使用 spacy 和 html 突出显示动词短语

Question

我设计了一个红色字体动词短语的代码并将其输出为 HTML。

from __future__ import unicode_literals
import spacy,en_core_web_sm
import textacy
import codecs
nlp = en_core_web_sm.load()
sentence = 'The author is writing a new book. The dog is barking.'
pattern = r'<VERB>?<ADV>*<VERB>+'
doc = textacy.Doc(sentence, lang='en_core_web_sm')
lists = textacy.extract.pos_regex_matches(doc, pattern)
with open("my.html","w") as fp:
    for list in lists:
        search_word = (list.text)
        fp.write(sentence.replace(search_word, '<span style="color: red">{}</span>'.format(search_word)))

电流输出

The author **is writing** a new book. The dog is barking.The author is writing a new book. The dog **is barking.**

句子重复了两次，第一次是写作，最后一次是吠叫。

预期输出：

The author **is writing** a new book. The dog **is barking.**

在将其发送到列表检查之前，我是否必须进行句子标记化？请帮忙？

Answer 1

找到了另一种更合乎逻辑的方法。与其在整个句子中替换，不如在有模式的句子中替换。

with open("my.html","w") as fp:
for _list in lists:
    search_word = (_list.text)
    containing_sentence = [i for i in sentence.split('.') if str(search_word) in str(i)][0]
    fp.write(containing_sentence.replace(search_word, '<span style="color: red">{}</span>'.format(search_word)))

上面的代码会把句子分开写。如果您想将其作为一个句子进行，请将修改附加到列表中，然后在写入文件之前将它们加入，如下所示。

mod_sentence = []
for _list in lists:
    search_word = (_list.text)
    containing_sentence = [i for i in sentence.split('.') if str(search_word) in str(i)][0]+'.'
    mod_sentence.append(containing_sentence.replace(search_word, '<span style="color: red">{}</span>'.format(search_word)))
with open("my.html","w") as fp:
    fp.write(''.join(mod_sentence))

希望这会有所帮助！干杯!