xml文本到标记矩阵

Question

我想从xml文件中创建一个矩阵或标签列表

例如，给定以下xml：

<?xml version="1.0" encoding="UTF-8"?>
Words about John.  
 <person Key="NameHash:001">John Master-Smith</person> is a coder.
<person Key="NameHash:002">Aleksandra</person> likes goldfish.
She likes to dance.

我可以通过python检索文本：

with open('test.txt.xml') as f:
    soup = BeautifulSoup(f, 'html.parser')
    text = soup.get_text()

返回：

Words about John.
 John Master-Smith is a coder.
Aleksandra likes goldfish.
She likes to dance.

在此之后，我分为代币：

[['Words', 'about', 'John']
['John', 'Master-Smith', 'is', 'a', 'coder']
['Aleksandra', 'likes', 'goldfish']
['She', 'likes', 'to', 'dance']]

我想做的是将这些标记映射到一个数组，该数组指示标记是否在标记中

例如，我想返回：

[[None, None, None]
['NameHash:001', 'NameHash:001', None, None, None]
['NameHash:002', None, None]
[None, None, None, None]]

有人知道怎么做吗

---

我已经试过了，但不幸的是，我希望能够知道原始xml中的文本是否真的存在于标记中，而不仅仅是看到某个用户给定的字符串是否存在于xml中的标记中

with open('test.txt.xml') as f:
    soup = BeautifulSoup(f, 'html.parser')
    text = soup.get_text()
    tag_text = [x.string for x in soup.find_all('person')]
    # split into word tokens with specific tokenizer
    sentences = tokenize(text)
    tag_mask_all_sentences = []
    for sentence in sentences:
        print(sentence)
        sentence_mask = []
        for word in sentence:
            found = False
            for s in tag_text:
                if word in s:
                    sentence_mask.append(1)
                    found = True
            if found==False:
                sentence_mask.append(None)
        tag_mask_all_sentences.append(sentence_mask)

    for tag_mask in tag_mask_all_sentences:
        print(tag_mask)

返回：

['Words', 'about', 'John']
['John', 'Master-Smith', 'is', 'a', 'coder']
['Aleksandra', 'likes', 'goldfish']
['She', 'likes', 'to', 'dance']

[None, None, 1]
[1, 1, None, 1, 1, None]
[1, None, None]
[None, None, None, None]

你可以看到，这是不太正确的，因为第一句的'约翰'不在标签。我真的不知道“is”和“a”是怎么回事。。。我认为这是因为它发现这些字符存在于标签文本中-这显然是非常错误的

最终，我需要的输出的一种更简单的方式是这样的：w是一个单词，0是填充，.是非标记的，T是标记的。