, 1)[0]
        i = f"{i} {j}."
    new_l.append(i)

for i in new_l:
    print(i)

输出:

We will talk about data about model specification parameter estimation and model application and the context where we will apply the simple example.Is an application where we would like to analyze the market for electric cars because we are interested in the market of electric cars.
The choice that we are interested in is the choice of each individual to purchase an electric car or not And we will see how to address this question.
Furthermore, it needs to be noted that this is only a model text and there is no content associated with it.