从difflib获取更多粒度的diff（或对diff进行后处理以实现同一目的的方法）
问题内容：
下载此页面并对其进行较小的编辑，将本段中的前
65 更改为 68 ：
然后我分析有两个来源 BeauifulSoup 并用Diff他们 difflib 。
url = 'https://secure.ssa.gov/apps10/reference.nsf/links/02092016062645AM'
response = urllib2.urlopen(url)
content = response.read() # get response as list of lines
url2 = 'file:///Users/Pyderman/projects/temp/02092016062645AM-modified.html'
response2 = urllib2.urlopen(url2)
content2 = response2.read() # get response as list of lines
import difflib
d = difflib.Differ()
diffed = d.compare(content, content)
soup = bs4.BeautifulSoup(content, "lxml")
soup2= bs4.BeautifulSoup(content2, "lxml")
diff = d.compare(list(soup.stripped_strings), list(soup2.stripped_strings))
changes = [change for change in diff if change.startswith('-') or change.startswith('+')]
for change in changes:
print change
打印更改将给出：
- The Achieving a Better Life Experience (ABLE) Act, H.R. 5771, legislation passed on December 19, 2014. It contains a Title II provision that changes the age at which workers compensation/public disability offset ends for disability beneficiaries from age 65 to full retirement age (FRA). This provision will apply to any individual who attains age 65 on or after December 19, 2015 (the one year anniversary of enactment of this bill). Two new Universal Text Identifiers (UTIs), UTI WCP060 and WCP061 were created to comply with this change.
+ The Achieving a Better Life Experience (ABLE) Act, H.R. 5771, legislation passed on December 19, 2014. It contains a Title II provision that changes the age at which workers compensation/public disability offset ends for disability beneficiaries from age 68 to full retirement age (FRA). This provision will apply to any individual who attains age 65 on or after December 19, 2015 (the one year anniversary of enactment of this bill). Two new Universal Text Identifiers (UTIs), UTI WCP060 and WCP061 were created to comply with this change.
因此，尽管进行了很小的更改，但它还是打印了整个段落。我想这是一件好事，它显示的是整个段落的差异而不是句子的差异，但是我们可以以某种方式使输出更细粒度吗？就目前而言，似乎我只想突出显示
已更改的文本， 就必须对这两个几乎完全相同的字符串进行一些额外的增量比较。
问题答案：
您可以nltk.sent_tokenize()用来将汤串分割成句子：
from nltk import sent_tokenize
sentences = [sentence for string in soup.stripped_strings for sentence in sent_tokenize(string)]
sentences2 = [sentence for string in soup2.stripped_strings for sentence in sent_tokenize(string)]
diff = d.compare(sentences, sentences2)
changes = [change for change in diff if change.startswith('-') or change.startswith('+')]
for change in changes:
print(change)
仅在检测到更改的地方打印适当的句子：
- It contains a Title II provision that changes the age at which workers compensation/public disability offset ends for disability beneficiaries from age 65 to full retirement age (FRA).
+ It contains a Title II provision that changes the age at which workers compensation/public disability offset ends for disability beneficiaries from age 68 to full retirement age (FRA).
